Python Developer Jobs in Egypt
1443 Jobs Found
<p>We are looking for an experienced <strong>AI Engineer</strong> to design, develop, and deploy AI-powered solutions that address business needs and improve operational efficiency.</p><p><strong>Requirements</strong></p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Design, develop, and deploy <strong>AI and Machine Learning solutions</strong>.</p></li><li><p>Develop and integrate <strong>Generative AI and Large Language Models (LLMs)</strong> into business applications.</p></li><li><p>Build and optimize <strong>Machine Learning and Deep Learning models</strong>.</p></li><li><p>Work with <strong>Python, ML frameworks, APIs, and AI development tools</strong>.</p></li><li><p>Develop AI-powered applications such as <strong>chatbots, recommendation systems, automation solutions, and intelligent assistants</strong>.</p></li><li><p>Process, analyze, and prepare large datasets for AI/ML model development.</p></li><li><p>Evaluate model performance and continuously improve accuracy, reliability, and scalability.</p></li><li><p>Integrate AI models with existing enterprise systems and applications.</p></li><li><p>Collaborate with <strong>Data Scientists, Software Engineers, Product Managers, and business stakeholders</strong>.</p></li><li><p>Deploy and monitor AI solutions in production environments.</p></li><li><p>Stay up to date with the latest developments in <strong>Generative AI, LLMs, NLP, and Machine Learning</strong>.</p></li></ul><p><strong>Requirements:</strong></p><ul><li><p>Proven experience as an <strong>AI Engineer, Machine Learning Engineer, or similar role</strong>.</p></li><li><p>Strong programming skills in <strong>Python</strong>.</p></li><li><p>Hands-on experience with <strong>Machine Learning and Deep Learning</strong> frameworks such as <strong>PyTorch, TensorFlow, or Scikit-learn</strong>.</p></li><li><p>Experience with <strong>Generative AI, LLMs, Prompt Engineering, and AI APIs</strong>.</p></li><li><p>Good knowledge of <strong>NLP, embeddings, vector databases, and RAG architectures</strong>.</p></li><li><p>Experience with <strong>REST APIs, cloud platforms, and AI deployment</strong> is preferred.</p></li><li><p>Strong understanding of data structures, algorithms, and software engineering principles.</p></li><li><p>Strong analytical and problem-solving skills.</p></li></ul><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>About the Role Are you a meticulous and strategic quality advocate looking to lead the charge in delivering flawless software? We are seeking a highly skilled Senior Software Testing Engineer to join our Cairo-based team. In this critical role, you will design and implement comprehensive testing strategies, mentor junior engineers, and champion quality across all development phases. You will be the final gatekeeper ensuring our products meet the highest standards of performance, security, and usability before they reach our users.</p><p>Key Responsibilities</p><ul><li>Lead the development of detailed test plans, test cases, and automated test scripts for complex software features.</li><li>Perform rigorous manual and automated testing (functional, regression, integration, and performance) to identify defects.</li><li>Collaborate closely with developers, product managers, and DevOps to understand requirements and improve testability.</li><li>Design and maintain robust automation frameworks using industry-standard tools (e.g., Selenium, Cypress, JUnit, or similar).</li><li>Analyze test results, report bugs with clarity, and track them to resolution using tools like JIRA or Azure DevOps.</li><li>Mentor mid-level and junior testers, conducting code reviews for test scripts and sharing best practices.</li><li>Continuously improve testing processes, reducing time-to-market while increasing coverage.</li><li>Contribute to the CI/CD pipeline to ensure automated tests are integrated effectively.</li></ul><p>Qualifications & Requirements</p><ul><li>Experience: 5+ years of hands-on experience in software testing, with at least 2 years in a senior or lead capacity.</li><li>Technical Skills: Strong proficiency in at least one programming language (Java, Python, or C#) and deep knowledge of test automation frameworks.</li><li>Test Methodology: Expert understanding of Agile/Scrum, black-box, white-box, and exploratory testing techniques.</li><li>Tools: Hands-on experience with test management tools (JIRA, TestRail) and version control (Git).</li><li>Languages: Excellent verbal and written communication skills in English and Arabic.</li><li>Education: Bachelor s degree in Computer Science, Software Engineering, or a related field.</li><li>Mindset: A passion for quality, attention to detail, and a problem-solving attitude.</li></ul><p>Job Benefits</p><ul><li>Competitive compensation in a stable currency (USD).</li><li>Opportunity to work on cutting-edge products in a dynamic, tech-forward environment.</li><li>Collaborative and inclusive team culture with a focus on professional growth.</li><li>Access to continuous learning resources and certifications.</li><li>A modern office location in Cairo with a flexible work setup.</li></ul><p>If you are ready to elevate your career and drive quality in a senior role, we encourage you to apply. Join us in building software that sets the standard!</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Experience: 5+ years of hands-on experience in software testing, with at least 2 years in a senior or lead capacity.</li><li>Technical Skills: Strong proficiency in at least one programming language (Java, Python, or C#) and deep knowledge of test automation frameworks.</li><li>Test Methodology: Expert understanding of Agile/Scrum, black-box, white-box, and exploratory testing techniques.</li><li>Tools: Hands-on experience with test management tools (JIRA, TestRail) and version control (Git).</li><li>Languages: Excellent verbal and written communication skills in English and Arabic.</li><li>Education: Bachelor s degree in Computer Science, Software Engineering, or a related field.</li><li>Mindset: A passion for quality, attention to detail, and a problem-solving attitude.</li></ul><p></p></section>
