Ship Mechanic Jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Build the function.<br> Be its first practitioner.<br> Zero models in production.<br> That is the honest starting line, and it is also the offer.<br> DigitalZone has the parts most companies are still fighting for: a unified warehouse, data engineering and analytics teams already running, and behavioural and transaction data from a digital goods business, a ticketing platform and a regulated trading venue.<br> What it does not have is a single model deciding anything.<br> Nothing scores fraud risk, nothing forecasts demand, nothing chooses what a customer sees next.<br> You are the first data science hire.<br> You will build the team, set how it works, and personally be the data scientist for Platform: payments, identity and marketing technology.<br> You report directly to the executive who owns Product and Data, so the distance between your finding and a decision is one conversation.<br> It also means there is nobody to hide behind when a model does not work.<br> The hard part Fraud in a cash-heavy market with agent networks and chargeback exposure does not sit still.<br> Your model will be adversarial from day one, and the threshold you set is a live tradeoff between loss prevented and customers blocked.<br> That call will be yours to make and yours to defend.<br> Identity is the other half.<br> Customer records arrive from several products and a partner login, and resolving them into one trustworthy profile is what makes personalisation, risk scoring and half the company's roadmap possible.<br> Nobody has done it yet.<br> What you'll do Build the function from one person to a team: charter, hiring, and the standard for how a model is specified, validated, shipped, monitored and retired.<br> Own fraud detection as a product: transaction and payment risk scoring, chargeback and refund abuse, account takeover, promo abuse, agent and merchant anomaly detection.<br> Set the thresholds with fraud and operations, and defend the loss-versus-friction tradeoff.<br> Own the modelling side of identity management: identity resolution and record linkage across sources, deduplication and match confidence, profile completeness scoring, and the unified customer profile that both personalisation and risk read from.<br> Drive the next-best-action and segmentation layer behind personalised customer communication.<br> Get models into production and keep them there, with the cloud team on serving and MLOps: monitoring, drift, retraining, rollback, and one measurable business outcome per model you are willing to be judged on.<br> Own the planning models: demand and stock forecasting, predictive budget, category and SKU level targets, churn and lifetime value.<br> Own experiment design across product and marketing: hypothesis, minimum detectable effect, decision rule, and honest readouts including the null ones.<br> Agree the boundary with data engineering and analytics.<br> It is not settled today.<br> Settling it is part of the job.<br> Bring stakeholders a decision, not a notebook.<br> Definitions come from the company metric contract, and an unvalidated figure does not become a fact by appearing in a deck.<br> Immediate, large-scale impact on a high-growth business Top-of-the-market compensation packages Work alongside top regional talent, with team members from Talabat, Careem, Etisalat, and more What you'll bring 7+ years in data science, 2+ leading or mentoring scientists.<br> Having been the first or second scientist somewhere counts double.<br> Models in production with a measured business outcome.<br> Hard requirement: live traffic, monitored, effect quantified.<br> A portfolio of notebooks is not this.<br> Fraud or risk modelling depth, plus at least one of: identity resolution and entity matching, forecasting, churn and lifetime value, personalisation, uplift modelling, causal inference.<br> Strong SQL against large transaction and event data in a columnar warehouse, strong Python, and code someone else can run next quarter.<br> Experimental and causal rigour, including quasi-experimental methods where randomisation is not possible.<br> Consumer fintech or payments fluency: transactions, funnels, cohorts, fraud patterns.<br> The ability to align product, engineering, marketing and commercial on one problem definition before any modelling starts.<br> AI-assisted working, with the rule that you never ship output you cannot explain.<br> Nice to have Built a data science function from zero, including the first hires and the first deployment path.<br> Fraud or payment risk in a market with cash-heavy behaviour, chargeback exposure or agent networks.<br> Identity graph, KYC or customer data platform experience.<br> MENA or emerging-market consumer data, with the data quality reality that comes with it.<br> Arabic. What we will not pretend There is no team yet, no serving infrastructure you can lean on, and no data science rubric to hide behind.<br> The first six months are you, a warehouse and a lot of stakeholder conversations.<br> What you get in return is a blank page at a company that has already decided models matter, and the rare chance to be judged on outcomes you defined yourself.<br> If you want to join a mature data science org, this is the wrong role.<br> If you want to be the reason one exists, apply.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description</span><ul><li><b>Are You Ready to Make It Happen at Mondelēz International?</b></li></ul><br><p><b>Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.</b></p><br><br><p>You are responsible for ensuring that projects are successfully completed on time and on budget. This includes project governance, budget and timeline development, build quality, testing and operational readiness, and the completed project’s readiness to go live.</p><br><br><p><b>How you will contribute</b></p><br><br><p>You will:</p><br><ul><li>Drive consistency and quality in the execution of projects using the appropriate methodology and tools</li><li>Identify, assess, and mitigate project-level risks and escalate them to global leads and/ or the program manager when needed</li><li>Provide project reporting and status updates using scorecards, status reports and monthly review meetings and leading stakeholder meetings</li><li>Lead budget management, resource planning and utilization</li><li>Confirm the completion and consistency of projects and their readiness to go live</li><li>Own the relationship with the external vendors including quality assurance in all phases of project delivery</li></ul><br><p><b>What you will bring</b></p><br><br><p>A desire to drive your future and accelerate your career and the following experience and knowledge:</p><br><ul><li>Proven experience in project management methodology</li><li>Excellent communication skills and able to drive effective discussions with project resources from tactical execution level up to steering committee members</li><li>Excellent project planning and proactiveness in identifying risks and mitigations and managing strict timelines</li><li>Strong focus on cost, schedule and quality of project delivery</li><li>Knowledge of relevant business processes and related technology solutions&nbsp;&nbsp;</li><li>Stakeholder management and ability to influence positively in decision making</li><li>Proven ability in building effective teams across internal and external partners</li><li>Strong conceptual and analytic skills – enjoys problem solving</li></ul><p><b><u>More about this role</u></b></p><br><br><p><b>What you need to know about this position:</b></p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Execute with excellence all projects according to I2M guidelines to deliver projects on time and within quality &amp; cost parameters as defined for the project</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure projects visibility to all functions, manage project team to deliver project efficiently to meet defined timeline</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Facilitate cross functional coordination within the project team (marketing, R&amp;D, BD, operations, quality, regulatory, procurement, finance, demand &amp; supply planning).</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Moderate meetings and teleconferences related to projects</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Manage project evaluation process for major NPD launches</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure project evaluation process is formalized and shared with projects teams, PAM &amp; MOR</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure Master Data accuracy, timely initiation and distribution to all concerned parties</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Follow up onthe Design to Print process for pack artworks for respective category, coordinate pack designs development and approval</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Drive De-complexity initiatives in category product portfolio</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Manage Key Performance Indicators reporting for PCM function</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure timely communication of NPD forecast to Demand &amp; supply planning for launch planning</p><br><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Provide required data for PMR preparation</p><br><br><p><b>What extra ingredients you will bring:</b></p><br><br><ul><li><b>Lead, develop and Execute I2M related projects</b></li></ul><br><ul><li>Support preparation of Product Development brief with the appropriate Brand team (Product Development Request).&nbsp; Challenge cross-functional feedback, design, cost, timings and feasibility where appropriate during “project development” and “project execution” stages.</li><li>Identify project milestones, align product development related costs and ensure CAPEX requirements are captured for PDR &amp; LR with the support of Business Development leads. Support data collection from all involved functions for IBR request to plants.</li><li>Manage cross-functional perspective collection and key constraint highlights during stage gate document submission.</li><li>Ensure timely documents submission to Category MOR and in-market Project Alignment Meetings.</li><li>Produce and update category NPD funnel for MOR meeting.</li></ul><ul><li><b>Track, monitor and communicate progress of all projects</b></li></ul><br><ul><li>Review project status and bring challenges to the notice of the project team/ key stake holders on a regular basis (e.g. Brand, Plant, R&amp;D, CS&amp;L, Procurement, etc.) </li><li>Lead discussions on actions, updates, review priorities and facilitate the resolution of issues; Issue minutes of meeting highlighting next steps, timing and responsible for action members.</li><li>Manage project from IC or PDR approval stage till in-market launch including: forming project team, kick-off and status update meetings, risk management and contingency plan evaluation for further decision-making by Project owner and core project team.</li><li>Produce, communicate and agree project timelines with all key stake holders including Regional Category Teams.</li><li>Propose and agree projects prioritization with Category Team.</li><li>Manage projects post evaluation including data collection with involved functions (DP&amp;SP, SS&amp;O, Marketing, etc.) to prepare &amp; share learning with MOR &amp; PAM;</li></ul><ul><li><b>Manage reporting activities of Product Change Management function</b></li></ul><br><ul><li>Monitor product portfolio and propose portfolio de-complexity to category teams (1in 1out approach) by tracking category SKU Bridge regional reporting&nbsp;</li><li>Monitor Project Bridge for active and planned projects as per category 421 and recommendations as per PMR/MBR feedback</li><li>Control data accuracy in MyProject tool through projects status check and system cleaning when &nbsp;appropriate</li><li>Provide SKU and PCM related KPI report as required</li><li>Track timely project delivery and report project workload to PCDM</li><li>Manage preparation of category PMR presentation, including data reconciliation between Marketing, DP&amp; SP and BD</li></ul><br><ul><li><b>Ensure FG Master Data initiation and management in MDG and PEGA&nbsp;&nbsp;</b></li><li>Initiate SKU code and GTIN codes creation for new products in MDG tool</li><li>Initiate FG data collection through PEGA, monitor FG code set-up in SAP and planning systems for all NPD and I2M project related code changes</li><li>Ensure timely distribution of updated master data and logistics details for new and renovated products to CS&amp;L, Marketing and SS&amp;O functions – to ensure information systems can be properly set up to produce, ship, sell and invoice our products.</li><li>Perform regular data reconciliation for SKUs in category portfolio</li></ul><ul><li><b>Manage the service of artwork and origination providers, together with Marketing and Procurement</b></li><li>Lead D2P timing not process for final repro file preparation including data collection from R&amp;D, Procurement, Marketing and Regulatory; follow up to complete data and A+R sheet submission to D2P provider, AW and repro approval control in SGS tool</li><li>Identify and report variances in aligned/ budgeted project cost vs. actuals; facilitate dialogue to find solutions from the project team&nbsp;</li><li>Manage the D2P committed timings</li><li>Support development of stickers for in market promotions as required</li></ul><br><ul><li><b>Lead relationships and partnerships</b></li><li>Communicate/ brief Plant team, Regional and Global team and other key interfaces on:</li><li>Project plans and timelines</li><li>Product Change objectives and targets</li><li>Product Change processes</li><li>Resolve cross-departmental issues in implementing new project in a proactive manner, promoting and supporting team based approach wherever possible.