Fire Fighting EngineerJobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Key Responsibilities Lead the entire ML lifecycle from data collection and analysis to model deployment, monitoring, and optimization. Apply deep learning and NLP techniques to develop solutions, potentially enhancing systems like search or recommendation engines. Design and implement end-to-end ML pipelines, incorporating MLOps best practices for CI/CD, containerization (Docker, Kubernetes), and cloud deployment ( AWS , GCP, Azure). Utilize LLM knowledge, including prompt engineering and fine-tuning, to build advanced generative AI applications and conversational AI solutions. Perform comprehensive data analytics, including statistical analysis and feature engineering, to inform model development and extract actionable insights from large datasets. Write production-quality, robust code in Python (and potentially other languages like Java or Scala), ensuring code quality through reviews and testing. Collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to translate business requirements into technical ML solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Proven experience as a Machine Learning Engineer with a strong portfolio of deployed production models. Proficiency in Python and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in data science methodologies, statistical analysis, and data analytics. Hands-on experience with MLOps tools and practices for managing the ML application lifecycle. Strong understanding of NLP and experience with LLMs and prompt engineering techniques. Solid software engineering background with knowledge of data structures, algorithms, and system design. Excellent problem-solving, communication, and collaboration skills.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Software Engineer designs, develops, and maintains scalable, secure, and high-quality software solutions across backend and frontend components. This role collaborates closely with cross-functional teams to deliver reliable applications, support cloud deployment, and continuously improve performance, quality, and operational stability.</p><p>Responsibilities:</p><ul><li>Design, develop, and maintain scalable software solutions across backend and frontend components.</li><li>Build and consume APIs and services using modern programming languages and frameworks.</li><li>Collaborate with product managers, designers, and engineers to translate requirements into technical solutions.</li><li>Write clean, maintainable, and well-tested code following engineering best practices.</li><li>Optimize application performance, security, and reliability.</li><li>Participate in code reviews, testing, and continuous improvement initiatives.</li><li>Support deployment, monitoring, and troubleshooting of applications in cloud environments.</li><li>Contribute to documentation, technical standards, and knowledge sharing within the team.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience). 4+ years of experience in software development (frontend, backend, or full stack). Outstanding English communication, both verbal and non-verbal. Proficiency in at least one backend language (e.g., Python, TypeScript, Go) and modern frontend frameworks. Experience with RESTful APIs and database technologies (SQL and/or NoSQL). Familiarity with cloud platforms (Azure or AWS) and CI/CD pipelines. Understanding of version control systems (Git) and collaborative development workflows. Knowledge of testing practices, software design principles, and security fundamentals. Strong problem-solving skills, communication abilities, and a collaborative mindset. Fluency in English is a must.</p><p></p></section>

Job Summary We are seeking a Network Engineer to support SD-WAN and network security initiatives, including assisting with migrations from Cisco SD-WAN environments to Palo Alto solutions. This role will focus on implementation support, configuration, troubleshooting, and day-to-day network operations in collaboration with senior engineers and cross-functional teams. Responsibilities Assist with the migration of Cisco Viptela or Cisco Meraki SD-WAN environments to Palo Alto solutions. Configure, monitor, and maintain network and security devices. Support network troubleshooting and resolve connectivity or performance issues. Work with internal teams to ensure smooth deployment and implementation activities. Assist in maintaining network documentation, configurations, and diagrams. Monitor network performance and escalate complex issues when needed. Support security and compliance best practices across the network environment. Participate in after-hours maintenance windows when required. Qualifications2–4 years of experience in network engineering or network support roles. Hands-on experience with at least some of the following technologies:Cisco Meraki Cisco SD-WAN/Viptela Basic wireless networking Understanding of routing, switching, TCP/IP, and network troubleshooting. Familiarity with network security concepts and firewall policies. Ability to follow implementation plans and work collaboratively with senior engineers. Good communication and documentation skills. Associate-level certifications such as CCNA, PCNSA, or equivalent are a plus, but not required. Preferred Skills Experience supporting SD-WAN environments. Exposure to cloud networking or SASE solutions. Experience working in enterprise or MSP environments.