Acronis is a global leader in cyber protection, delivering AI-powered protection for productive MSPs in a single, natively integrated platform that unifies operations management, cybersecurity, and data protection. Driven by our mission to protect, manage and automate every workload, we’ve built the industry’s only all-in-one solution.<br><br>In this role you will be a Single Point of Contact for Acronis partners and end customers, driving and advocating initiatives that deliver higher stability, better partner/customer satisfaction, all while driving Monthly Recurring Revenue goals. The role requires ability for occasionally travel, including internationally.<br><br>What You'll Do<br><br>Develop responses to RFIs and RFPs, technical & commercial proposals to prospective customers’ requirements. Develop PSA and SOW in collaboration with Sales and Legal teams. Develop project plan in scope of implementation, consulting and integration projects with end customers, manage project work. Work with Datacenter Operations, R&D, Support, and other departments to clear technical roadblocks customer faces at implementation and post implementation stages. Build and maintain current functional and technical knowledge of the entire Acronis product line, provide consultations to customer engaging experts from other Acronis teams as required. Review customer’s implementation and integration plans and make recommendations in line with best practices. Present new product functionality, engage customer in evaluation of new product releases. Keep track of customer run rates, develop remediation plan in case of negative dynamics. Work with R&D, Datacenter Operations, Support, Product, and other departments prioritizing and keeping track of customer’s incidents and feature requests. Update customer on regular basis about progress of work on support cases, incidents, and features request. Manage process escalations, develop Acronis internal and customer facing executive summaries, develop root cause analysis reports. Provide feedback to Acronis Product Management teams based on customer requirements. Conduct quarterly review meeting providing update on run rates, key projects, and planned activities for the next period. Manage internal organization development projects, ensure consistent execution and reporting.<br><br>Who We’re Looking For<br><br>3+ years in Project Manager or Technical Account Manager role in a software or systems integration company.3+ years of technical hands-on experience in the following areas : Saa S, Iaa S, storages, hypervisors, backup, disaster recovery, Rest APIIP network design/administration DC/infrastructure design/operations, DBs administration Server administration Dashboards/reports Python scripting (advantage) Excellent communications, interpersonal, and presentation skills. Excellent business analysis, project, risk, and relationship management skills. Ability to interact and communicate with multiple stakeholders, including C-level. Fluent written and spoken French and English. Please submit your resume and application in English<br><br>Who We Are<br><br>A Swiss company founded in Singapore in 2003, Acronis offers over twenty years of innovation with 15 offices worldwide and employees in 50+ countries. Acronis Cyber Protect is available in 26 languages in 150 countries and is used by over 21,000 service providers to protect more than 750,000 businesses.<br><br>Our corporate culture centers on innovation, accountability, and impact. We encourage our people to think boldly, challenge conventional approaches, and take ownership of outcomes. As a member of our global “A-Team,” you’ll operate in a high-growth, fast-paced environment where resilience, adaptability, and a commitment to continuous improvement drive success.<br><br>OUR INTERVIEW PRACTICES<br><br>To ensure a fair and genuine hiring process, candidates are expected to participate in interviews without the use of AI tools, automated prompts, or third-party assistance. Interviews are designed to assess individual skills, experience, and communication style, and we value authentic, real-time interaction.<br><br>Use of AI or external assistance during live interviews may result in disqualification. For roles where AI skills are being evaluated, permitted use of AI tools will be clearly communicated in advance. Candidates may be asked to disable virtual backgrounds or participate in in-person interviews. All employment offers are contingent upon successful completion of applicable criminal, education and identity background checks<br><br>Acronis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.