</li></ul><br><p><b>Education / Certifications:</b></p><br><p>Bachelor's degree in management, economics, engineering, food technology.</p><br><br><p><b>Job specific requirements:</b></p><br><ul><li>English Fluency</li><li>PC skills: MS Word, MS excel, MS PowerPoint, MS Project</li><li>Economics, marketing, trade marketing - basic appreciation</li><li>Cost of goods structure – basic understanding</li><li>Working knowledge of the Supply chain and basic supply chain principles</li><li>Logistics operations appreciation</li><li>Category / Brand / business structure and processes comprehension</li><li>Operations / production processes management – basic understanding</li><li>Legal / regulatory / quality appreciation</li><li>FMCG industry: markets, competitors, brands awareness</li></ul><br><p><b>Work schedule:</b></p><br><p>Full-Time</p><br>&amp;#xa;&amp;#xa;No Relocation support available<span><b>Business Unit Summary</b></span>Mondelēz International in the Middle East, North Africa and Pakistan serves the Middle East and Africa markets as well as Australia, New Zealand, the UK and Canada. Headquartered in Dubai, UAE, we have more than 2600 employees working across seven plants and six commercial offices; we make, bake, sell and deliver our products to customers. We are market leaders in key snacking categories with iconic global and local brands including Cadbury Dairy Milk chocolate, Milka, Oreo and belVita biscuits, Barni Cakes,Tang powdered beverage, Chiclets and Trident gum and Halls candy.&nbsp;<p>Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.</p><br><b><span>Job Type</span></b>RegularProject and Program ManagementBusiness Capability </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><em><strong>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.</strong></em></p><br>Client Overview<p>Our client operates a multi-tenant feedback and reputation management platform serving businesses across restaurant, automotive, fitness, wellness, and hospitality industries. The platform enables organizations to collect and manage customer feedback through SMS, email, and live dashboards while connecting with dozens of third-party POS, dealer management, reservation, and business systems.</p><br><p>As the platform continues to operate at significant scale across thousands of business locations, they are seeking a <strong>Senior Backend Engineer</strong> to strengthen backend architecture, integrations, data processing, performance, and production reliability.</p><br>Role Overview<p>The <strong>Senior Backend Engineer</strong> will work primarily within a mature, actively developed Laravel codebase and own backend features from initial requirements and database changes through development, deployment, and production monitoring.</p><br><p>A major focus of this role will be building and maintaining reliable integrations with external platforms, including systems that may provide inconsistent, duplicated, delayed, or unreliable data. The Senior Backend Engineer will design resilient ingestion and asynchronous processing workflows while troubleshooting complex production and data issues across multiple systems.</p><br><p>This is a deeply backend-focused position for an experienced PHP/Laravel engineer with strong database fundamentals, third-party API experience, practical AWS knowledge, and excellent production debugging skills. The ideal candidate also actively uses AI-assisted coding tools while maintaining the independent engineering judgment necessary to validate, debug, and take ownership of everything they ship.</p><br>Location<p><strong>Fully Remote | 9:00 AM - 5:00 PM EST</strong></p><br>Key ResponsibilitiesBackend Engineering &amp; Feature Ownership<ul><li><p>Own backend features end to end, including requirements, schema changes, development, deployment, and production monitoring.</p><br></li><li><p>Develop and maintain backend functionality within a mature PHP/Laravel application.</p><br></li><li><p>Design solutions that remain reliable and scalable across a high-volume, multi-tenant SaaS environment.</p><br></li><li><p>Take ownership of technical outcomes rather than focusing solely on framework-level implementation.</p><br></li><li><p>Identify recurring technical issues and proactively recommend improvements to platform architecture, reliability, and performance.</p><br></li></ul>Third-Party Integrations &amp; Data Processing<ul><li><p>Build and maintain integrations with third-party platforms and services.</p><br></li><li><p>Develop webhook receivers, polling jobs, and parsers that ingest and normalize external data.</p><br></li><li><p>Design integrations capable of handling inconsistent, unreliable, duplicated, delayed, and out-of-order vendor data.</p><br></li><li><p>Build resilient ingestion processes that maintain data accuracy as integration volume increases.</p><br></li><li><p>Develop and consume REST APIs and work with external services across multiple industries and use cases.</p><br></li><li><p>Support high-volume transactional messaging and customer feedback workflows.</p><br></li></ul>Asynchronous Processing &amp; Queues<ul><li><p>Design and maintain asynchronous and queue-based workflows using technologies such as AWS SQS.</p><br></li><li><p>Implement appropriate retry, idempotency, duplicate-handling, timeout, and failure-management strategies.</p><br></li><li><p>Manage dead-letter queues and troubleshoot failed background processing.</p><br></li><li><p>Design systems that remain reliable when external services or asynchronous processes behave unexpectedly.</p><br></li><li><p>Support webhook ingestion and background processing at scale.</p><br></li></ul>Database Architecture &amp; Performance<ul><li><p>Design and maintain relational database schemas that support high-volume production workloads.</p><br></li><li><p>Develop appropriate indexing strategies and optimize database queries.</p><br></li><li><p>Use query analysis and EXPLAIN to identify and resolve database performance issues.</p><br></li><li><p>Identify inefficient queries, N+1 problems, and other sources of performance degradation.</p><br></li><li><p>Work with large production datasets across MySQL/AWS Aurora and MongoDB/DocumentDB environments.</p><br></li><li><p>Maintain strong data integrity and performance across multi-tenant applications.</p><br></li></ul>Production Debugging &amp; Reliability<ul><li><p>Investigate complex production and data issues across multiple systems.</p><br></li><li><p>Trace information across MySQL, MongoDB, S3 archives, CloudWatch logs, Sentry, and other production resources.</p><br></li><li><p>Diagnose system failures using logs, traces, error-monitoring platforms, and database analysis.</p><br></li><li><p>Identify root causes rather than only addressing immediate symptoms.</p><br></li><li><p>Monitor deployed features and ensure production systems remain reliable after release.</p><br></li></ul>Testing &amp; Code Quality<ul><li><p>Write automated tests as part of the development process.</p><br></li><li><p>Determine appropriate testing coverage based on system behavior, risk, and business requirements.</p><br></li><li><p>Review other engineers' code and provide meaningful technical feedback.</p><br></li><li><p>Participate in Git and pull-request-based development workflows.</p><br></li><li><p>Maintain high engineering standards across production code, integrations, database changes, and tests.</p><br></li><li><p>Use Docker-based development environments effectively.</p><br></li></ul>AI-Assisted Development<ul><li><p>Use AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or similar tools as part of day-to-day production development.</p><br></li><li><p>Leverage AI tools to improve development efficiency while maintaining independent engineering judgment.</p><br></li><li><p>Review, validate, and improve AI-generated code before shipping it to production.</p><br></li><li><p>Identify incorrect, misleading, or unsafe AI-generated solutions and implement appropriate corrections.</p><br></li><li><p>Critically evaluate AI-generated tests rather than assuming generated coverage or assertions are correct.</p><br></li><li><p>Independently debug and reason through complex systems without depending on AI.</p><br></li><li><p>Determine when AI-assisted development is beneficial and when direct engineering is faster, safer, or more appropriate.</p><br></li><li><p>Maintain a complete understanding of all code shipped to production regardless of whether AI contributed to its creation.</p><br></li></ul>QualificationsExperience<ul><li><p>5+ years of professional backend development experience.</p><br></li><li><p>3+ years of hands-on experience with PHP and a modern PHP framework, with Laravel strongly preferred and Symfony also considered.</p><br></li><li><p>Experience developing and maintaining production backend systems.</p><br></li><li><p>Experience building and consuming REST APIs and integrating third-party services.</p><br></li><li><p>Experience working with queues, background jobs, retries, failures, duplicate delivery, and timeouts.</p><br></li><li><p>Experience building systems around inconsistent or unreliable third-party data.</p><br></li><li><p>Experience working with Git and pull-request-based development workflows.</p><br></li><li><p>Experience using Docker for local development.</p><br></li><li><p>Experience using AI coding assistants on real production software.</p><br></li></ul>Skills<ul><li><p>Deep knowledge of modern PHP 8.x, object-oriented programming, and software design principles.</p><br></li><li><p>Strong Laravel expertise with the ability to work effectively within a mature and actively developed codebase.</p><br></li><li><p>Excellent relational database skills, including schema design, indexing, query optimization, EXPLAIN analysis, and diagnosing performance degradation.</p><br></li><li><p>Strong understanding of asynchronous processing and the engineering considerations required for reliable queue-based systems.</p><br></li><li><p>Able to design resilient third-party integrations that account for retries, idempotency, duplicate delivery, failures, and inconsistent data.</p><br></li><li><p>Strong production debugging abilities with experience tracing complex issues through databases, logs, monitoring systems, and external integrations.</p><br></li><li><p>Strong automated testing judgment with the ability to determine what should be tested and evaluate whether tests accurately validate expected behavior.</p><br></li><li><p>Comfortable working with AWS infrastructure, particularly SQS, Lambda, ECS, S3, CloudWatch, and RDS/Aurora.</p><br></li><li><p>Familiarity with MongoDB or DocumentDB alongside relational database systems is strongly preferred.</p><br></li><li><p>Able to work effectively within multi-tenant SaaS architectures, including tenant isolation and white-label environments.</p><br></li><li><p>Comfortable working with high-volume transactional systems, webhook ingestion, SMS, email, or similar messaging workflows.</p><br></li><li><p>Strong written communication skills for tickets, pull requests, technical documentation, and production investigation write-ups.</p><br></li><li><p>Experienced with AI-assisted development while maintaining the independent technical judgment required to validate and take ownership of production code.</p><br></li></ul>Technical Environment<p>The platform's core backend environment includes PHP 8.4, Laravel 12, MySQL/AWS Aurora, Pest, PHPUnit, Redis, and Laravel Pint.</p><br><p>Infrastructure includes AWS, SQS, AWS Lambda/Bref, ECS Fargate, S3, CloudFront, Docker, Nginx, AWS CodePipeline, and Terraform. Data and observability systems include MongoDB/DocumentDB, CloudWatch, and Sentry.</p><br><p>The platform integrates with numerous external systems across messaging, payments, AI, restaurant technology, reservation systems, automotive technology, and wellness platforms. The wider platform also includes Next.js customer-facing applications and a Node.js realtime layer, although ownership of these systems is not a primary responsibility of this role.</p><br>Preferred Experience<ul><li><p>Experience running serverless PHP applications using Bref or comparable technologies.</p><br></li><li><p>Experience with webhook ingestion at scale, including idempotency, replay, duplicate delivery, and out-of-order events.</p><br></li><li><p>Experience configuring Nginx and working within pipeline-based deployment environments.</p><br></li><li><p>Infrastructure-as-code experience using Terraform.</p><br></li><li><p>Experience with WebSockets or realtime systems.</p><br></li><li><p>Working knowledge of Node.js and TypeScript.</p><br></li><li><p>Experience within hospitality technology, restaurant technology, POS systems, or reservation platforms.</p><br></li><li><p>Experience with Pest.</p><br></li><li><p>Experience using static-analysis tools such as PHPStan or Larastan.</p><br></li></ul>What Success Looks Like<ul><li><p>Backend features are independently owned from requirements through production monitoring.</p><br></li><li><p>Third-party integrations remain reliable despite inconsistent or unpredictable external data.</p><br></li><li><p>High-volume asynchronous workflows process data accurately and recover appropriately from failures.</p><br></li><li><p>Database queries and schemas remain performant as platform data and transaction volume increase.</p><br></li><li><p>Complex production issues are investigated methodically and resolved at their root cause.</p><br></li><li><p>Automated tests provide meaningful protection against regressions and production issues.</p><br></li><li><p>Code reviews contribute to stronger engineering quality across the team.</p><br></li><li><p>AI-assisted development improves engineering velocity without compromising code quality or independent technical judgment.