Senior Python Engineer – Multi-Agent AI (AWS, Lang Graph)<br>About the Role We are looking for a Senior Python Engineer to design and build enterprise-grade multi-agent AI systems on AWS. In this role, you will architect and develop intelligent agent solutions using Lang Graph, Lang Chain, and AWS Bedrock Agent Core Runtime, focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration. You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide. Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class e Commerce, Digital Marketing, and IoT solutions. As a Senior Python Engineer, you will join the Core Architecture Team, contributing to the design and implementation of a modern Digital Engineering Enterprise Platform. The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.<br>Responsibilities Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, Lang Graph, and Lang Chain. Build scalable agent workflows leveraging AWS Bedrock Agent Core Runtime. Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures. Design stateful workflow execution using Lang Graph checkpointing, recovery, and persistence mechanisms. Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows. Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows. Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication. Implement memory, context management, and persistence strategies for AI agents. Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments. Collaborate with platform, security, Dev Ops, and product teams to deliver production-ready AI solutions. Define engineering standards, testing strategies, and operational best practices for agent-based applications. Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS. Requirements Bachelor's degree in computer science, Software Engineering, or a related field.5+ years of professional Python software engineering experience. Hands-on experience building multi-step agent workflows with Lang Graph. Strong experience with Lang Chain. Experience with AWS Bedrock Agent Core Runtime. Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures. Experience implementing Lang Graph checkpointing and state management. Knowledge of Human-in-the-Loop (HITL) workflow design. Experience with Agent-to-Agent (A2A) delegation through Agent Gateway. Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar. Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery. Experience building scalable, cloud-native applications on AWS. Strong problem-solving, communication, and collaboration skills.<br>Nice to Have Experience evaluating AWS Agent Core Runtime maturity and enterprise adoption. Hands-on experience with AWS Bedrock Memory API. Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems. Experience with AI observability, monitoring, and production operations. Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.<br>Why Join UsWork on enterprise-scale AI initiatives for a global industry leader. Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies. Influence architecture decisions and engineering best practices across large-scale platforms. Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions. Opportunity to shape the future of enterprise AI orchestration in production environments.

Software Development Engineer in Test (SDET) – Web, Mobile & AI-Assisted Quality Engineering<br>About the Role We are seeking a highly skilled Software Development Engineer in Test (SDET) to help evolve and scale quality engineering practices for a large-scale photo and media hosting platform across web and mobile applications. Our team is transitioning toward a modern, automation-first and AI-assisted quality engineering model while maintaining the flexibility to perform hands-on manual testing when required. This role combines strong software engineering expertise with practical quality assurance experience and offers the opportunity to influence the future of testing through automation, AI-assisted workflows, and quality engineering best practices. The ideal candidate is passionate about software quality, comfortable building and maintaining test automation frameworks, experienced with modern web and mobile technologies, and capable of leveraging AI tools to accelerate testing activities while ensuring reliability and accuracy.<br>Project Overview The project focuses on enhancing and scaling engineering processes for a leading photo and media hosting platform across web and mobile applications. You will work closely with software engineers, product managers, and QA stakeholders to improve product quality, automation coverage, release confidence, and AI-assisted testing workflows.