<p>Test automation across the stack Backend: API and contract testing, service-level and integration coverage, data setup that doesn't rot, and test design that survives a schema change. Frontend: web E2E and component-level coverage with Playwright, visual and RTL regression, and suites fast enough to gate a merge rather than a nightly. Mobile: native and cross-platform coverage with Appium or Maestro, device-farm strategy, offline and sync behaviour, and the payment-peripheral paths that only break on real hardware. The connective tissue: shared fixtures, environment and test-data management, parallelisation, and CI pipelines where a red build means something. performance and load testing Experience. The AI layer on top of it Test generation from specs, code, and production traffic with the maintenance story solved, not just the first draft. Failure triage that classifies a red build before a human opens it: real bug, flake, environment, or test rot. Self-healing locators and suite health tooling flake detection, quarantine, coverage-gap analysis. Evaluation infrastructure for AI features across our products: datasets, scoring, and regression detection when a prompt or model changes. Evaluation for our market specifically Arabic and English behaviour, RTL interfaces, and region-specific POS, tax, and payment rules. Correctness here is rarely a string match. Agentic AI and orchestration Agentic AI that does real work in our pipelines: reads a diff, runs the relevant suite, reproduces a failure, proposes a fix, opens the PR. Agents that own a quality workflow end to end exploratory testing against a running build, coverage-gap hunting, release-risk assessment and know when to escalate to a human. Orchestration that holds up under load multi-step planning, tool use, retries, state and memory across steps, sandboxed execution, multi-agent handoffs, and clean boundaries between agentic and deterministic steps. Integration with the stack we already have (CI, Jira, observability, MCP-style tool interfaces) rather than a parallel system beside it. The judgement to know when a plain pipeline beats an agent, and to say so. The technical ground You should be current on how this work is actually done today, and able to argue about it rather than recite it: Test automation: framework design and layering, the test pyramid and where it stops being useful, flake economics, parallel execution, mobile and cross-browser realities, CI/CD gating, Framework: Playwright, Appium, Maestro Agentic AI: orchestration and tool use, multi-step planning, memory and state, sandboxed execution, multi-agent patterns, MCP and similar tool-integration standards, and the cost of each. Context engineering: retrieval strategy, chunking, reranking, caching, and managing long-context behaviour including where it degrades. Evaluation: offline and online evals, LLM-as-judge and its failure modes, human-in-the-loop review, statistical significance on small samples, regression gates in CI. Reliability: structured output, guardrails, fallback and retry design, and handling non-determinism in systems that must not flap. Operations: tracing and observability for LLM systems, prompt and version management, latency and cost budgeting, model routing, and when fine-tuning or distillation beats a better prompt.</p><p><strong>Desired Candidate Profile</strong></p><p>An engineer who ships production software, with recent hands-on work on LLM-backed systems that real users depend on. Strong Python; comfortable in at least one of .NET, Java, or TypeScript. Tested, maintained code not notebooks. Real automation depth across more than one surface. You've owned a suite that gates releases on backend and on a UI web or mobile and you can explain how you kept it green without deleting the hard tests. Real experience building evaluation systems. You can explain how you knew your system was getting better, with numbers. Practical depth with the modern LLM toolkit prompting, structured output, tool use, retrieval, agentic AI orchestration and a clear sense of the trade-offs. Credible testing fundamentals. You don't need a QA title, but test design, automation frameworks, and CI/CD shouldn't be new to you. A bias toward adoption. You measure your work by what other engineers use, not by what you demoed.</p>
<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Educational qualifications</strong></p><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li></ul><p><strong>Academic and/or Professional Experience</strong></p><ul><li>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.</li><li>We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.</li><li>A methodical, detail-oriented approach and the ability to work independently are essential.</li></ul><p><strong>Technical Skills (Essential)</strong></p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p><strong>Additional requirements</strong></p><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>
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<span>Become the AI & Automation Rockstar at Infomineo!<br> Do you dream of using cutting-edge AI and automation to revolutionize how businesses operate?<br> Infomineo, a fast-growing business insights powerhouse, is seeking a Research & Development Engineer to join our ranks and spearhead the development of next-gen solutions for our global clientele.<br> Why Infomineo?<br> Here's what sets us apart: Shape the Future of Business Insights: You'll be at the forefront, designing and implementing AI-driven solutions that automate tasks and boost efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with the Big Players: Our clients are industry leaders - Fortune 500s, consultancies, governments, and NGOs - and you'll play a vital role in supporting their success.<br> Global Impact, Local Connections: Infomineo boasts a vibrant international team with offices across 5 continents.<br> Collaborate with diverse, brilliant minds and gain exposure to a variety of industries and regions.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, creativity, and a "can-do" attitude.<br> You'll be encouraged to contribute your ideas and make a real difference in the company's growth.<br> Does this sound like your dream role?<br> Here's what you'll bring to the table: 1-3 years of experience developing applications using Python Experience building frontend interfaces using React Experience designing and maintaining RESTful APIs.<br> Experience working with SQL databases (e.<br>g., PostgreSQL) and writing complex queries.<br> Adhere to Clean Code principles and familiarity with software design patterns.<br> Exposure to or a strong interest in integrating AI algorithms (Agentic AI) into web applications.<br> Familiar with Agile/Scrum development cycles.