</p><br></li><li><p>The platform remains reliable and scalable as its multi-tenant customer base, integrations, and data volumes continue to grow.</p><br></li></ul><strong><u>Application Process:</u></strong>To be considered for this role these steps need to be followed:<ul><li><p>Fill in the application form</p><br></li><li><p>Record a video showcasing your skill sets</p><br></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Full-Stack Software Engineer – Remote | U.<br>S. Hours Position Type: Full-Time, Remote Working Hours: U.<br>S. Business Hours About the Role At Pavago, one of our clients is hiring an experienced Full-Stack Software Engineer to design, build, and maintain modern web applications across frontend and backend systems.<br> This is a hands-on engineering role for someone comfortable working across the full development lifecycle — from building user-facing applications and backend services to designing APIs, working with databases, troubleshooting production issues, and supporting cloud deployments.<br> You’ll collaborate with product, design, and engineering stakeholders while using modern development practices and AI-assisted engineering tools to ship reliable, scalable software.<br> What You’ll Own Full-Stack Application Development Develop and maintain frontend and backend applications Build scalable, reliable, and maintainable application features Translate product and technical requirements into working software Write clean, well-structured, and reusable code Improve existing applications as requirements evolve Frontend Development Build responsive and user-friendly web interfaces Work with modern frontend frameworks and component-based architectures Integrate frontend applications with backend APIs and services Troubleshoot frontend performance and functionality issues Collaborate with product and design stakeholders on implementation Backend, APIs &amp; Integrations Develop and maintain backend services and application logic Build APIs and integrations with third-party systems Design reliable data flows between applications and external platforms Troubleshoot integration and backend issues Ensure systems remain scalable and maintainable Databases &amp; Data Models Design and work with application databases and data models Work with SQL and/or NoSQL databases Maintain data integrity and application reliability Support database queries, application logic, and performance improvements Testing, Debugging &amp; Code Quality Troubleshoot bugs and production issues Implement testing and development best practices Participate in technical planning and code reviews Improve application reliability and maintainability Help identify technical issues before they affect users Cloud, Deployment &amp; Development Workflows Work with cloud infrastructure and deployment workflows Support application releases and production deployments Use Git and version-control best practices Contribute to reliable development and deployment processes AI-Assisted Software Development Use modern AI development tools to improve engineering productivity Apply AI-assisted workflows to coding, debugging, research, and development Evaluate new AI development capabilities where they can improve execution Maintain strong engineering judgment while using AI-assisted tools Requirements 3+ years of professional software development experience Strong experience with at least one modern frontend framework Backend development experience using a modern programming language and/or framework Experience with SQL and/or NoSQL databases Hands-on experience building or integrating APIs Strong Git and version-control experience Familiarity with cloud platforms and deployment workflows Strong debugging and problem-solving skills Ability to write clean, maintainable, and scalable code Strong communication and collaboration skills Professional working English Ability to work effectively in a remote environment Nice to Have Experience with AI-assisted development tools Experience building production-grade full-stack applications Experience with third-party API integrations Familiarity with automated testing and CI/CD workflows Experience working with cloud-native applications Experience collaborating directly with product and design teams What Makes You a Strong Fit You’ll likely thrive in this role if you: Enjoy building across both frontend and backend systems Take ownership of features from development through deployment Write code with scalability and maintainability in mind Can independently troubleshoot technical problems Communicate effectively with both technical and non-technical stakeholders Are comfortable learning new technologies quickly Use AI development tools thoughtfully to improve speed and productivity What a Typical Day Looks Like Your day may include developing frontend features, building backend services, integrating APIs, working with databases, reviewing code, and troubleshooting application issues.<br> You may also participate in technical planning, collaborate with product and design stakeholders, support deployments, and use AI-assisted development tools to accelerate coding and problem-solving.<br> In short: you build, improve, and maintain reliable web applications across the full technology stack.<br> Key Metrics for Success Consistent delivery of reliable application features Clean, maintainable, and scalable code Stable frontend and backend systems Reliable API and third-party integrations Effective debugging and resolution of production issues Strong code quality and testing practices Smooth deployments and development workflows Effective collaboration across product and engineering teams Interview Process Initial Application Spark Hire One-Way Video Interview Video Interview with Pavago Recruiter Technical / Engineering Interview Client Interview Offer &amp; Onboarding Spark Hire Video Interview – Required As part of the application process, all candidates are required to complete a one-way video interview through Spark Hire .<br> After completing the first step of your application, you’ll receive a Spark Hire invitation by email with instructions to record and submit your video responses.<br> Completion of the Spark Hire video is required to be considered for the next stage .<br> Please check your inbox as well as your spam or junk folder for the invitation.<br> Apply Now If you’re an experienced Full-Stack Software Engineer with hands-on experience across frontend, backend, APIs, databases, and modern development workflows, we’d love to hear from you.<br> Apply today and help build scalable, reliable modern software products.<br> #FullStackEngineer #SoftwareEngineer #FullStackDeveloper #WebDevelopment #FrontendDevelopment #BackendDevelopment #APIDevelopment #SoftwareDevelopment #RemoteDeveloper #RemoteJobs #LI-AG1</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><em><strong>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.</strong></em></p><br><p>Our client is a growing organization investing in AI-powered systems to improve internal operations, automate manual processes, and build more scalable workflows. As the organization expands its use of artificial intelligence and automation, they are seeking an <strong>AI Implementation Specialist</strong> who can combine software development, business process analysis, and emerging AI technologies to turn operational challenges into practical technical solutions.</p><br>Role Overview<p>The <strong>AI Implementation Specialist</strong> will design, build, and implement AI-powered operational systems that improve how the organization works. This role sits at the intersection of software development, business analysis, and automation, requiring someone who can understand business problems and independently translate them into working technical solutions.</p><br><p>The ideal candidate has a strong software development background, enjoys building systems from the ground up, and actively uses AI development tools such as Claude Code to accelerate implementation. This is a hands-on, build-focused role for someone who can analyze workflows, identify automation opportunities, develop solutions, and own them from concept through deployment and ongoing optimization.</p><br>Location<p><strong>Fully Remote | 9:00 AM - 5:00 PM EST</strong></p><br>AI Implementation SpecialistKey ResponsibilitiesAI Systems Development &amp; Implementation<ul><li><p>Build and implement AI-powered solutions that improve internal operations.</p><br></li><li><p>Develop custom workflows, automations, and intelligent systems based on business requirements.</p><br></li><li><p>Use AI coding tools such as Claude Code to accelerate software development and implementation.</p><br></li><li><p>Design, test, and continuously improve AI-enabled processes.</p><br></li><li><p>Own technical solutions from initial concept through deployment and ongoing optimization.</p><br></li></ul>Business Process Analysis &amp; Automation<ul><li><p>Analyze existing business operations to identify inefficiencies and automation opportunities.</p><br></li><li><p>Map workflows and translate operational challenges into practical technical solutions.</p><br></li><li><p>Design automated processes that reduce manual work and improve scalability.</p><br></li><li><p>Partner with stakeholders to understand operational requirements and priorities.</p><br></li><li><p>Continuously identify additional areas where AI and automation can create business value.</p><br></li></ul>Software Development &amp; Technical Building<ul><li><p>Apply software development experience to build practical AI-powered solutions.</p><br></li><li><p>Write, test, and maintain code supporting internal systems and automations.</p><br></li><li><p>Build integrations between tools, platforms, and business workflows.</p><br></li><li><p>Troubleshoot technical issues and improve system reliability.</p><br></li><li><p>Apply strong engineering practices while maintaining speed of execution.</p><br></li><li><p>Build and ship software solutions that address real operational needs.</p><br></li></ul>AI Automation &amp; Workflow Design<ul><li><p>Create AI-driven workflows that automate repetitive and complex tasks.</p><br></li><li><p>Build and manage AI agents that support operational processes.</p><br></li><li><p>Connect AI tools with existing business systems and workflows.</p><br></li><li><p>Evaluate emerging AI technologies and determine how they can be applied to business needs.</p><br></li><li><p>Continuously test, iterate, and improve AI-powered workflows.</p><br></li></ul>Internal Operations Systems<ul><li><p>Build and improve internal operational systems.</p><br></li><li><p>Create scalable processes that allow the organization to operate more efficiently.</p><br></li><li><p>Document workflows, systems, and technical processes.</p><br></li><li><p>Own improvements to AI-powered operational infrastructure.</p><br></li><li><p>Collaborate with leadership to identify and prioritize automation initiatives.</p><br></li><li><p>Proactively identify opportunities to strengthen existing systems and processes.</p><br></li></ul>QualificationsExperience<ul><li><p>5+ years of experience in software development, automation, AI implementation, or a related technical field.</p><br></li><li><p>Strong background building and shipping software solutions.</p><br></li><li><p>Experience creating internal tools, operational systems, or automation workflows.</p><br></li><li><p>Experience analyzing business processes and translating requirements into technical solutions.</p><br></li><li><p>Experience owning technical projects from development through implementation and optimization.</p><br></li><li><p>Hands-on experience using AI tools within software development or automation workflows is strongly preferred.</p><br></li></ul>Skills<ul><li><p>Strong software development skills and understanding of modern engineering practices.</p><br></li><li><p>Hands-on experience with AI coding tools such as Claude Code or similar AI development assistants.</p><br></li><li><p>Ability to build custom automations, integrations, internal systems, and AI-powered workflows.</p><br></li><li><p>Ability to design and implement AI agents that support operational processes.</p><br></li><li><p>Strong understanding of workflow automation and systems integration.</p><br></li><li><p>Ability to write, test, maintain, and troubleshoot code supporting business systems.</p><br></li><li><p>Strong analytical and systems-thinking skills.</p><br></li><li><p>Ability to analyze business workflows and identify opportunities for automation and process improvement.</p><br></li><li><p>Comfortable evaluating and rapidly learning emerging AI technologies.</p><br></li><li><p>Ability to balance development speed with technical quality and system reliability.</p><br></li><li><p>Comfortable independently owning technical projects from concept through deployment.</p><br></li><li><p>Strong documentation and process-development skills.</p><br></li></ul>What Success Looks Like<ul><li><p>AI-powered operational systems are successfully designed, built, and implemented.</p><br></li><li><p>Manual and repetitive processes are meaningfully reduced through automation.</p><br></li><li><p>Internal workflows become faster, more scalable, and more efficient.</p><br></li><li><p>AI coding tools are effectively incorporated into software development and implementation workflows.</p><br></li><li><p>Business challenges are consistently translated into practical technical solutions.</p><br></li><li><p>AI agents and automated workflows reliably support internal operations.</p><br></li><li><p>Internal operational infrastructure becomes stronger and more scalable.</p><br></li><li><p>New automation opportunities are proactively identified, prioritized, and implemented.</p><br></li><li><p>Technical solutions are continuously tested and improved based on business needs.