<br>Key Responsibilities Design, develop, and maintain scalable automated test frameworks and infrastructure. Build and maintain automated test suites for web, mobile, API, and end-to-end user workflows. Develop and expand mobile automation coverage using Maestro. Create and maintain web automation suites using modern automation tools such as Playwright and Meticulous. Support AI-assisted test authoring workflows, including prompt engineering and agent skill maintenance. Review, validate, troubleshoot, and optimize AI-generated test cases and automation outputs. Perform exploratory, regression, release, and manual testing activities when necessary. Collaborate with developers to improve application testability and automation coverage. Integrate automated testing into CI/CD pipelines and release processes. Investigate, diagnose, and resolve issues across application, infrastructure, and automation layers. Contribute to quality engineering standards, automation best practices, and continuous process improvements. Partner closely with software engineers, product managers, and QA stakeholders to drive product quality initiatives.<br>Required Qualifications Strong experience with Type Script. Strong software engineering and coding skills. Proven ability to design, develop, and maintain automation frameworks independently. Experience testing modern web applications and React Native mobile applications. Hands-on experience with web automation tools such as Playwright and/or Meticulous. Experience with mobile automation tools, including Maestro. Experience using AI-assisted development and testing tools such as Git Hub Copilot, Claude, or similar platforms. Ability to review, validate, troubleshoot, and improve AI-generated test artifacts. Understanding of prompt engineering, agent-based workflows, and AI-assisted testing methodologies. Hands-on experience with manual QA, exploratory testing, and regression testing. Strong understanding of software testing methodologies, SDLC, and quality engineering principles. Experience testing APIs and backend integrations. Experience working with CI/CD platforms such as Git Hub Actions, Jenkins, Circle CI, or similar tools. Strong knowledge of Git and modern software development workflows. Excellent debugging, analytical, and problem-solving skills. Experience working within Agile development environments.<br>Preferred Qualifications Experience building automation frameworks from the ground up. Experience testing native Android and i OS applications. Hands-on experience with Appium, Detox, or advanced Playwright implementations. Knowledge of test architecture, automation design patterns, and quality engineering best practices. Experience implementing AI-assisted QA workflows within engineering organizations. Previous experience in SDET, Automation QA Engineer, or Quality Engineering roles. Experience working in large-scale consumer-facing platforms or Saa S products.<br>Why Join Us? Work on a large-scale photo and media hosting platform used by a global audience. Help shape the future of AI-assisted quality engineering and test automation. Influence automation strategy across both web and mobile ecosystems. Collaborate with experienced engineers in a modern, quality-focused environment. Contribute to innovative testing practices that improve release confidence, product quality, and engineering efficiency. Opportunity to work with cutting-edge automation frameworks, AI tools, and modern development practices.

Job summary:Responsible for planning, executing, and monitoring engineering projects within the manufacturing facility — from design through final handover — ensuring adherence to timelines, budgets, quality, and safety standards.<br>Key Responsibilities:• Develop project plans (scope, timeline, budget) and oversee execution• Coordinate across departments (Production, Maintenance, Quality, Procurement)• Supervise installation and commissioning of new equipment and production lines• Prepare periodic technical reports to track project progress• Ensure compliance with safety and quality standards (ISO, HSE)• Manage relationships with external contractors and suppliers• Troubleshoot technical issues arising during project execution• Contribute to continuous improvement and cost-reduction initiatives<br>Qualifications:• Bachelor’s degree in Engineering (Mechanical, Electrical, Industrial, or related field)• +2 years of experience managing engineering projects in a manufacturing environment• Proficiency in Auto CAD, MS Project, and ideally SAP• Strong time management, negotiation, and communication skills• Fluent English (especially important given international operations)• PMP certification is a plus

???? Key Responsibilities:<br>Oversee and execute preventive and corrective electrical maintenance for production lines and machinery. Troubleshoot and repair sudden electrical faults to minimize production downtime. Work with electrical control panels, PLCs, motors, drives, and automation systems. Handle new electrical installations and ensure they meet safety standards. Strictly adhere to occupational health and safety regulations.<br>???? Qualifications & Requirements:<br>Bachelor’s degree in Electrical Engineering (Power / Control / Automation). Experience: 1 to 2 years of hands-on experience in factory maintenance. Strong ability to read and interpret electrical schematics and drawings. Good knowledge of classic control systems and PLC troubleshooting. Strong problem-solving skills and ability to work under pressure. Flexibility to work in shifts (if required).<br>What We Offer:Competitive salary + incentives Social & life insurance Private medical insurance Transportation provided Working hours: 8:30 AM – 5:30 PMFriday & Saturday off???? Apply:<br>Send your CV with the job title in the subject to:???? mahmoud.osama@elaminforgelatin.com