<br> Bachelor’s or Master’s degree in Computer Science or a related field.<br> Education & Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.<br> Experience: 0-3 years of experience in software development (internships included).<br> Technical Proficiency Languages: Strong proficiency in Python (Backend frameworks) and JavaScript/TypeScript.<br> Frontend: Experience developing with React.<br> Database: Experience with PostgreSQL and data modeling.<br> Environment: Proficiency with Linux command line and version control (Git).<br> AI Exposure: Knowledge of or experience implementing AI/ML algorithms or Agentic AI concepts.<br> Soft Skills Problem Solving: A knack for breaking down complex technical challenges into manageable steps.<br> Adaptability: A desire to learn and adapt quickly in a fast-paced environment.<br> Communication: The ability to explain technical decisions to team members and non-technical stakeholders.<br> Nice-to-Haves Experience with Cloud platforms (AWS/GCP) for deployment.<br> Knowledge of specific Python web frameworks (Django, FastAPI, or Flask).<br> Ready to join the revolution?<br> We offer: A competitive compensation and benefits package.<br> The opportunity to make a real impact on a global scale.<br> A dynamic and supportive work environment that values your contributions.<br> Continuous learning and professional development opportunities to propel your career forward.<br> Show us what you've got!<br> Submit your resume, cover letter, and any relevant portfolio links showcasing your AI and automation expertise.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>
<p>We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models. You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code. Your work is what makes the training signal trustworthy. To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history. What you'll do Write original algorithmic problems clear statement, sound constraints, an intended solution; Write correct solutions in C++ and Python; Write realistic wrong solutions (common mistakes) to test against; Build and harden test cases: generators, edge cases, stress and "hacking" tests; Write checkers/interactors (testlib) for problems with more than one valid answer; Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits. What we look for Strong competitive programming background, shown by a public profile a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+). Levels (by Codeforces rating, or equivalent olympiad achievement): Associate 1PHONE_NUMBER (Expert / Candidate Master): easier problems; Expert 2PHONE_NUMBER (Master / Grandmaster): harder problems Senior / Reviewer 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review. Nice to have IOI / ICPC alumni and top competitive programmers especially encouraged to apply; Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges); Testlib experience (checkers, validators, generators); Experience creating data for LLM code benchmarks or similar RL / evaluation datasets. How it works Apply Pass qualification(s) Join a project Complete tasks Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Compensation Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks. Because payment is per task, a faster pace raises your effective hourly rate.</p><p><strong>Desired Candidate Profile</strong></p><p>Strong competitive programming background, shown by a public profile a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record; Fluent contest C++ (STL, complexity); comfortable writing Python; Can explain why a solution is wrong and build an input that breaks it; Strong written English (C1+).</p><p>Levels (by Codeforces rating, or equivalent olympiad achievement):</p><ul><li>Associate 1PHONE_NUMBER (Expert / Candidate Master): easier problems;</li><li>Expert 2PHONE_NUMBER (Master / Grandmaster): harder problems</li><li>Senior / Reviewer 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review.</li></ul><p>Nice to have</p><ul><li>IOI / ICPC alumni and top competitive programmers especially encouraged to apply;</li><li>Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges);</li><li>Testlib experience (checkers, validators, generators);</li><li>Experience creating data for LLM code benchmarks or similar RL / evaluation datasets.</li></ul>
<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p><strong>Key Responsibilities</strong></p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><p><strong>Technical Skills (Essential)</strong></p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p><strong>Additional requirements</strong></p><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><div><div><span style="font-size: 11px;">We are looking for a Security Test Engineer to validate the security, reliability, and correctness of authorization and policy enforcement systems used in AI agent platforms. The role combines security testing, automated test development, API security validation, and policy verification. The ideal candidate has strong experience in security-focused QA, test automation with Python, and modern application security practices.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;"><b>What project we have for you</b></span></div><div><span style="font-size: 11px;">Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications.</span></div><div><span style="font-size: 11px;">Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform.</span></div><div><span style="font-size: 11px;">The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices.</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">What you will do</span></div><div><span style="font-size: 11px;">Design and execute functional and security test strategies for policy-driven authorization systems.</span></div><div><span style="font-size: 11px;">Develop and maintain automated security and policy validation test suites using Python and pytest.</span></div><div><span style="font-size: 11px;">Validate permit/deny decisions, policy precedence rules, parameter-level access controls, and policy evaluation correctness.</span></div><div><span style="font-size: 11px;">Test transitions between LOG_ONLY and ENFORCE policy modes and verify expected enforcement behavior.</span></div><div><span style="font-size: 11px;">Perform API security testing based on OWASP API Top 10 recommendations.</span></div><div><span style="font-size: 11px;">Conduct security assessments, penetration testing, and threat modeling exercises for platform services and AI agent workflows.</span></div><div><span style="font-size: 11px;">Design and execute test scenarios covering agent identity spoofing, prompt injection, policy bypass attempts, and other agentic AI attack vectors.</span></div><div><span style="font-size: 11px;">Validate audit logging, traceability, and security event generation for authorization decisions.