</p><br></li><li><p>Leadership can rely on this role to independently build and own AI-powered operational solutions.</p><br></li></ul>Opportunity<p>This role offers the opportunity to help shape how an organization operates through AI, automation, and software development.</p><br><p>As the <strong>AI Implementation Specialist</strong>, you will have hands-on ownership over building intelligent systems, experimenting with emerging AI technologies, and creating solutions that directly improve business operations.</p><br><p>For a software-minded builder who enjoys AI, automation, systems thinking, and creating solutions from the ground up, this role provides the opportunity to make a significant impact while working at the forefront of AI-enabled operations.</p><br><strong><u>Application Process:</u></strong>To be considered for this role these steps need to be followed:<ul><li><p>Fill in the application form</p><br></li><li><p>Record a video showcasing your skill sets</p><br></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We’re looking for a <b>Senior Product Manager</b> to join Procore’s Product &amp; Technology Team. In this role, you’ll own two of the highest-leverage problems in our customer lifecycle: getting customer data into Procore in an AI-native way, and helping customers help themselves once they're in. The primary goal of this role is to reduce the operational cost of serving customers while accelerating their time to value.</p><br><br><br><p>As a <b>Senior Product Manager, </b>you will start by leading&nbsp;Procore Intake, our AI-powered platform for bringing customer data into Procore. Today, every customer who wants to migrate their data hits the same wall: Procore won't accept the file they have. They download a rigid template, manually reformat their data to match it, and hope it imports on the first try. It often doesn't. The result is slower go-lives, millions in support and implementation cost, and lost deals during competitive migrations off Autodesk, Sage, and Vista.</p><br><br><p><b>Intake flips that model</b>. Instead of asking customers to learn our data format, we use AI to learn theirs. Customers upload the file they already have, Procore figures out the mapping, the customer reviews and confirms, and the data comes in. We're building this as a reusable platform, not a one-off fix, starting with the company directory and expanding across every major Procore data surface.</p><br><br><p><b>Once Intake </b>is on a strong trajectory, you will expand into owning the&nbsp;AI support experience: the in-app, AI-powered help that lets customers resolve issues without waiting on a human agent. The goal is direct: reduce Procore's cost to serve while making in-product support faster and better for the customer.</p><br><br><br><p>This position reports to a <b>Group Product Manager, Engagement and Adoption</b> and will be based in our <b>Cairo, Egypt</b> office. In this role, you will be supported by a dedicated, engineering and design team to execute on the vision. We’re looking for someone to join us immediately.</p><br><br><br><br> <b>What you’ll do: </b> <br> <ul> <li><p>Own Procore Intake end to end. <b>Drive the strategy, roadmap, and execution for an AI-assisted data onboarding platform that scales across 20+ import surfaces</b>. Start with the directory MVP (users and vendors), prove the full workflow, then expand into project execution, financial workflows, and direct integrations with the systems customers are migrating away from. </p><br><br></li> <li><p>Build AI-native, not AI-flavored. Partner with our AI and data teams to deliver intelligent column mapping, confidence scoring, and a mapping library that gets smarter every time a customer uses it. The bar is reducing real customer effort, not adding AI for its own sake. </p><br><br></li> <li><p>Expand into the AI support experience. Take ownership of in-app, AI-powered support. Reduce dependence on human-led support by designing experiences that resolve customer issues in the product, and measure the impact on both cost to serve and customer satisfaction. </p><br><br></li> <li><p>Drive self-service and automation. Replace human-dependent onboarding and support workflows with product-led ones. Every flow should move a customer from stuck to productive without a meeting. </p><br><br></li> <li><p>Be relentlessly customer-centric. Ground every decision in real signal: customer interviews, support case data, product telemetry, and sales calls. We have tens of thousands of support cases and feature requests pointing at these problems. Your job is to turn that evidence into the right product. </p><br><br></li> <li><p>Measure what matters. Establish and own the metrics that prove impact: time to first successful import, import success rate, self-serve rate, support case deflection, cost to serve, and time from contract to first value. </p><br><br></li> <li><p>Think in platforms. <b>Build solutions that any Procore product team can adopt rather than rebuild</b>. The hard parts (file staging, AI mapping, orchestration, error recovery) should be solved once and reused everywhere. </p><br><br></li> <li><p>Collaborate across the company. Work closely with engineering, design, data science, customer success, professional services, and partner teams to ship solutions that align with Procore's broader product and business goals. </p><br><br></li> <li><p>Experiment and iterate. Run a tight build-measure-learn loop to test hypotheses and refine both the onboarding and support experiences toward measurable outcomes. </p><br><br></li> </ul> <br><br><b>What we’re looking for:</b><br><ul> <li><p>8+ years of product management experience, preferably within SaaS, B2B, or enterprise software environments.</p><br><br></li> <li><p>Proven track record of shipping product-led growth or self-service experiences that measurably reduce time to value or cost to serve.</p><br><br></li> <li><p>Hands-on <b>experience building and launching AI or ML-powered product features</b>, with a clear understanding of practical AI application.</p><br><br></li> <li><p>Strong data-driven mindset with documented expertise in user analytics, product experimentation, and cohort analysis.</p><br><br></li> <li><p>Deep platform thinking capabilities, with a history of building scalable solutions that apply across multiple products and use cases.</p><br><br></li> <li><p>Technical comfort <b>navigating data-heavy problems, including file formats, data mapping, migrations, and complex integrations.</b></p><br><br></li> <li><p>Exceptional collaborative skills gained from partnering closely with engineering and design teams in fast-paced agile environments.</p><br><br></li> <li><p>Outstanding communication skills and stakeholder management experience, with the ability to influence and drive cross-functional alignment.</p><br><br></li> <li><p><i>Bonus:</i> Experience in construction technology, building AI-powered customer support tools, or migrating enterprise customers off legacy systems.</p><br><br></li> </ul><br><br><br> </div>

About Us<br><br>Base360.ai is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot.<br><br>Born out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai is now launching as a standalone platform for short-term rental operators worldwide.<br><br>We bring reservations, guest communication, pricing, payments, cleaning, maintenance, and reporting into one platform—helping operators automate manual work, reduce costs, increase revenue, and scale their portfolios.<br><br>We're looking for an ambitious Product Engineer who wants to turn real customer problems into intuitive, reliable software. You'll work closely with founders, designers, and operators to identify what matters, build solutions, and improve them based on how people use them.<br><br>If you enjoy owning the full journey from customer problem to shipped product—and you're excited by AI, automation, and short-term rentals—we want to meet you.<br><br>What You'll Build<br><br>As a Product Engineer, you'll help shape and scale Base360.ai across the entire short-term rental lifecycle.<br><br>You'll build customer-facing features, operational dashboards, automation engines, AI-powered workflows, and integrations that help property managers grow without increasing their workload at the same rate.<br><br>Your work will connect what users see with the systems behind it—from a guest’s check-in experience to the workflows coordinating reservations, cleaning, payments, and owner reporting.<br><br>Your Mission<br><br>Understand Customer Problems<br><br>Work directly with property managers and internal teams to understand their workflows, identify friction, and decide which problems are worth solving.<br><br>Build Products End-to-End<br><br>Take features from idea and prototype through frontend, backend, integrations, testing, and deployment. Own the complete experience and how it performs in production.<br><br>Create Intuitive User Experiences<br><br>Work with designers to make complex short-term rental operations easy to manage. Build interfaces that help users complete tasks quickly and confidently.<br><br>Create Powerful Automations<br><br>Build event-driven workflows that eliminate repetitive work—from scheduling cleaning after a booking to sending check-in instructions and generating owner statements.<br><br>Develop AI-Powered Features<br><br>Use LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions, and help operators manage their portfolios more efficiently.<br><br>Connect the Ecosystem<br><br>Build reliable APIs and integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, Open AI, Google, and other partners across the short-term rental ecosystem.<br><br>Solve Real Operational Problems<br><br>Build Solutions For<br><br>Real-time reservation and availability synchronization Dynamic pricing intelligence Smart lock access and key management Automated guest communication across channels Guest check-in and upsell journeys Operational forecasting Cleaning and maintenance automation Owner reporting and financial workflows AI-powered monitoring and alerts<br><br>Measure and Improve<br><br>Use customer feedback, product usage, and operational results to evaluate what you ship. Improve features based on adoption, time saved, fewer errors, and better user outcomes.<br><br>Build for Scale<br><br>Make sound technical decisions that balance delivery speed, maintainability, security, and reliability as more operators and properties join the platform.<br><br>Tech Stack<br><br>We care more about capability than specific technologies, but our current stack includes:<br><br>Python Fast APIReact Type Script Supabase Postgre SQLAWSServerless architecture Open AI APIsTwilio Stripe Docker Git Hub Actions<br><br>You Might Be a Great Fit If You Have<br><br>Strong experience building and shipping production software The ability to work across frontend and backend systems Experience with React, Type Script, Python, Fast API, or similar technologies Strong understanding of APIs, databases, integrations, and cloud architecture A product mindset and curiosity about why users need a feature Good judgment around usability, scope, and technical trade-offs The ability to turn an ambiguous problem into a practical, working solution Confidence working directly with customers, designers, and founders The ability to work independently and own outcomes Curiosity about AI, automation, and operational efficiency A bias toward shipping, learning, and iterating<br><br>Bonus Points For Experience With<br><br>Short-term rentals, hospitality technology, or property management systems Multi-tenant Saa S platforms Marketplace businesses and booking channel integrations AI agents and workflow automation Product analytics and experimentation Event-driven architectures Supabase AWS serverless infrastructure<br><br>What Success Looks Like<br><br>Within Your First 12 Months<br><br>You've shipped features that property managers actively use Core short-term rental workflows are automated through products you've built Customers spend less time on manual administration and repetitive tasks Complex workflows become easier to understand and complete Integrations move reservations, availability, payments, and operational data reliably AI-powered features become part of customers’ everyday operations Customer feedback and usage data consistently inform your product decisions Your work helps operators grow their portfolios, improve guest experiences, and operate more profitably<br><br>Why Join Us<br><br>Build Something Meaningful<br><br>Solve problems experienced daily by short-term rental operators, with direct access to The Flex’s operations to test ideas and see their impact.<br><br>Own the Product Outcome<br><br>Help decide what to build, how it should work, and how to measure its success. Take responsibility for features from the first conversation through ongoing improvement.<br><br>Small Team, Massive Opportunity<br><br>Work closely with the founders and directly influence the product and technical direction of Base360.ai.<br><br>Learn Faster<br><br>Solve real-world challenges across product, software, AI, automation, hospitality operations, and scale.<br><br>Performance-Based Rewards<br><br>Competitive compensation with substantial upside for exceptional performers.<br><br>Remote-First<br><br>Work from anywhere. We care about outcomes, not hours.<br><br>This Role Is Not For You If<br><br>You're looking for a slow-paced corporate environment You want a narrowly defined role with limited customer or product involvement You need detailed specifications before you can make progress You avoid ownership and accountability You consider a feature finished without checking whether it solves the user’s problem<br><br>We're looking for someone who wants to help build the AI operating system for the short-term rental industry.