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> Civil Engineering Intern </span><p>We are looking for a motivated Civil Engineering Intern to join our team and support onsite project execution and construction activities within a dynamic working environment.</p><br> Key Responsibilities <ul> <li>Support the daily management and follow-up of onsite project execution activities.</li> <li>Monitor contractors’ performance and ensure work progress is aligned with project timelines.</li> <li>Follow up on onsite activities while ensuring quality standards and conformity to specifications.</li> <li>Coordinate execution activities with Safety, Security, and other related departments.</li> <li>Assist in monitoring project progress and preparing regular progress reports.</li> <li>Support in determining and defining project scope, deliverables, and execution requirements.</li> <li>Participate in overseeing construction projects from initiation until completion.</li> <li>Contribute to ensuring projects are delivered within timeline, budget, quality, and safety standards.</li> </ul> Required Qualifications <ul> <li>Civil Engineering student.</li> <li>Good computer skills, especially MS Office applications.</li> <li>Good English communication skills.</li> <li>Strong analytical and problem-solving abilities.</li> <li>Good communication and teamwork skills.</li> <li>Eagerness to learn and gain hands-on site experience.</li> </ul> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description</span><p><b>Are You Ready to Make It Happen at Mondelēz International?</b></p><br><p><b>Join our Mission to Lead the Future of Snacking. Make It With Pride.</b></p><br><p>You assist in planning, developing and execution of capital projects, technical development, feasibility perspectives of engineering-related activities in the supply chain and capital-expense project execution to support growth, world-class manufacturing and productivity with the highest level of quality, safety and environmental requirements. You help ensure sure that Mondelēz business and innovation processes in project management and Mondelēz standards in execution are followed.</p><br><p><b>How you will contribute</b></p><br><p>The role supports capital project execution, and you will be accountable for the quality of the results and execution of capital projects using Mondelēz standards, and business and innovation processes in project management. You will help define and deliver the capital and technical agenda during the development phase of capital investments with stakeholders so that accurate budgets, plans and fit-for-purpose technical solutions are provided and develop the capital budget according to the contract and forecast cash flow. You will also help ensure that applicable engineering developments and standards are properly implemented, and support the development and implementation of state-of-the-art processes and equipment strategies to optimize resources, harmonize assets and rollout best practices.</p><br><p><b>What you will bring</b></p><br><p>A desire to drive your future and accelerate your career. You will bring experience and knowledge in:</p><br><ul><li>Engineering or operations</li><li>Working effectively and under pressure to meet deadlines</li><li>Analysis</li><li>Project management</li></ul><p><b><u>More about this role</u></b></p><br><p><span>As a Project Engineer, you will lead the design, installation, and commissioning of capital projects across our manufacturing landscape. You aren't just managing timelines; you are ensuring that our production lines for iconic brands like Clorets, Halls, and Trident are optimized for safety, quality, and sustainability. You will bridge the gap between regional engineering strategies and local plant execution.</span></p><br><p><b>What you need to know about this position:</b></p><br><ul><li><span>CAPEX Management: You will be responsible for the full lifecycle of engineering projects, from initial feasibility studies and budgeting to final handover.</span></li><li><span>Vertical Startups: You will implement "Early Management" (EM) pillars to ensure new equipment reaches full speed and efficiency immediately upon commissioning.</span></li><li><span>Cross-Functional Leadership: You will collaborate closely with Health, Safety &amp; Environment (HSE), Quality, and Research &amp; Development (R&amp;D) to ensure all technical solutions meet Mondelēz’s rigorous global standards.