</span></div><div><span style="font-size: 11px;">Verify A2A policy enforcement mechanisms across agent interactions and distributed workflows.</span></div><div><span style="font-size: 11px;">Collaborate with engineering and security teams to identify vulnerabilities and improve platform security posture.</span></div><div><span style="font-size: 11px;">Maintain security test documentation, reports, and compliance evidence where required.</span></div><div><span style="font-size: 11px;">What you need for this</span></div><div><span style="font-size: 11px;">Security testing (pen testing, threat modeling)</span></div><div><span style="font-size: 11px;">• Agentic AI threat modelling (OWASP Top 10 for LLMs’: ‘prompt injection as policy bypass, agent identity spoofing)</span></div><div><span style="font-size: 11px;">• Python test automation (pytest)</span></div><div><span style="font-size: 11px;">• A2A policy enforcement testing</span></div><div><span style="font-size: 11px;">• Audit log validation</span></div><div><span style="font-size: 11px;">• Functional policy test suite ownership (permit/deny correctness, forbid-overrides-permit, parameter-level conditions, LOG_ONLY → ENFORCE mode switching)</span></div><div><span style="font-size: 11px;">• Functional and security test design</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;"><b>Experience</b>:</span></div><div><span style="font-size: 11px;"><br></span></div><div><span style="font-size: 11px;">• 4+ years quality assurance or security testing</span></div><div><span style="font-size: 11px;">• Automated security test suite implementation</span></div><div><span style="font-size: 11px;">• API security testing (OWASP API Top 10)</span></div><div><span style="font-size: 11px;"><br></span></div><div><br></div> </div></div></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system. In this role, as an AI Pilot that s how we refer to this role at Mindrift you ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches. Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements. Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior. Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential. Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required)</p><p></p></section>
<p>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases.</p><p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><h4>What We Do</h4><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><h4>About the Role</h4><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><h4>Key Responsibilities</h4><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><h4>Educational qualifications</h4><ul><li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li><li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li></ul><h4>Academic and/or Professional Experience</h4><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><h4>Technical Skills (Essential)</h4><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><h4>Additional requirements</h4><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li><li>A link to GitHub is a plus</li><li>English proficiency: Upper-intermediate (B2) or above (required)</li></ul><h4>Project time expectations</h4><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><h4>Compensation</h4><p>On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p><strong>Desired Candidate Profile</strong></p><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</p><p>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</p><p>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</p><p>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</p><p>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</p><p>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</p><p>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</p><p>Strong attention to detail and commitment to data accuracy</p><p>Self-directed work ethic with ability to troubleshoot independently</p><p>English proficiency: Upper-intermediate (B2) or above (required)</p>
We are looking for a talented RPA Developer II to join our growing team at Advansys. In this role, you will be responsible for developing and implementing Robotic Process Automation (RPA) solutions using automation tools and frameworks. You will work closely with business analysts to understand process requirements and improve automation efficiency.<br><br>Key responsibilities include developing automation workflows, testing RPA solutions, and collaborating with cross-functional teams to enhance existing processes through automation.<br><br>Requirements<br><br>2-3 years of experience in RPA development or automation Hands-on experience in UiPath with RPA tools such as UiPath, Automation Anywhere, or Blue Prism Experience in production support, troubleshooting, and monitoring of automation solutions Good understanding of RPA concepts, workflow troubleshooting, exception handling, and issue resolution Experience working with databases, APIs, Document understanding and basic IT/infrastructure concepts Ability to manage incidents, support requests, and production issues within agreed SLAsExperience with cloud platforms and enterprise automation environments Familiarity with IT service management tools and processes. Basic knowledge of scripting or programming such as Python or Power Shell Prefer to have Certifications in RPA tools or UiPath certifications<br><br>Benefits<br><br>Social and Medical Insurance Transportation
Company Overview:<br>Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.<br>Our Vision and Values:<br>We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:<br>Excellence Responsibility Empowerment Connectivity Courage<br>Responsibilities:<br>Familiarity with Linux distributions (e.g., Ubuntu, RHEL) and Windows Server 2022+. Familiarity with web servers, reverse proxy, load balancers, and firewall setup. Deep knowledge of containerization and virtualization. Knowledge of cloud (e.g., AWS, Azure, or GCP) is a plus. Define, govern, and evolve the enterprise technical stack (React, Type Script, Python, Node JS, . NET Core, SQL, Mongo DB). Build and maintain CI/CD pipelines in Azure Dev Ops, enabling automated testing, deployments, and monitoring. Embed security into the SDLC through secure coding standards, vulnerability scanning, and Dev Sec Ops practices. Collaborate with cybersecurity to address threat modeling, risk mitigation, and compliance requirements. Collaborates with software developers to optimize application performance and resource usage. Automate infrastructure provisioning and configuration management (Infrastructure-as-Code). Evaluate emerging technologies and propose adoption strategies to modernize legacy systems. Documents system architecture, processes, and automation scripts thoroughly. Ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.<br>Qualifications:<br>Bachelor’s degree in Computer Science, Software Engineering, or a related field (Master’s preferred).3+ years of experience in software development, solution architecture, and Dev Sec Ops engineering. Proven expertise in designing enterprise-scale systems and managing CI/CD pipelines. Strong knowledge of React, Type Script, Python, Node JS, . NET Core, SQL, Mongo DB, and cloud platforms. Experience with containerization (Docker, Kubernetes), Infrastructure-as-Code, and monitoring tools. Solid understanding of security frameworks, OWASP, and vulnerability management practices. Hands-on understanding of AI/ML use cases, automation platforms and Agentic AI as part of your daily toolkit.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Build <strong>predictive models</strong> for customer targeting, spend growth, retention, and churn reduction.</p></li><li><p>Develop <strong>customer segmentations</strong> to support lifecycle marketing, campaign strategy, and personalization.</p></li><li><p>Analyze <strong>campaign performance</strong> across segments, products, channels, and behaviors.</p></li><li><p>Design <strong>test-and-learn frameworks</strong> including control groups and post-campaign reviews.</p></li><li><p>Partner with client stakeholders to ensure outputs are <strong>practical, explainable, and business-ready</strong>.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>7–8 years of experience in <strong>data science / advanced analytics / consulting</strong>.</p></li><li><p>Strong background in <strong>banking analytics</strong>, especially <strong>credit & debit cards</strong>.</p></li><li><p>Expertise in <strong>marketing analytics, predictive modeling, segmentation, campaign analytics</strong>.</p></li><li><p>Proficiency in <strong>Python, SAS, SQL</strong> with large banking datasets.</p></li><li><p>Solid knowledge of <strong>statistical modeling, ML, model validation, performance tracking</strong>.</p></li><li><p>Strong communication skills for <strong>senior-level presentations & reports</strong>.</p></li><li><p>Consulting discipline: <strong>structured problem-solving, ownership, timely delivery</strong>.</p></li><li><p>Comfortable working as a <strong>contractor in Egypt</strong></p></li></ul><p></p></section>
As an AI & Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals. This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br><br>Responsibilities<br><br>Develop and implement AI and data-driven solutions to support business objectives Analyze large datasets to extract actionable insights and support decision-making Design and build machine learning models and algorithms tailored to company projects Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows Stay current with the latest advances in AI, machine learning, and data science technologies Support data governance, data quality, and ethical AI practices within the organization<br><br>Requirements<br><br>Bachelor's degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field Basic knowledge of machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn (academic or personal projects are a plus) Good programming skills in Python and familiarity with data processing libraries (such as Pandas and Num Py) Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows Experience working in Agile-style delivery Eligible to work in Egypt Experience with version control using Git is a plus Completion of solid AI, machine learning, or data projects is a plus<br><br>Benefits<br><br>A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within Continuous feedback: We don't wait for annual reviews — we believe in real-time coaching and development Supportive & collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team A space for every personality: Love socializing? You'll thrive in our lively environment where conversation and connection are key. Prefer quiet focus? We've got dedicated Focus Rooms perfect for deep work
As an AI & Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals. This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br><br>Responsibilities<br><br>Develop and implement AI and data-driven solutions to support business objectives Analyze large datasets to extract actionable insights and support decision-making Design and build machine learning models and algorithms tailored to company projects Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows Stay current with the latest advances in AI, machine learning, and data science technologies Support data governance, data quality, and ethical AI practices within the organization<br><br>Requirements<br><br>Bachelor's degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field Basic knowledge of machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn (academic or personal projects are a plus) Good programming skills in Python and familiarity with data processing libraries (such as Pandas and Num Py) Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows Experience working in Agile-style delivery Eligible to work in Egypt Experience with version control using Git is a plus Completion of solid AI, machine learning, or data projects is a plus<br><br>Benefits<br><br>A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within Continuous feedback: We don't wait for annual reviews — we believe in real-time coaching and development Supportive & collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team A space for every personality: Love socializing? You'll thrive in our lively environment where conversation and connection are key. Prefer quiet focus? We've got dedicated Focus Rooms perfect for deep work
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><b>What you will do</b></p><p>Design and implement semantic discovery capabilities for MCP servers, tools, and agent ecosystems.</p><p>Build and maintain vector-based search solutions using embeddings, OpenSearch, pgvector, or similar technologies.</p><p>Develop metadata taxonomies and capability classification models for MCP services and AI tools.</p><p>Design and implement secure credential retrieval services using Python and cloud-native architectures.</p><p>Integrate HashiCorp Vault and AWS Secrets Manager to support secure secret storage and access management.</p><p>Build APIs for credential retrieval, access validation, and secure secret consumption.</p><p>Implement governance controls for credentials, service identities, and tool access policies.</p><p>Design semantic indexing pipelines and relevance-ranking strategies for discovery services.</p><p>Collaborate with platform, security, and AI engineering teams to establish discovery and credential management standards.