About Us<br><br>Base360.ai is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot.<br><br>Born out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai is now launching as a standalone platform for short-term rental operators worldwide.<br><br>We bring reservations, guest communication, pricing, payments, cleaning, maintenance, and reporting into one platform—helping operators automate manual work, reduce costs, increase revenue, and scale their portfolios.<br><br>We're looking for an ambitious Product Engineer who wants to turn real customer problems into intuitive, reliable software. You'll work closely with founders, designers, and operators to identify what matters, build solutions, and improve them based on how people use them.<br><br>If you enjoy owning the full journey from customer problem to shipped product—and you're excited by AI, automation, and short-term rentals—we want to meet you.<br><br>What You'll Build<br><br>As a Product Engineer, you'll help shape and scale Base360.ai across the entire short-term rental lifecycle.<br><br>You'll build customer-facing features, operational dashboards, automation engines, AI-powered workflows, and integrations that help property managers grow without increasing their workload at the same rate.<br><br>Your work will connect what users see with the systems behind it—from a guest’s check-in experience to the workflows coordinating reservations, cleaning, payments, and owner reporting.<br><br>Your Mission<br><br>Understand Customer Problems<br><br>Work directly with property managers and internal teams to understand their workflows, identify friction, and decide which problems are worth solving.<br><br>Build Products End-to-End<br><br>Take features from idea and prototype through frontend, backend, integrations, testing, and deployment. Own the complete experience and how it performs in production.<br><br>Create Intuitive User Experiences<br><br>Work with designers to make complex short-term rental operations easy to manage. Build interfaces that help users complete tasks quickly and confidently.<br><br>Create Powerful Automations<br><br>Build event-driven workflows that eliminate repetitive work—from scheduling cleaning after a booking to sending check-in instructions and generating owner statements.<br><br>Develop AI-Powered Features<br><br>Use LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions, and help operators manage their portfolios more efficiently.<br><br>Connect the Ecosystem<br><br>Build reliable APIs and integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, Open AI, Google, and other partners across the short-term rental ecosystem.<br><br>Solve Real Operational Problems<br><br>Build Solutions For<br><br>Real-time reservation and availability synchronization Dynamic pricing intelligence Smart lock access and key management Automated guest communication across channels Guest check-in and upsell journeys Operational forecasting Cleaning and maintenance automation Owner reporting and financial workflows AI-powered monitoring and alerts<br><br>Measure and Improve<br><br>Use customer feedback, product usage, and operational results to evaluate what you ship. Improve features based on adoption, time saved, fewer errors, and better user outcomes.<br><br>Build for Scale<br><br>Make sound technical decisions that balance delivery speed, maintainability, security, and reliability as more operators and properties join the platform.<br><br>Tech Stack<br><br>We care more about capability than specific technologies, but our current stack includes:<br><br>Python Fast APIReact Type Script Supabase Postgre SQLAWSServerless architecture Open AI APIsTwilio Stripe Docker Git Hub Actions<br><br>You Might Be a Great Fit If You Have<br><br>Strong experience building and shipping production software The ability to work across frontend and backend systems Experience with React, Type Script, Python, Fast API, or similar technologies Strong understanding of APIs, databases, integrations, and cloud architecture A product mindset and curiosity about why users need a feature Good judgment around usability, scope, and technical trade-offs The ability to turn an ambiguous problem into a practical, working solution Confidence working directly with customers, designers, and founders The ability to work independently and own outcomes Curiosity about AI, automation, and operational efficiency A bias toward shipping, learning, and iterating<br><br>Bonus Points For Experience With<br><br>Short-term rentals, hospitality technology, or property management systems Multi-tenant Saa S platforms Marketplace businesses and booking channel integrations AI agents and workflow automation Product analytics and experimentation Event-driven architectures Supabase AWS serverless infrastructure<br><br>What Success Looks Like<br><br>Within Your First 12 Months<br><br>You've shipped features that property managers actively use Core short-term rental workflows are automated through products you've built Customers spend less time on manual administration and repetitive tasks Complex workflows become easier to understand and complete Integrations move reservations, availability, payments, and operational data reliably AI-powered features become part of customers’ everyday operations Customer feedback and usage data consistently inform your product decisions Your work helps operators grow their portfolios, improve guest experiences, and operate more profitably<br><br>Why Join Us<br><br>Build Something Meaningful<br><br>Solve problems experienced daily by short-term rental operators, with direct access to The Flex’s operations to test ideas and see their impact.<br><br>Own the Product Outcome<br><br>Help decide what to build, how it should work, and how to measure its success. Take responsibility for features from the first conversation through ongoing improvement.<br><br>Small Team, Massive Opportunity<br><br>Work closely with the founders and directly influence the product and technical direction of Base360.ai.<br><br>Learn Faster<br><br>Solve real-world challenges across product, software, AI, automation, hospitality operations, and scale.<br><br>Performance-Based Rewards<br><br>Competitive compensation with substantial upside for exceptional performers.<br><br>Remote-First<br><br>Work from anywhere. We care about outcomes, not hours.<br><br>This Role Is Not For You If<br><br>You're looking for a slow-paced corporate environment You want a narrowly defined role with limited customer or product involvement You need detailed specifications before you can make progress You avoid ownership and accountability You consider a feature finished without checking whether it solves the user’s problem<br><br>We're looking for someone who wants to help build the AI operating system for the short-term rental industry.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Job Purpose<br></span></p><br> <p><span>As an Application Security Engineer at Luciq, you will help shape and build our application security program alongside the wider team. This is a hands-on, high-ownership role where you will work closely with product and development teams across the full software development lifecycle — reviewing designs before code is written, identifying risks as features take shape, and ensuring security is embedded into how we build and ship software, not bolted on after the fact. Our stack runs on Ruby on Rails, Go, and Python, deployed on AWS with Terraform managing infrastructure as code and Jenkins powering CI/CD. You will read and review code in these languages — not just rely on scanner output — and work with AWS security services (SecurityHub, Inspector, GuardDuty, CloudTrail, CloudFront) to provide visibility and protection across our infrastructure. The role spans web applications, APIs, our mobile SDK (iOS and Android), cloud, and CI/CD — partnering with engineers, PMs, Platform, and the Security team to make the secure path the default path. This role can be filled at mid-level with a clear growth path to senior-level as you grow into shaping our application security program, or at senior-level if you're already operating at that scope.</span></p><br> <p><span>You will join a lean Security team, which entails stepping beyond core AppSec for incident triage, addressing customer security questionnaires, or supporting cross-functional cloud and compliance reviews. We value this variety as a core facet of the role; if you are seeking hyper-specialized work restricted strictly to application security, this may not be the right fit.</span></p><br> <p><span>Job Responsibilities</span></p><br> <ul> <li><span>Secure Design &amp; Code Review</span></li> </ul> <ul> <li> <ul> <li><span>Run and lead threat modeling sessions with product and engineering teams during feature design. This is a hands-on role with expectations to deliver fixes in the product as needed while enabling other engineers.</span></li> <li><span>Conduct security code reviews and architecture reviews across web applications, APIs, and services in Ruby, Go, and Python</span></li> <li><span>Leverage AI and make sure that we enable engineers to adhere to security acceptance criteria. Provide guidance to engineers on secure design as we iterate and build the product.</span></li> </ul> </li> </ul> <ul> <li><span>Vulnerability Management</span></li> </ul> <ul> <li> <ul> <li><span>Validate, triage, and drive remediation of vulnerabilities — partner with engineering teams across the full lifecycle from discovery through SLA support</span></li> <li><span>Coordinate with engineering teams on fix verification and root-cause prevention</span></li> </ul> </li> </ul> <ul> <li><span>Security Automation in CI/CD</span></li> </ul> <ul> <li> <ul> <li><span>Build and maintain automated security testing in CI/CD — SAST, SCA, secret scanning</span></li> <li><span>Tune tooling for signal over noise; integrate findings into developer workflows</span></li> <li><span>Operate secret-scanning and leaked-credential response workflows</span></li> </ul> </li> </ul> <ul> <li><span>Cloud &amp; Infrastructure Security</span></li> </ul> <ul> <li> <ul> <li><span>Support cloud security reviews — IAM policies, network segmentation, container/Kubernetes configurations, and Terraform policy-as-code</span></li> <li><span>Work with AWS security services (SecurityHub, Inspector, GuardDuty, CloudTrail, CloudFront) to maintain visibility and detection across our infrastructure</span></li> </ul> </li> </ul> <ul> <li><span>Supply Chain &amp; Build Security</span></li> </ul> <ul> <li> <ul> <li><span>Own dependency risk via SCA, lockfiles, and pinning</span></li> <li><span>Drive CI/CD pipeline hardening — build runners, OIDC-to-cloud, artifact signing, SBOM standards</span></li> </ul> </li> </ul> <ul> <li><span>Cross-functional Security Enablement</span></li> </ul> <ul> <li> <ul> <li><span>Develop secure coding guidelines and reusable patterns that make the secure path the default</span></li> <li><span>Drive S-SDLC adoption across engineering teams</span></li> <li><span>Review security posture of our mobile SDK across iOS and Android — data handling, transport security, local storage, IPC, encryption, third-party dependency risk, and SDK consumer-facing security defaults</span></li> <li><span>Assess security risks in AI/LLM integrations — prompt injection, insecure output handling, trust boundaries in agentic architectures</span></li> <li><span>Support compliance initiatives (SOC 2, ISO 27001) — translate control requirements into engineering practices and assist with audit evidence collection</span></li> <li><span>Use AI tooling actively in your own workflow AI-assisted code review, threat modeling drafts, vulnerability research, and security artifact generation&nbsp; and help shape how the rest of engineering uses AI safely</span></li> </ul> </li> </ul> <p><span>Job Requirements</span></p><br> <p><span>Must-Haves</span></p><br> <ul> <li><span>Experience</span><span>: 3-6 years in application security, or security engineering</span></li> <li><span>Education</span><span>: Bachelor's degree in Computer Science, Information Security, or equivalent practical experience</span></li> <li><span>Secure code review</span><span>in at least one of: Python, Ruby, Go — can read code and reason about vulnerabilities, not rely on scanner output</span></li> <li><span>OWASP Top 10 (Web and API)</span><span>as root-cause patterns, not a memorized checklist — including SSRF, insecure deserialization, injection classes, and access-control flaws</span></li> <li><span>Threat modeling</span><span>: practical experience with STRIDE and data flow diagrams; can lead a session with a product team and produce actionable output</span></li> <li><span>Auth and identity</span><span>: working depth in session management, RBAC/ABAC models</span></li> <li><span>CI/CD security automation</span><span>: hands-on experience integrating SAST, SCA, and secret scanning into pipelines and tuning for actionable signal</span></li> <li><span>Proactive and ownership-driven</span><span>— does not wait to be told what to secure</span></li> <li><span>Comfortable working</span><span>cross-functionally</span><span>with product engineers, platform engineers, and the wider team</span></li> <li><span>Strong</span><span>analytical and problem-solving</span><span>abilities</span></li> <li><span>Fluent in</span><span>English</span><span>, with strong written and verbal communication</span><br></li> <li><span>Communication</span><span>: clear written and verbal communication can explain a vulnerability to an engineer, a PM, or a VP<br></span></li> </ul> <p><span>Strong Plus</span></p><br> <p><span>We expect strong candidates to have</span><span>some</span><span>of these not all. The more, the better.</span></p><br> <ul> <li><span>Mobile SDK security</span><span>: OWASP Mobile Top 10 and MASVS/MASTG; Android (Kotlin) or iOS (Swift); experience with Frida, objection, or MobSF</span></li> <li><span>AWS security service depth</span><span>: SecurityHub, Inspector, GuardDuty, CloudTrail, CloudFront beyond IAM</span></li> <li><span>Container and Kubernetes</span><span>security fundamentals</span></li> <li><span>Supply chain depth</span><span>: SLSA framework, SBOM</span><span>AI/LLM security</span><span>: prompt injection mitigations, OWASP LLM Top 10, securing agentic architectures and tool-use boundaries</span></li> <li><span>Familiarity with</span><span>ISO 27001 or SOC 2</span><span>.<br></span></li> </ul> <p><span>Nice to Have</span></p><br> <ul> <li><span>Terraform and policy-as-code: tfsec, Checkov, OPA/Conftest</span></li> <li><span>Experience building or bootstrapping a security program</span></li> <li><span>Bug bounty participation, published CVEs, or documented security research</span></li> <li><span>Hands-on certifications: OSCP, OSWE, eMAPT</span></li> <li><span>Incident response experience — triage, containment, root-cause analysis</span></li> <li><span>Red teaming or purple teaming experience</span></li> </ul> </div>