</span></li></ul><p><b>What extra ingredients you will bring:</b></p><br><ul><li><span>A "Safety First" Mindset: An unwavering commitment to personnel and food safety (designing for hygiene).</span></li><li><span>TPM Expertise: Experience in the Early Management pillar of Total Productive Maintenance to drive out losses before they occur.</span></li><li><span>Agility: The ability to pivot when production priorities shift, ensuring projects stay on track without disrupting current manufacturing flows.</span></li><li><span>Stakeholder Influence: The "soft skills" to manage external vendors and internal plant leadership effectively.</span></li></ul><p><b>Education / Certifications:</b></p><br><ul><li><span>Bachelor’s degree in engineering (Mechanical, Electrical, or Industrial preferred).</span></li><li><span>PMP (Project Management Professional) certification or equivalent is plus.</span></li><li><span>Lean Six Sigma Green or Black Belt certification is plus.</span></li></ul><p><b>Job specific requirements:</b></p><br><ul><li><span>Experience: 1–3+ years of engineering experience in FMCG, Food Beverage environment or Heavy industry.</span></li><li><span>Technical Knowledge: Proficiency in AutoCAD and MS Project. understanding of automation, PLC systems, and MEP works is a plus.</span></li></ul><p><b>Travel requirements:</b></p><br><p><span>Frequency: Up to 10% travel may be required, depending on the scope of regional projects and the need to visit equipment manufacturers for Factory Acceptance Testing (FAT).</span></p><br><p><b>Work schedule:</b></p><br><p><b>Full-Time</b></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 EngineeringScience &amp; Engineering </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Site Reliability Engineer to ensure the availability, reliability, and scalability of platforms and applications by combining software engineering with operational excellence. This role focuses on monitoring, automation, and proactive reliability engineering while working closely with development teams to design resilient systems and reduce manual operational effort. What you ll do _x000D_ Monitor application and platform availability and reliability, ensuring agreed service levels are met. Use software engineering practices to automate operational tasks and achieve low touch or zero touch operations. Design and enhance system and software architectures to improve scalability, capacity, performance, and reliability. Define, implement, promote, and monitor service level objectives (SLOs) and service level indicators (SLIs) in collaboration with product owners and development teams. Write automation code for provisioning and operating infrastructure at scale. Partner with development teams to ensure reliability and scalability are built into applications from the design stage. Build and maintain CI/CD pipelines and automation for deploying applications into production environments. Participate in an on call rotation to support applications and infrastructure. Investigate incidents, perform root cause analysis, and document post incident reviews with remediation recommendations. Document, share, and actively promote knowledge across teams and stakeholders. Engage with internal and external stakeholders to communicate complex technical topics and support the adoption of improved technology solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Hold a Bachelor s degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline. Have a minimum of 3 years professional experience in software engineering and/or IT support roles. Demonstrate strong analytical thinking and structured problem solving skills. Are adaptable, open minded, and comfortable working in environments with rapidly evolving technologies. Have experience working within multicultural and geographically distributed teams. Are able to navigate complex organisational environments and translate complexity into practical, simple solutions. Bring hands on experience with Google Cloud Platform and its managed services. Have coding experience using languages such as Python, Java, JavaScript, or Scala. Possess strong Linux and system administration skills. Show solid understanding of networks, databases, DNS, proxies, security, and web application architectures. Are familiar with SQL, relational databases, and NoSQL technologies such as MongoDB. Have experience with containerisation and orchestration tools including Docker and Kubernetes. Are comfortable working with infrastructure as code, CI/CD pipelines, monitoring tools, and version control systems. Work in an agile environment and demonstrate a delivery focused, customer centred mindset with strong English communication skills.