</p><p>Implement observability, auditability, and monitoring for secret access and discovery workflows.</p><p>Support lifecycle management of credentials, service identities, and access tokens across distributed systems.</p><p>Produce technical documentation, architecture guidelines, and operational playbooks.</p><p>What you need for this</p><p>• Semantic discovery implementation (vector embeddings, OpenSearch or pgvector)</p><p>• Vault (HashiCorp) integration for credential management</p><p>• AWS Secrets Manager as an alternative</p><p>• Python credential retrieval API</p><p>• MCP server capability and semantic domain taxonomy</p><p><br></p><p>Experience:</p><p><br></p><p>• 4+ years platform or backend engineering</p><p>• Secrets management (Vault or AWS Secrets Manager)</p><p>• Vector search or semantic search implementation </p><p><br></p><p>Will be a plus:</p><p><br></p><p>• AWS Bedrock embedding models for semantic indexing</p><p>• OpenSearch Service or pgvector on RDS</p><p>• OAuth token lifecycle management</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><br></li></ul><p></p></section>
<p>As a Senior Developer at FlairsTech, you will be a hands-on technical leader within the engineering team that builds our AI-powered call-receptionist platform for restaurants. You'll design and build scalable, secure systems across our TypeScript/Next.js frontend, Python services, and AWS infrastructure taking features from technical design through implementation, release, and production monitoring. You'll combine deep technical expertise with strong collaboration skills, setting the engineering bar for the team, mentoring peers, and driving continuous improvement in code quality, architecture, and delivery practices.</p>
<h3>What You'll Do</h3>
<ul>
<li>Hands-On Development & Architecture - Design, build, and maintain features across our TypeScript/Next.js frontend, Python services, and AWS infrastructure (Lambda, ECS, API Gateway, CloudWatch, etc.)</li>
<li>Own the technical design for complex features and projects, from proposal through implementation and production monitoring</li>
<li>Write clean, well-tested, maintainable code and set the technical bar for the team</li>
</ul>
<h3>Code Quality & Engineering Standards</h3>
<ul>
<li>Lead code-review practices and enforce automated testing (unit, integration, e2e)</li>
<li>Uphold SOC 2 requirements in day-to-day engineering work</li>
<li>Identify and address technical debt, performance bottlenecks, and scalability risks before they become production issues</li>
</ul>
<h3>Internal Operational Systems</h3>
<ul>
<li>Build and maintain the tooling and integrations that power customer support, billing, onboarding, and account-management workflows (e.g., Intercom, Stripe, subscription management, usage metering)</li>
<li>Partner with Support and Finance leads to translate process pain points into elegant, automated solutions, instrument KPIs (CSAT, first-reply time, invoice accuracy), and iterate for continuous improvement</li>
</ul>
<h3>Operational Excellence & DevOps</h3>
<ul>
<li>Improve CI/CD pipelines and observability dashboards (Sentry, CloudWatch); participate in on-call rotation to help maintain 99.9% uptime</li>
<li>Drive performance, cost-optimization, and security hardening across services</li>
</ul>
<h3>Mentorship & Collaboration</h3>
<ul>
<li>Mentor and pair with other engineers, giving actionable code-review feedback and helping onboard new teammates technically</li>
<li>Collaborate closely with the Dev Manager and Product on roadmap planning, providing technical input, effort estimates, and architectural tradeoffs</li>
<li>Foster a culture of ownership and continuous learning by example</li>
</ul>
<h3>Bonus Points For</h3>
<ul>
<li>Experience with AI products, speech technology, or voice agents</li>
<li>Prior involvement in SOC 2, PCI-DSS, or other compliance initiatives</li>
<li>DevOps chops (Terraform, Kubernetes, GitHub Actions) and performance-tuning expertise</li>
<li>Familiarity with observability stacks (OpenTelemetry, Datadog) and cost-optimization strategies</li>
</ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Technical Depth:</strong> 5+ years of professional software engineering experience, with hands-on expertise in modern web stacks (TypeScript/React/Next.js), Python backend services, cloud architecture (AWS), and microservices</p>
<p><strong>Architecture & Design:</strong> Proven ability to independently design and deliver complex, scalable systems end-to-end, and make sound technical tradeoffs</p>
<p><strong>Process Fluency:</strong> Comfortable operating within agile/Scrum or Kanban frameworks, contributing to sprint planning and backlog grooming</p>
<p><strong>Operational Systems Fluency:</strong> Experience automating support, billing, or similar back-office workflows via SaaS integrations and custom tooling</p>
<p><strong>Communication Skills:</strong> Ability to translate complex technical concepts for non-technical teammates and stakeholders</p>
<p><strong>Analytical & Strategic Thinking:</strong> Data-driven approach to prioritization and continuous improvement</p>
<p><strong>Mentorship & Empathy:</strong> Passion for coaching engineers, giving actionable feedback, and contributing to an inclusive, high-trust team</p>
<p><strong>Adaptability:</strong> Comfort navigating ambiguity and changing priorities inherent to a high-growth startup</p>
<p>About the Role As a Senior Developer at FlairsTech, you will be a hands-on technical leader within the engineering team that builds our AI-powered call-receptionist platform for restaurants. You'll design and build scalable, secure systems across our TypeScript/Next.js frontend, Python services, and AWS infrastructure taking features from technical design through implementation, release, and production monitoring. You'll combine deep technical expertise with strong collaboration skills, setting the engineering bar for the team, mentoring peers, and driving continuous improvement in code quality, architecture, and delivery practices. What You'll Do Hands-On Development & Architecture - Design, build, and maintain features across our TypeScript/Next.js frontend, Python services, and AWS infrastructure (Lambda, ECS, API Gateway, CloudWatch, etc.) - Own the technical design for complex features and projects, from proposal through implementation and production monitoring - Write clean, well-tested, maintainable code and set the technical bar for the team Code Quality & Engineering Standards - Lead code-review practices and enforce automated testing (unit, integration, e2e) - Uphold SOC 2 requirements in day-to-day engineering work - Identify and address technical debt, performance bottlenecks, and scalability risks before they become production issues Internal Operational Systems - Build