‎York Towers is the development arm of the York Holding Group. Through continuous research and the ability to predict emerging trends, the company keeps an edge over the market. Playing a leading role in driving the successful development and diversification of one of the most vital economic sectors, York Towers is committed to creating residential products across the country that provide residents with distinctive, universal, multicultural, and enriching lifestyles. York Towers is the exclusive developer of luxury real estate worldwide. The company aims to become a leading real estate player through an efficient business model and advanced technologies used for designing and construction. Since its establishment in 2016, York Towers has delivered 20 real estate properties and runs six dynamic projects. York Towers operates eight offices in five countries across three continents. ‎About the role Dwelleo is building an intelligent real-estate marketplace: listings and search at the core, with a layer of AI on top — LLM-driven sales agents that qualify and call leads, financing intelligence on the mortgage calculator, and market-insight models for price prediction and investment scoring. You'll work across the whole stack, from the Next.js front end through our PHP/Laravel services, plus a standalone Nest JS application, backed by a containerized, queue-driven infrastructure. This is a hands-on senior role. You'll own features end to end, make architectural calls, and set the quality bar for engineers around you. Because we operate in the Gulf, correctness around regulatory and data-protection boundaries (PDPL, SAMA lending rules) is a first-class engineering concern, not an afterthought. About our stack The core platform is built on PHP/Laravel in a microservices setup, with a Next.js/React front end (bilingual Arabic/English, full RTL support). Alongside it we run a smaller standalone full-stack application built on Nest JS with server-side Handlebars templating. Data lives across MySQL and Postgre SQL, with Redis for caching and Rabbit MQ for queue and async job management. Services run in Docker containers deployed through CI/CD pipelines. AI capabilities are delivered through Open AI/LLM integrations and a Retell-based outbound calling agent, with Odoo and BITEP as our CRM/lead systems. Responsibilities Full-stack feature delivery Design, build, and ship features across the stack — Next.js front end, PHP/Laravel services, and a standalone Nest JS/Handlebars application — owning them from spec to production. Translate product and business requirements (user stories, acceptance criteria) into well-architected, testable implementations. Build responsive, accessible, bilingual (English/Arabic) interfaces with correct RTL behavior.<br><br>Backend & services architecture Develop and maintain PHP/Laravel services in a microservices architecture, including proxy/trust-boundary layers that handle auth, caching, and data-protection filtering before persistence. Build and maintain a standalone Nest JS full-stack application with server-rendered Handlebars views. Build stateless, idempotent services with clean separation between pure business/domain logic and framework/I-O layers. Design and operate asynchronous, event-driven workflows using Rabbit MQ — producers, consumers, retries, dead-letter handling, and idempotent processing. Design robust API contracts, consistent response envelopes, and graceful degradation so intelligence features never block core listing CRUD or page render.<br><br>Data layer Model, query, and optimize relational schemas across MySQL and Postgre SQL; manage migrations, indexing, and query performance. Use Redis effectively for caching, rate limiting, and hot-path performance. Handle effective-dated, versioned configuration rather than hardcoded constants.<br><br>Infrastructure, Dev Ops & reliability Containerize services with Docker and maintain reproducible local and deployed environments. Build and maintain CI/CD pipelines (build, lint, test, deploy) with fast, reliable feedback. Own production observability — structured logging with request/lead/call correlation, metrics, alerting — and graceful fallback paths.<br><br>AI / Intelligence integration Integrate LLM capabilities (Open AI/Chat GPT API) and third-party AI services (e.g. Retell voice agents) behind provider-agnostic interfaces so vendors can be swapped via config. Build the reliability guards that make automated loops safe in production: concurrency control, retries, idempotency, webhook verification, kill switches, and observability.<br><br>Integrations & compliance Integrate with CRM and lead systems (Odoo) and outbound calling providers (Voiso, Retell). Enforce data-protection boundaries (PDPL): keep sensitive fields (income, national ID, DOB, exact obligations) transient, persist only derived bands/brackets, and stamp consent/filter versions on persisted artifacts. Implement domain logic that respects regulatory rules (e.g. SAMA DBR/LTV caps) and market conventions (Sharia-compliant "profit rate" framing over "interest").<br><br>Quality & collaboration Write meaningful tests (unit, contract, edge-case) and hold a high bar on core logic and code quality. Review PRs against architectural contracts and mentor mid-level engineers. Work closely with the Architect, product, and other engineers; contribute to technical specs and sequencing, break large initiatives into parallelizable workstreams, and communicate trade-offs clearly.<br><br>Required qualifications5+ years of professional full-stack engineering experience, with production ownership of non-trivial systems. Strong PHP experience (Laravel) building production APIs and services. Node.js experience, ideally with Nest JS, including server-side rendering with a templating engine such as Handlebars. Strong Java Script/Type Script with Next.js and React for production front ends. Solid server-side / Dev Ops fundamentals: Docker and CI/CD pipelines. Strong relational database skills across MySQL and Postgre SQL — schema design, migrations, and query optimization. Hands-on experience with Redis for caching and Rabbit MQ (or a comparable message broker) for queue/async processing. Experience designing and consuming REST APIs, webhooks, and third-party integrations. A rigorous approach to testing, code quality, and production debugging.<br><br>Nice to have Experience integrating LLMs / the Open AI API into production products. Experience with voice/telephony or conversational AI providers (e.g. Retell, Vapi, Twilio). Experience with cloud platforms (AWS/GCP/Azure) and container orchestration (Kubernetes). Experience building bilingual/RTL (Arabic) interfaces or i18n at scale. Exposure to regulated domains — fintech, lending, real estate — and data-protection regimes (PDPL/GDPR). Familiarity with CRM/ERP integrations (Odoo) and lead pipelines. Prior experience in proptech, marketplaces, or the MENA/Gulf market.<br><br>What we look for Someone who takes ownership end to end, cares about correctness where it matters (money, compliance, user data), writes code others can build on, and moves pragmatically without cutting the corners that bite later.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><em><strong>This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.</strong></em></p><br><strong>Why this role exists</strong><p>Every pod engagement we sell is sold against a document: the 90-day technical roadmap — validated opportunities inside the client’s business, sized, sequenced, and mapped to the three-person team that will build them. That document has to survive three audiences with conflicting incentives: a client executive who must want to buy it, an internal margin-and-feasibility review that rejects anything low-margin or unbuildable, and a delivery team that will live inside it for ninety days. Today one of our founders writes those roadmaps. You take that over.</p><br><p>You are the technical half of the sales motion. During the paid Leadership Intensive, you are the facilitator’s technical counterpart: you go inside the client’s systems and data while they run the room, and you make five executives’ live first builds actually work. Then you go away and produce the roadmap that converts a paid diagnostic engagement into a monthly embedded pod. You are pre-sales in the sense that you work before the pod contract — but everything you produce is a delivery commitment someone else must keep, and you are measured on whether they can.</p><br><strong>What you will own</strong><strong>1. Technical discovery inside client environments</strong><ul><li><p>Map an unfamiliar mid-market stack fast: CRM, ERP, finance tools, home-grown spreadsheets, the undocumented automation graveyard — in days, with limited access, without breaking anything or spooking IT.</p><br></li><li><p>Run the deep-dive protocol during the Intensive’s first session: while the facilitator drives the executives, you drive the systems — screen-share walkthroughs, data-structure probing, integration surface mapping. You are listening for what is automatable, what data actually exists (versus what they claim exists), and where the political landmines are.</p><br></li><li><p>Own the data-collection instruments: the interview guide, the screen-share protocol, the process inventory. A dozen interviews with the people who do the work happen inside every Intensive; you design what gets asked and you synthesize what comes back.</p><br></li><li><p>Operate safely in regulated or sensitive contexts: know when to demand a de-identified export or a synthetic dataset instead of production access, and never let enthusiasm outrun the client’s data rules.</p><br></li></ul><strong>2. The live build sessions — making executives ship</strong><ul><li><p>Pre-build the scaffolding: before the hands-on session, you prepare each executive’s use case so that a non-technical leader can get a clickable first version working in under an hour — data samples loaded, tools configured, the failure modes pre-empted.</p><br></li><li><p>Rescue in real time: something always breaks with five simultaneous first-time builders. You debug live, quietly, without ever making the executive feel stupid — the room’s belief is the product.</p><br></li><li><p>Calibrate honestly in the demos: when an executive’s build is a toy, you frame precisely what the gap to real is — because that gap is what the roadmap sells, and overselling it is a delivery debt with an engineer’s name on it.</p><br></li></ul><strong>3. The 90-day technical roadmap — your flagship artifact</strong><ul><li><p>Author it end to end: from the Intensive’s findings, produce the roadmap — the chosen outcomes (drawing on our catalog of proven, deliverable outcome patterns), honest effort sizing, sequencing across the ninety days, data prerequisites, and the team composition that delivers it.</p><br></li><li><p>Design to the delivery model: every roadmap must respect our standard structure — roughly half the team’s hours go to the foundation layer we build for every client, half to this client’s specific outcomes. A roadmap that needs 80% custom work is a rebuild, not a plan.</p><br></li><li><p>Consult the delivery engineers on buildability before anything is presented: they will live inside your plan; their veto on feasibility is real.</p><br></li><li><p>Pass the internal review: every roadmap goes through a feasibility-and-margin gate. Your scoping honesty is the whole game — a roadmap that closes the deal and blows the margin is a failure with a delay on it.</p><br></li><li><p>Arm the presentation: you do not present the roadmap to the client (the facilitator and delivery engineer do), so it must sell without you in the room — written clearly enough that a US executive reads it and sees their business, not our template.</p><br></li></ul><strong>4. Prototypes, the library, and the diagnosis system</strong><ul><li><p>Build fast proofs-of-concept on client data when a working demo will close a gap that a slide cannot — typically hours of work, not days, using AI tooling aggressively.</p><br></li><li><p>Maintain the opportunity library: every engagement teaches us new reusable patterns (symptom → opportunity → typical build → typical effort). You keep that library current so diagnoses and roadmaps get faster and more consistent every month.</p><br></li><li><p>Feed the diagnosis system: the AI system that drafts our free diagnoses runs on schemas and knowledge you help maintain. When it gets a client’s stack wrong, you are one of the people who fixes why.</p><br></li><li><p>Support engineering hiring: observe and co-score live technical assessments; your read on "can this person scope?" shapes who joins the delivery bench.</p><br></li></ul><strong>What a typical week looks like</strong><p>Two Intensive sessions supported live (a deep dive on one account, a build session on another), a half-day of preparation per session, one roadmap in active authorship and one in internal review, a prototype sprint of a few hours where a demo is worth more than a document, the weekly feasibility review, and an hour folding what you learned into the opportunity library. Roughly half your calendar is client-facing or preparing to be; the other half is authorship and system-building. Deadlines cluster: a roadmap is due roughly ten days after every Intensive ends, and Intensives overlap.</p><br><strong>What you must bring </strong><ul><li><p><strong>Client-facing engineering: </strong>4+ years as a solutions engineer, sales engineer, technical consultant, or full-stack engineer in roles where you regularly sat with non-technical clients — discovery, demos, workshops — and where deals or projects turned on your credibility. Pure back-office engineering, however strong, does not prepare you for a room of executives watching you type.</p><br></li><li><p><strong>Hands-on AI build depth: </strong>you have shipped real things with LLM APIs, agent frameworks, retrieval pipelines, and workflow automation — and you can show them. Public GitHub repos or live products are strongly preferred and will be reviewed commit by commit. You know when a given approach is wrong, when an agent is over-engineering, and when the answer is a spreadsheet formula and an honest conversation.