</p><p>Not a perfect fit? _x000D_ Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking a highly skilled Data Engineering &amp; Warehousing Engineer with 3 11 years of experience to design, develop, and maintain scalable data platforms and enterprise data warehouse solutions. The ideal candidate will have hands-on expertise in building ETL/ELT pipelines, data integration, cloud-based data platforms, and big data processing technologies. You will play a key role in enabling reliable, high-performance analytics and business intelligence solutions. Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured data. Build and maintain enterprise data warehouses, data lakes, and modern data platforms. Develop real-time and batch data processing solutions. Integrate data from multiple internal and external sources while ensuring data quality and governance. Collaborate with Data Scientists, BI Developers, and business stakeholders to support analytical requirements. Optimize data storage, query performance, and pipeline reliability. Implement data security, monitoring, and governance best practices. Troubleshoot and resolve data pipeline and platform issues. Participate in architecture discussions and contribute to data platform modernization initiatives. Required Technical Skills Cloud Data Platforms Hands-on experience with Google BigQuery and Dataflow and Dataproc and Pub/Sub . Experience with Azure Synapse and Azure Data Factory . Experience with Amazon Redshift and AWS Glue . Data Processing &amp; Streaming Strong experience with Apache Spark and Apache Kafka . Experience building batch and real-time data processing pipelines. Data Transformation Hands-on experience with dbt or Oracle Data Integrator (ODI) for data transformation and orchestration. Experience implementing ETL/ELT best practices and reusable data models. Databases &amp; Data Warehousing Strong experience with Oracle or PostgreSQL . Expertise in SQL, relational database design, performance tuning, and query optimization. Data Engineering Experience with data modeling, data governance, metadata management, and data quality frameworks. Knowledge of dimensional modeling and modern data warehouse architectures. Preferred Skills Experience with cloud-native data lake and lakehouse architectures. Knowledge of CI/CD pipelines and Infrastructure as Code (IaC). Familiarity with containerization technologies such as Docker and Kubernetes. Experience supporting machine learning and analytics workloads. Cloud certifications on AWS, Microsoft Azure, or Google Cloud Platform are a plus. Key Technology Stack Google Cloud Data Services: BigQuery and Dataflow and Dataproc and Pub/Sub Azure Data Services: Azure Synapse and Azure Data Factory AWS Data Services: Amazon Redshift and AWS Glue Data Processing: Apache Spark and Apache Kafka Data Transformation: dbt or Oracle Data Integrator (ODI) Databases: Oracle or PostgreSQL Programming: SQL and Python Cloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><p>Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.</p><p>3 11 years of professional experience in Data Engineering, Data Warehousing, or Big Data technologies.</p><p>Strong programming and scripting skills using SQL, Python, or similar languages.</p><p>Excellent analytical and problem-solving abilities.</p><p>Experience working in Agile/Scrum development environments.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Every great product is built on quality—and every exceptional release starts with someone who refuses to let the details slip.<br> If you thrive on uncovering edge cases, validating complex user journeys, and ensuring software performs exactly as intended, this opportunity was designed for you.<br> Our client, an innovative SaaS company, is looking for a QA Engineer to take ownership of quality assurance for a key web-based platform during an exciting project-based engagement.<br> This is a remote, one-time contract offering the opportunity to make a tangible impact on a live product, with the potential for future collaborations based on performance and upcoming projects.<br> Why This Opportunity Matters Quality isn't the final step in development; it's what defines the user experience.<br> As the QA Engineer on this project, you'll play a critical role in ensuring that every feature released meets the highest standards of functionality, reliability, and usability.<br> You'll work across complete product workflows, validating both customer-facing and administrative experiences while partnering closely with Product and Engineering teams to deliver confident, high-quality releases.<br> Your work will directly influence product stability, customer satisfaction, and the overall success of the platform.<br> About Our Client Our client is a growing SaaS organization focused on building reliable, user-centric AI solutions.<br> They believe exceptional AI products are created through close collaboration, continuous improvement, and a strong commitment to quality at every stage of development.<br> Working alongside a collaborative product and engineering team, you'll contribute to meaningful product releases while helping shape a seamless experience for end users.