and maintain the tooling and integrations that power customer support, billing, onboarding, and account-management workflows (e.g., Intercom, Stripe, subscription management, usage metering) - Partner with Support and Finance leads to translate process pain points into elegant, automated solutions, instrument KPIs (CSAT, first-reply time, invoice accuracy), and iterate for continuous improvement Operational Excellence & DevOps - Improve CI/CD pipelines and observability dashboards (Sentry, CloudWatch); participate in on-call rotation to help maintain 99.9% uptime - Drive performance, cost-optimization, and security hardening across services Mentorship & Collaboration - Mentor and pair with other engineers, giving actionable code-review feedback and helping onboard new teammates technically - Collaborate closely with the Dev Manager and Product on roadmap planning, providing technical input, effort estimates, and architectural tradeoffs - Foster a culture of ownership and continuous learning by example Bonus Points For - Experience with AI products, speech technology, or voice agents - Prior involvement in SOC 2, PCI-DSS, or other compliance initiatives - DevOps chops (Terraform, Kubernetes, GitHub Actions) and performance-tuning expertise - Familiarity with observability stacks (OpenTelemetry, Datadog) and cost-optimization strategies</p><p><strong>Desired Candidate Profile</strong></p><p>What You Bring - Technical Depth: 5+ years of professional software engineering experience, with hands-on expertise in modern web stacks (TypeScript/React/Next.js), Python backend services, cloud architecture (AWS), and microservices - Architecture & Design: Proven ability to independently design and deliver complex, scalable systems end-to-end, and make sound technical tradeoffs - Process Fluency: Comfortable operating within agile/Scrum or Kanban frameworks, contributing to sprint planning and backlog grooming - Operational Systems Fluency: Experience automating support, billing, or similar back-office workflows via SaaS integrations and custom tooling - Communication Skills: Ability to translate complex technical concepts for non-technical teammates and stakeholders - Analytical & Strategic Thinking: Data-driven approach to prioritization and continuous improvement - Mentorship & Empathy: Passion for coaching engineers, giving actionable feedback, and contributing to an inclusive, high-trust team - Adaptability: Comfort navigating ambiguity and changing priorities inherent to a high-growth startup</p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
About the Role<p>As a Senior Developer at FlairsTech, you will be a hands-on technical leader within the engineering team that builds our AI-powered call-receptionist platform for restaurants. You'll design and build scalable, secure systems across our TypeScript/Next.js frontend, Python services, and AWS infrastructure — taking features from technical design through implementation, release, and production monitoring. You'll combine deep technical expertise with strong collaboration skills, setting the engineering bar for the team, mentoring peers, and driving continuous improvement in code quality, architecture, and delivery practices.</p><br><p>What You'll Do</p><br><p>Hands-On Development & Architecture</p><br><p>- Design, build, and maintain features across our TypeScript/Next.js frontend, Python services, and AWS infrastructure (Lambda, ECS, API Gateway, CloudWatch, etc.)</p><br><p>- Own the technical design for complex features and projects, from proposal through implementation and production monitoring</p><br><p>- Write clean, well-tested, maintainable code and set the technical bar for the team</p><br><p>Code Quality & Engineering Standards</p><br><p>- Lead code-review practices and enforce automated testing (unit, integration, e2e)</p><br><p>- Uphold SOC 2 requirements in day-to-day engineering work</p><br><p>- Identify and address technical debt, performance bottlenecks, and scalability risks before they become production issues</p><br><p>Internal Operational Systems</p><br><p>- Build and maintain the tooling and integrations that power customer support, billing, onboarding, and account-management workflows (e.g., Intercom, Stripe, subscription management, usage metering)</p><br><p>- Partner with Support and Finance leads to translate process pain points into elegant, automated solutions, instrument KPIs (CSAT, first-reply time, invoice accuracy), and iterate for continuous improvement</p><br><p>Operational Excellence & DevOps</p><br><p>- Improve CI/CD pipelines and observability dashboards (Sentry, CloudWatch); participate in on-call rotation to help maintain 99.9% uptime</p><br><p>- Drive performance, cost-optimization, and security hardening across services</p><br><p>Mentorship & Collaboration</p><br><p>- Mentor and pair with other engineers, giving actionable code-review feedback and helping onboard new teammates technically</p><br><p>- Collaborate closely with the Dev Manager and Product on roadmap planning, providing technical input, effort estimates, and architectural tradeoffs</p><br><p>- Foster a culture of ownership and continuous learning by example</p><br><p>What You Bring</p><br><p>- Technical Depth: 5+ years of professional software engineering experience, with hands-on expertise in modern web stacks (TypeScript/React/Next.js), Python backend services, cloud architecture (AWS), and microservices</p><br><p>- Architecture & Design: Proven ability to independently design and deliver complex, scalable systems end-to-end, and make sound technical tradeoffs</p><br><p>- Process Fluency: Comfortable operating within agile/Scrum or Kanban frameworks, contributing to sprint planning and backlog grooming</p><br><p>- Operational Systems Fluency: Experience automating support, billing, or similar back-office workflows via SaaS integrations and custom tooling</p><br><p>- Communication Skills: Ability to translate complex technical concepts for non-technical teammates and stakeholders</p><br><p>- Analytical & Strategic Thinking: Data-driven approach to prioritization and continuous improvement</p><br><p>- Mentorship & Empathy: Passion for coaching engineers, giving actionable feedback, and contributing to an inclusive, high-trust team</p><br><p>- Adaptability: Comfort navigating ambiguity and changing priorities inherent to a high-growth startup</p><br><p>Bonus Points For</p><br><p>- Experience with AI products, speech technology, or voice agents</p><br><p>- Prior involvement in SOC 2, PCI-DSS, or other compliance initiatives</p><br><p>- DevOps chops (Terraform, Kubernetes, GitHub Actions) and performance-tuning expertise</p><br><p>- Familiarity with observability stacks (OpenTelemetry, Datadog) and cost-optimization strategies</p><br> </div>