</p><br></li><li><p><strong>Stack archaeology: </strong>demonstrated ability to walk into an unfamiliar business systems landscape and map it in days — you can read a CRM schema, reverse-engineer a spreadsheet-driven process, and interrogate an API you have never seen. Mid-market messiness (a CRM, an accounting tool, and forty Google Sheets) should feel like home terrain, not a horror story.</p><br></li><li><p><strong>Estimation honesty: </strong>a track record of scoping work that came in roughly as promised, and at least one story of a scope you refused or cut down — with what it cost you socially and why you did it anyway. We will ask for exactly this story.</p><br></li><li><p><strong>Writing that sells without you: </strong>your roadmaps are read by executives when you are not there. You write clearly, concretely, and in the client’s vocabulary — we will read something you wrote for a non-technical audience.</p><br></li><li><p><strong>English: </strong>full professional fluency, spoken and written. You run screen-shares and interviews with US teams; an accent is fine, unclear is not.</p><br></li></ul><strong>Strong pluses</strong><ul><li><p>Prior pre-sales at a services firm, dev shop, or systems integrator where you scoped fixed-price or outcome-based work — you have felt the pain of your own bad estimate being delivered.</p><br></li><li><p>Data engineering fluency: pipelines, warehouses, dashboards — the executive command-center is one of our most-requested outcomes.</p><br></li><li><p>Experience with the executive-facing side of security and compliance: answering "where does our data go?" precisely, working under data processing agreements, handling regulated-data engagements with synthetic data.</p><br></li><li><p>You have taught or mentored: internal enablement, bootcamps, or conference workshops — the Intensive is half classroom.</p><br></li><li><p>Spanish or Portuguese for internal collaboration.</p><br></li></ul><strong>This is not for you if</strong><ul><li><p>You want to build all day. This role is half authorship, facilitation, and judgment; the building you do is fast, disposable, and in service of a document.</p><br></li><li><p>You estimate optimistically to keep rooms happy. Every number you write becomes someone else’s ninety days.</p><br></li><li><p>You need clean, well-documented systems to be effective. Our clients’ stacks are duct tape; that is precisely why they pay us.</p><br></li><li><p>You are uncomfortable with commercial context — knowing the margin math, shaping scope to protect it, and treating a low-margin plan as a defect rather than someone else’s problem.</p><br></li></ul><strong>How We Will Measure You</strong><p>Your performance will be measured through a combination of quality, conversion, delivery accuracy, reliability, and continuous improvement:</p><br><ul><li><p><strong>Review Pass Rate:</strong> At least 80% of roadmaps should clear the internal feasibility and margin review on the first pass. Bounces indicate rework and potential deal delays.</p><br></li><li><p><strong>Roadmap Close Rate:</strong> At least 50% of presented roadmaps should convert into signed pod engagements, jointly with the presenting team. Your roadmap should give the team the clarity and ammunition needed to close the opportunity.</p><br></li><li><p><strong>Delivery Fidelity:</strong> Pods should achieve the outcomes scoped within ±20% of the effort estimated in the roadmap. This is the defining metric for the role and will be tracked per roadmap and reviewed quarterly.</p><br></li><li><p><strong>Session Reliability:</strong> Executive build sessions should be completed without an unrecovered technical stall. Recoveries are expected when issues arise; the goal is zero unrecovered stalls.</p><br></li><li><p><strong>Library Growth:</strong> Contribute reusable patterns, frameworks, and improvements to the diagnosis system on a monthly basis, with progress reflected in faster and more efficient roadmap turnaround over time.</p><br></li></ul><strong>Your first 90 days</strong><ul><li><p><strong>Days 1–30 — absorb: </strong>learn the outcome catalog, the opportunity library, the diagnosis system, and the delivery model (the core/custom split and the sub-three-week fast start) cold. Shadow a full Intensive; rebuild a past roadmap from its raw materials and defend it against the original in review.</p><br></li><li><p><strong>Days 31–60 — invert: </strong>support two Intensives live (you own the pre-builds and the rescues); author your first real roadmap with a founder reviewing; run your first client interview cycle solo.</p><br></li><li><p><strong>Days 61–90 — own: </strong>full ownership of the technical track on your accounts: discovery, build sessions, roadmap authorship through the internal review, with the delivery engineers consulted and no founder rewrite. Exit bar: a roadmap you authored has closed into a pod, and its first weeks of delivery are tracking your sizing.</p><br></li></ul><strong>Where this goes</strong><p>This business is planned to scale from its first pod to fifty within a year, and every pod starts life as a roadmap. The honest trajectory: first solutions engineer → owner of the solutioning standard and the internal review → lead of a solutions team, or a pivot into delivery leadership as the engagement-management layer builds out. The person who defines what a good roadmap is, this early, sets the delivery economics of the whole line.</p><br><p><strong>Scale Army</strong> is a staffing agency dedicated to connecting international talent with US-based companies. We cover a broad range of positions and industries, from customer support and sales roles to engineering and executive-level positions.</p><br><strong><u>Application Process:</u></strong>To be considered for this role these steps need to be followed:<ul><li><p>Fill in the application form</p><br></li><li><p>Record a video showcasing your skill sets</p><br></li></ul> </div>

Core Technology Stack AWS (5+ years) •EKS • ECS • Terraform• Istio •Datadog • Git Lab CI/CD (Advanced) •Argo CD • Serverless Framework• Node.js •Python • Temporal• Docker •Cloud Formation<br>Role Overview As a Senior Dev Ops Engineer, you will take a hands-on approach to the delivery and automation of our cloud infrastructure, supporting continuous integration and deployment. You will work closely with the Dev Ops Technical Lead and collaborate with software engineering teams to build, secure, and scale our platform. This is a financial services environment where security, compliance, and reliability are not optional. You will be expected to build and maintain infrastructure that meets SOC 2 Type II, PCI DSS, and GDPR as a basic requirement while keeping the developer experience fast and friction-free – partnering with engineering teams.<br>Responsibilities Infrastructure & Platform Design, build, and maintain cloud-native infrastructure on AWS that is secure, automated, scalable, and highly available. Own and evolve our Kubernetes platform (EKS) including cluster operations, upgrades, networking, and security hardening. Manage and operate ECS (Fargate and EC2 launch types) for containerised workloads, including task definitions, service scaling, and deployment strategies. Design and maintain advanced AWS networking: Transit Gateways for multi-VPC/multi-account connectivity, Site-to-Site VPN, AWS Client VPN, VPC peering, Direct Connect, Route 53 DNS resolution, and network segmentation across environments. Manage and advance our Istio service mesh for traffic management, m TLS enforcement, canary deployments, and observability across microservices. Provision, configure, and maintain all AWS infrastructure as code through Terraform, enforcing best practices around modules, state management, and drift detection. Maintain and extend Cloud Formation stacks where applicable, including nested stack architectures and cross-stack dependencies. Implement and manage Git Ops workflows using Argo CD for declarative, auditable Kubernetes deployments. Build and operate serverless workloads using the Serverless Framework for event-driven and API-backed services. Maintain and support the infrastructure around Temporal: cluster operations, namespace management, monitoring, scaling, and ensuring high availability for engineering teams building durable workflows.<br>Observability & Reliability Deploy and configure Datadog across the full stack: infrastructure metrics, APM (distributed tracing), log management, synthetic monitoring, and SLOs. Design tagging strategies and dashboard standards that give engineering teams self-service visibility into their services. Build meaningful alerting with low noise: composite monitors, anomaly detection, and error budget burn-rate alerts. Perform infrastructure cost analysis and optimization on an ongoing basis, including reserved capacity planning and right-sizing.<br>Security & Compliance Maintain infrastructure that satisfies SOC 2 Type II, PCI DSS, and GDPR compliance requirements. Implement and enforce encryption at rest and in transit across all services using AWS KMS customer-managed keys. Ensure comprehensive audit logging: Cloud Trail organization trails, application-level audit logs, EKS audit logs, and tamper-proof log retention. Enforce least-privilege IAM policies, SCPs across AWS Organizations, and secret management through AWS Secrets Manager or SSM Parameter Store. Maintain network segmentation and security controls for cardholder data environments in line with PCI DSS. Collaborate with the App Sec engineer on vulnerability management, secret scanning in CI, and compliance evidence collection for audits.<br>CI/CD & Developer Experience Own and architect advanced Git Lab CI/CD pipelines across all services: multi-stage, multi-environment pipelines with dynamic child pipelines, DAG dependencies, and rules-based execution. Enforce Principle of Least Privilege (POLP) across CI/CD: scoped CI/CD variables, protected environments, least-privilege runner tokens, per-job service accounts, and minimal container image permissions. Design and maintain .gitlab-ci.yml standards across the organisation: reusable includes, extends, component templates, and shared CI libraries to eliminate duplication and enforce consistency. Build and maintain deployment tooling for Node.js and Python services across containerized and serverless targets. Ensure pipeline compliance: MR-based approvals, signed artifacts, deployment gates, approval rules, and full traceability from ticket to production. Manage Git Lab Runner infrastructure: autoscaling runners on AWS (EC2/EKS), runner caching strategies, Docker-in-Docker vs Kaniko for container builds, and runner security hardening. Optimise pipeline performance: caching, artifacts, parallel jobs, resource groups, and pipeline analytics to keep feedback loops fast.<br>Collaboration & On-Call Work collaboratively with software engineering teams to define infrastructure, deployment, and operational requirements. Contribute to the evaluation of new technologies and vendor products that drive additional value across the stack. Share knowledge and mentor junior team members through code reviews, documentation, and pairing sessions. Translate non-technical business requirements into technical infrastructure requirements. Participate in an on-call rotation: respond to production incidents, perform root cause analysis, and drive post-incident improvements to prevent recurrence.<br>Required Skills & Experience Must Have (in priority order) Deep AWS expertise across core services: VPC, IAM, EKS, ECS (Fargate and EC2), Lambda, S3, RDS, KMS, Cloud Trail, Route 53, API Gateway, and Organizations. (5+ years) Advanced AWS networking: Transit Gateway architectures, Site-to-Site VPN, AWS Client VPN, VPC design and subnetting, DNS (Route 53 private/public hosted zones, Resolver endpoints), VPC peering, Direct Connect, Private Link, and load balancing (ALB/NLB). Production Kubernetes experience (EKS strongly preferred) including cluster operations, RBAC, networking, HPA, and troubleshooting. (3+ years) Hands-on Istio service mesh experience: traffic management, m TLS, Virtual Service/Destination Rule configuration, sidecar tuning, and debugging with istioctl.(3+ years) Advanced Terraform experience including modules, workspaces, state management, and CI-driven plan/apply workflows. (3+ years) Advanced Git Lab CI/CD expertise: excellent understanding of CI syntax (rules, needs, DAG, dynamic child pipelines, includes/extends, components), pipeline security (POLP, protected variables/environments, runner isolation), MR approval workflows, and runner infrastructure management. (4–5 years) Serverless Framework for deploying and managing Lambda-based workloads. Datadog implementation and operations: Agent deployment in Kubernetes, APM instrumentation, log pipelines, custom metrics, dashboards, monitors, and SLOs. Security and compliance mindset: practical experience with SOC 2, PCI DSS, or similar regulatory frameworks in a fintech or financial services environment. Node.js hands-on experience: comfortable reading, debugging, and writing Node.js code. Understanding of the runtime, LTS lifecycle, and packaging. Python scripting for automation: boto3, CLI tools, CI scripts, data processing. Comfortable with concurrency patterns and packaging. Argo CD for Git Ops-based Kubernetes deployments. Docker and container best practices: image optimization, multi-stage builds, vulnerability scanning.<br>Required Certifications AWS Certified Dev Ops Engineer — Professional AWS Certified Solutions Architect — Associate Hashi Corp Certified: Terraform Associate or Engineer<br>Nice to Have Temporal platform operations: cluster deployment, namespace configuration, visibility store tuning, and worker infrastructure. Cloud Formation including nested stacks, macros, and cross-stack references. Certified Kubernetes Security Specialist (CKS). Azure Active Directory and Microsoft 365 integration. Experience with JIRA and Confluence for project tracking and documentation. Familiarity with SIEM toolsets and cloud log management platforms beyond Datadog. Experience running SOC 2 Type II audit cycles end-to-end, including evidence collection from the Dev Ops side. Contributions to open-source infrastructure tooling.<br>What We Value Ownership: you see a problem, you fix it. You don't wait for a ticket. Pragmatism over perfection: ship secure, maintainable solutions, iterate later. Clear communication: you can explain a VPC design to a product manager and a compliance requirement to an engineer. Curiosity: the appetite to learn and evaluate a wide variety of open-source technologies and tools. Reliability: comfortable with on-call responsibilities and committed to keeping production healthy.