<br> What's In It For You The opportunity to own quality assurance for a meaningful SaaS product.<br> Close collaboration with experienced Product and Engineering teams.<br> Exposure to complex user workflows and modern web application testing.<br> A fully remote, project-based engagement offering flexibility and meaningful technical impact.<br> The possibility of future project-based collaborations based on your performance and business needs.<br> Engagement Details Position: QA Engineer Industry: SaaS Employment Type: Contract – One-Time Project-Based Engagement Location: Egypt (Remote) Ready to Make Quality Your Signature?<br> If you're passionate about delivering exceptional software experiences, enjoy solving complex testing challenges, and want your work to have a direct impact on product success, we'd love to hear from you.<br> Apply today and help deliver AI Solutions that users can trust from the very first click.<br> What You'll Own As the QA Engineer for this engagement, you'll take ownership of the testing process from planning through release validation.<br> You'll ensure every feature performs as expected while proactively identifying opportunities to improve product quality.<br> In this role, you will: Execute comprehensive end-to-end, functional, regression, and exploratory testing across the platform.<br> Validate complete user journeys spanning both customer-facing and administrative experiences.<br> Design and maintain structured test cases, testing checklists, and detailed test scenarios.<br> Identify, reproduce, prioritize, and clearly document software defects with well-defined expected and actual results.<br> Verify bug fixes and perform regression testing to ensure new enhancements don't introduce unintended issues.<br> Collaborate closely with Product Managers, Engineers, and cross-functional stakeholders to clarify requirements and strengthen release quality.<br> Test complex workflows involving multiple user roles, permissions, and business processes.<br> Provide actionable feedback that enhances usability, functionality, and the overall user experience.<br> Help ensure every release meets quality expectations before deployment.<br> What Makes You Successful You'll thrive in this role if you're naturally curious, analytical, and passionate about delivering software that users can trust.<br> We're looking for someone who brings: 2–4 years of hands-on experience in Software Quality Assurance, primarily within web applications.<br> Strong expertise in end-to-end, functional, regression, and exploratory testing methodologies.<br> The ability to create clear, structured test scenarios, comprehensive test cases, and detailed bug reports.<br> Exceptional attention to detail with a methodical approach to problem-solving.<br> Experience testing platforms that include multiple workflows, user roles, permissions, and interconnected features.<br> Confidence evaluating both individual features and complete business processes from an end-user perspective.<br> Familiarity with API testing and a solid understanding of backend systems and integrations.<br> Strong communication skills and the ability to collaborate effectively within cross-functional Agile teams.<br> Experience working in fast-paced product environments where quality and speed go hand in hand.<br> You'll stand out even further if you have experience with tools such as Jira, TestRail, Azure DevOps, or similar testing platforms, along with exposure to browser developer tools, REST APIs, or automation testing frameworks.<br></span> </div>

Responsibilities Review mechanical designs, drawings, and specifications to verify conformance with applicable codes, standards, and project requirements Conduct on-site inspections of mechanical installations, equipment, and systems to assess workmanship, materials, and performance Coordinate with testing laboratories to oversee quality control testing of mechanical systems, including functionality, efficiency, and safety testing Identify quality issues and collaborate with the project team to develop and implement corrective actions Maintain detailed quality control records, reports, and documentation Provide technical guidance and training to field mechanics on quality control best practices Work closely with project managers to ensure mechanical quality objectives are achieved within schedule and budget<br>Qualifications Bachelor's degree in Mechanical Engineering or a related field Strong working knowledge of relevant mechanical codes, standards, and industry regulations Proficient in reading and interpreting mechanical drawings, schematics, and specifications Excellent problem-solving, communication, and collaboration skills