1. Review the mechanical installation of the panel and dimensions. 2. Ensure the required mechanical protection rating. 3. Verify the required copper dimensions according to the execution drawings. 4. Ensure the required mechanical subdivision is achieved. 5. Review electrical components according to the bill of materials and execution drawings. 6. Perform electrical tests and ensure safe operation. 7. Conduct the required tests according to standard specifications. 8. Prepare non-conformance reports in coordination with the direct supervisor. 9. Ensure implementation <p><strong>Additional details</strong></p><ul><li>Number of vacancies: 2</li><li>Shift system: mornings only</li><li>Benefits: health insurance, social insurance, transport allowance, meals</li></ul>

Job type: Assembly and installation of machines and production linesMain tasks: assembling and installing CNC machines according to technical drawingsAdjusting and calibrating mechanical parts to ensure operating accuracyUse measuring tools, gauges, and electrical toolsCollaborate with the electrical team in operation and testingRequired conditions: Diploma in Industrial Studies (Production Mechanics / General Mechanics) or equivalentCommitment and ability to work in a teamBenefits: competitive base salary + monthly production bonuses + organized work environment and opportunities for development and training + job security< p><strong>Additional details</strong></p><ul><li>Number of vacancies: 3</li><li>Shift system: morning only</li><li>Benefits: social insurance, overtime</li></ul>

Hospital Specialty Engineer (Electrical - Air Conditioning - some Mechanics - Civil) with at least 5 years of experience in hospital maintenance<p><strong>Additional details</strong></p><ul><li>Number of vacancies: 1</li><li>Shifts: Morning only</li></ul>

Conditions:✔️ Valid second-class professional license✔️ At least 3 years of driving experience✔️ Age not exceeding 45✔️ Resident of Helwan✔️ Adherence to traffic rules and safety✔️ Good conduct and compliance with instructions<p><strong>Additional details</strong></p><ul><li>Number of vacancies: 1</li><li>Shift system: Morning only</li><li>Driver's license: Second class</li><li>Benefits: Health insurance, social insurance, transportation allowance, overtime</li></ul>

<h2 ><span lang="ar" dir="rtl">اعلان الهيئة العامة لميناء دمياط عن وظيفة مدير إدارة التكريك</span></h2><h2 ><span lang="ar" dir="rtl">الغرض من الوظيفة:</span></h2><p ><span lang="ar" dir="rtl">متابعة تنفيذ أعمال التكريك بالميناء وبيان مدى مطابقتها للمنفذ الفعلي، والتأكد من جاهزية الممر الملاحي لتوفير العمق الآمن للسفن.</span></p><h2 ><span lang="ar" dir="rtl">أبرز المهام والمسؤوليات:</span></h2><ul><li><p ><span lang="ar" dir="rtl">المشاركة في وضع البرامج والسياسات التشغيلية في الخطة الاستراتيجية للهيئة، والعمل على تحقيقها ومتابعة تطبيقها.</span></p></li><li><p ><span lang="ar" dir="rtl">متابعة وتقييم أعمال الإدارة والعاملين، والتأكد من إنجازها وفقاً للبرامج والسياسات التفصيلية الموضوعة، بما يضمن الالتزام بكافة الأنظمة واللوائح والسياسات المعتمدة في الهيئة.</span></p></li><li><p ><span lang="ar" dir="rtl">تقديم المقترحات بشأن الاحتياجات من الموارد البشرية والتدريبية والمالية والمستلزمات الإدارية اللازمة لتنفيذ الأعمال والأنشطة المختلفة بالإدارة وضمان الاستخدام الأمثل لهذه الموارد.</span></p></li><li><p ><span lang="ar" dir="rtl">رفع التقارير الدورية المتعلقة بسير العمل في الإدارة للمستوى الأعلى بناءً على التوجيهات الصادرة أو على أساس مدة زمنية محددة.</span></p></li><li><p ><span lang="ar" dir="rtl">إعداد الخطة الزمنية اللازمة لعمليات التكريك بالميناء بصفة دورية، والتأكد من مدى مطابقتها للمنفذ الفعلي من أجل توفير العمق الآمن المطلوب للسفن وعدم التعرض للشحط.</span></p></li><li><p ><span lang="ar" dir="rtl">متابعة عمليات تعميق الممر الملاحي وتطهير حوض الميناء والتأكد من تنفيذ كافة أعمال التكريك.</span></p></li><li><p ><span lang="ar" dir="rtl">إعداد الدراسات الخاصة بحساب كمية الأطماء، ووضع أنسب الأساليب لعمليات تطهير أعماق المياه بالبوغاز وأمام الأرصفة للوصول إلى الأعماق التصميمية المعتمدة.</span></p></li><li><p ><span lang="ar" dir="rtl">المشاركة في اللجان الفنية الخاصة بالتكريك.</span></p></li><li><p ><span lang="ar" dir="rtl">متابعة الاتجاهات والتطورات الحديثة في مجال التكريك وتطهير الأعماق البحرية والعمل على تطبيقها للاستفادة منها في الهيئة.</span></p></li><li><p ><span lang="ar" dir="rtl">متابعة تأمين حركة السفن بالميناء من خلال توفير العمق الآمن المطلوب للسفن وإبلاغ هيئة السلامة البحرية بالأعماق التصميمية لإصدار منشور ملاحي معتمد للوضع الحالي للميناء.</span></p></li><li><p ><span lang="ar" dir="rtl">التأكد من إمداد برج الإرشاد وأطقم المرشدين بكافة الخرائط والمعلومات الخاصة بأعماق الممر الملاحي لضمان المرور الآمن للسفن، وكذلك أعماق حوض الدوران وأماكن الأطماء لضمان الرسو الآمن للسفن على الأرصفة.</span></p></li><li><p ><span lang="ar" dir="rtl">تنفيذ ما يسند إليه من أعمال أخرى ترتبط بطبيعة عمل الوظيفة.</span></p></li></ul><h2 ><span lang="ar" dir="rtl">الخبرات والجدارات:</span></h2><h3 ><span lang="ar" dir="rtl">المهارات:</span></h3><ul><li><p ><span lang="ar" dir="rtl">القدرة على استخدام الحاسب الآلي وتطبيقاته المختلفة.</span></p></li><li><p ><span lang="ar" dir="rtl">المعرفة الكافية بإحدى اللغات الأجنبية.</span></p></li></ul><h3 ><span lang="ar" dir="rtl">الجدارات:</span></h3><ul><li><p ><span lang="ar" dir="rtl">القدرة على وضع البرامج والخطط التنفيذية والإشراف على تنفيذها.</span></p></li><li><p ><span lang="ar" dir="rtl">القدرة على متابعة تنفيذ الأعمال بشكل يكفل تحقيق النتائج.</span></p></li><li><p ><span lang="ar" dir="rtl">امتلاك مستوى مناسب من مهارات الاتصال.</span></p></li><li><p ><span lang="ar" dir="rtl">القدرة على حل المشكلات واتخاذ القرارات.</span></p></li></ul><h2 ><span lang="ar" dir="rtl">سنوات الخبرة:</span></h2><p ><span lang="ar" dir="rtl">قضاء مدة بينية مقدارها <strong>عام على الأقل</strong> في وظيفة من المستوى الأدنى له مباشرةً الأول (ب)، وذلك للعاملين من داخل الجهاز الإداري للدولة، أو قضاء مدة كلية من خارج الجهاز الإداري للدولة مقدارها <strong>16 عاماً على الأقل</strong> تتفق مع طبيعة عمل الوظيفة.</span></p>

تنفيذ أعمال الصيانة الوقائية والدورية والصيانة التصحيحية لخطوط الفرز، والسيور الناقلة، وماكينات التعبئة والتغليف، ومضخات المرافق.<br><br>تشخيص الأعطال الميكانيكية بسرعة وتحديد الأسباب الجذرية لها، وتنفيذ الحلول المناسبة لتقليل فترات التوقف.<br><br>صيانة أنظمة سلسلة التبريد، بما في ذلك أبواب غرف التبريد السريعة، ووحدات التبريد (Evaporators)، ووحدات المراوح، ومنصات التحميل (Dock Levelers).<br><br>تنفيذ جميع أعمال الصيانة وفقًا لمعايير سلامة الغذاء مثل HACCP، ISO 22000، GMP، مع استخدام مواد معتمدة غذائيًا وإجراء التنظيف والتعقيم بعد انتهاء أعمال الصيانة.<br><br>تسجيل أوامر الصيانة وقطع الغيار المستخدمة بدقة على نظام إدارة الصيانة (CMMS).<br><br>الالتزام الكامل بتطبيق إجراءات Lockout/Tagout (LOTO) قبل البدء في صيانة أي معدة.<br><br>تنفيذ أعمال الصيانة والإصلاح لماكينات تصنيع الشوكولاتة، وماكينات VFFS، وFlow Pack، وماكينات وضع الملصقات، وماكينات التعبئة والتغليف.<br><br>Requirements<br><br>خبرة من 7 إلى 10 سنوات في مجال الصيانة الميكانيكية داخل شركات الصناعات الغذائية أو شركات السلع الاستهلاكية (FMCG) أو مخازن وغرف التبريد.<br><br>لياقة بدنية للعمل في المرتفعات والأماكن المغلقة، والقدرة على العمل داخل غرف التبريد بدرجات حرارة تتراوح بين -18°C و+4°C.<br><br>المرونة في العمل بنظام الورديات.<br><br>المهارات الفنية:<br><br>خبرة متقدمة في صيانة واستبدال وضبط السيور، والسلاسل، والتروس، وناقلات الحركة، وصيانة علب التروس (Gearboxes) وأنظمة الاقتران (Couplings).<br><br>إجادة فك وتركيب وتشحيم الرولمان بلي العادي والغذائي، وتشخيص مشاكل عدم محاذاة الأعمدة والاهتزازات.<br><br>خبرة في صيانة واستكشاف أعطال الأنظمة الهوائية والهيدروليكية، بما يشمل الضواغط، والأسطوانات الهوائية، وصمامات التحكم، ووحدات معالجة الهواء (FRL)، والمضخات والمشغلات الهيدروليكية.<br><br>القدرة على تنفيذ أعمال القطع، والجلخ، والتركيب الميكانيكي، واللحام TIG وARC، مع تفضيل الخبرة في لحام وتصنيع الاستانلس ستيل المستخدم في الصناعات الغذائية.<br><br>خبرة في صيانة المضخات الطاردة المركزية ومضخات الإزاحة الموجبة، واستبدال Mechanical Seals، وO-Rings، وGaskets.<br><br>القدرة على قراءة وفهم الرسومات والتجميعات الميكانيكية، ومخططات خطوط الأنابيب (Isometric Drawings)، والمخططات الهوائية والهيدروليكية

Cladding Sales Officer (Young men and women). Seven Bond Company specializing in facade and cladding solutions. <p><strong>Additional Details</strong></p><ul><li>Number of vacancies: 3</li><li>Shift system: Morning only</li><li>Driver's license: Private</li></ul>

مشغل ماكينات بلاستيك <br><br>يقوم مشغل الماكينة بإرسال التقارير إلى قائد القيادة. الغرض من هذا الموقف هو الإشراف على الآلات والمعدات ، وضمان المنتج النهائي يلبي معايير الجودة والنظافة المطلوبة ، وفقا لمعايير وإجراءات الشركة.<br><br>المهام الرئيسية والمسؤوليات:<br><br> تشغيل الآلات والمعدات لضمان جودة ومطابقة المنتجات النهائية يقوم بمراقبة واستعادة الأجهزة الأوتوماتيكية والتحكمية (على سبيل المثال ، الدرج السابق ، جهاز سحب الألواح ، جهاز اختبار التسرب ، إلخ) ، وتسجيل النتائج وإبلاغ القسم الفني في الوقت المناسب عند الحاجة يتعاون في العمليات الفنية (على سبيل المثال ، تغيرات الألوان ، تغيرات العفن ، الشفرة ، المعدات ، تنظيف الخطوط ، إعداد الخطوط) حزم السلع التامة الصنع باستخدام مواد مناسبة (على سبيل المثال: الصناديق ، الصواني ، الحقائب ، إلخ) ، المداخن ، الأحمال وحقائب التسميات لتخزينها في المستودعات تزود المواد الخام ومواد التغليف المناسبة للخط باستخدام رافعة يدوية و / أو كهربائية تغذية النطاطات ورافعات مع المواد الخام أو زجاجات تتوجه لملء خطوط تتحكم في المنتج (مثل الضوابط المرئية ، والتحقق من الوزن ، وما إلى ذلك) باستخدام أدوات القياس ، تتبع خطة مراقبة المنتج وتسجل النتائج في النماذج المناسبة يشارك في فرز المنتجات التالفة / المنشق يشارك في أنشطة الفريق للحد من النفايات ، وتحسين الإنتاجية والجودةيحافظ على النظام والنظافة في جميع المجالات المعينة تعمل تمشيا مع ممارسات النظافة والسلامة في مكان العمل الصحيح قد يكون بمثابة نائب رئيس التحول في غيابه على افتراض الدور والمسؤوليات ذات الصلة الالتزام بمعايير الجودة وتحقيق أهداف الجودةالحفاظ على جودة المنتج وفقا للمواصفات المطلوبة<br><br>مهارات تقنية:<br><br> معرفة جيدة بتقنيات صب البلاستيك (EBM و / أو SBM و / أو IM) المعرفة الجيدة التطبيقية لأدوات القياس والتقنيات القدرة على تشغيل الرافعات الشوكية اليدوية والكهربائية المعرفة الأساسية التطبيقية للميكانيكيين ، وعلم الخصائص الميكانيكية والهيدروليكية ، والأنظمة الكهربائية و / أو الإلكترونية المعرفة الأساسية التطبيقية لمعايير WCM المعرفة الأساسية بقواعد وممارسات الصحة والسلامة والبيئة<br><br>مهارات شخصية:<br><br> المسائلة. تحمل المسؤولية عن أفعالك. كن مسؤولاً عن نتائجك. تأخذ ملكية لأخطائك حل المشاكل. كن تحليلي. كن مقتصدا وتجنب التعقيد لإنجاز المهمة دون المساومة على الجودة المرونة والعاطفة في ما تفعله. يتيح لك الصبر والمثابرة والعمل الجاد الوصول إلى أهدافك والرد بشكل إيجابي على التحديات. لا تيأس أبدا فريق اللعب. بناء الثقة في علاقاتك والمساهمة في جعل بيئة العمل إيجابية ومستقرة<br><br>التعليم و الخبرة:<br><br> دبلوم في الدراسات الكهربائية أو الميكانيكية