<h3>Maintenance Operations</h3><ul><li>Plan and supervise preventive and corrective maintenance activities.</li><li>Ensure all equipment and facilities are maintained in good operating condition.</li><li>Monitor maintenance schedules and ensure timely completion.</li><li>Respond to critical breakdowns and operational issues.</li></ul><h3>Equipment &amp; Facility Management</h3><ul><li>Monitor the performance of electrical, mechanical, HVAC, refrigeration, and facility systems.</li><li>Ensure proper maintenance of company assets and equipment.</li><li>Conduct regular inspections to identify maintenance needs.</li></ul><h3>Team Supervision</h3><ul><li>Supervise maintenance technicians and external contractors.</li><li>Allocate tasks and monitor work quality.</li><li>Provide technical guidance and support to the maintenance team.</li></ul><h3>Planning &amp; Reporting</h3><ul><li>Prepare maintenance plans and schedules.</li><li>Track maintenance KPIs and equipment performance.</li><li>Prepare maintenance reports and recommend improvement actions.</li></ul><h3>Cost Control</h3><ul><li>Monitor maintenance expenses and optimize resource utilization.</li><li>Control spare parts consumption and inventory.</li><li>Support budget preparation and cost-saving initiatives.</li></ul><h3>Health, Safety &amp; Compliance</h3><ul><li>Ensure compliance with HSE regulations and company policies.</li><li>Conduct risk assessments and ensure safe work practices.</li><li>Support emergency maintenance and business continuity plans.</li></ul>

Responsibilities Review mechanical designs, drawings, and specifications to verify conformance with applicable codes, standards, and project requirements Conduct on-site inspections of mechanical installations, equipment, and systems to assess workmanship, materials, and performance Coordinate with testing laboratories to oversee quality control testing of mechanical systems, including functionality, efficiency, and safety testing Identify quality issues and collaborate with the project team to develop and implement corrective actions Maintain detailed quality control records, reports, and documentation Provide technical guidance and training to field mechanics on quality control best practices Work closely with project managers to ensure mechanical quality objectives are achieved within schedule and budget<br>Qualifications Bachelor's degree in Mechanical Engineering or a related field Strong working knowledge of relevant mechanical codes, standards, and industry regulations Proficient in reading and interpreting mechanical drawings, schematics, and specifications Excellent problem-solving, communication, and collaboration skills

Senior Machine Learning Engineer (Generative AI)<br>About the Role We are looking for a Senior Machine Learning Engineer to support the development of AI-driven solutions within the Global Digital Marketing team of a leading agricultural company. In this role, you will design and implement intelligent applications powered by Generative AI, Large Language Models (LLMs), and AI agents, helping to automate business processes and enhance digital marketing capabilities. You will collaborate with cross-functional teams to build scalable AI solutions, integrate enterprise data sources, and deliver production-ready applications using modern AI frameworks and cloud technologies. This is an exciting opportunity to work on innovative AI initiatives that drive business transformation at a global scale.<br>Project Overview Our customer is a global leader in the agricultural industry, committed to driving innovation through digital transformation and advanced AI technologies. The Global Digital Marketing team is building next-generation AI solutions that improve customer engagement, automate business processes, and enable intelligent decision-making across enterprise platforms. As a Senior Machine Learning Engineer, you will play a key role in designing and delivering enterprise-grade Generative AI applications, intelligent agents, and Retrieval-Augmented Generation (RAG) solutions integrated with large-scale enterprise systems.<br>Key Responsibilities Design, develop, and deploy scalable LLM-based intelligent agents and AI-powered applications. Design conversational AI solutions and contribute to solution architecture. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques. Integrate Large Language Models with enterprise data sources and APIs. Develop semantic workflows using frameworks such as Lang Chain, Lang Graph, Semantic Kernel, and Copilot Studio. Automate internal business processes using n8n and AI-powered workflows. Collaborate with Dev Ops, backend engineers, product owners, and business stakeholders to deliver production-ready AI solutions. Optimize prompt engineering strategies, model performance, and AI application quality. Contribute to AI deployment best practices, model evaluation, and continuous improvement initiatives. Support the adoption of modern AI development tools and engineering practices.<br>Required Qualifications Education Bachelor's degree in computer science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field. Technical Skills Proven experience developing and deploying Generative AI or LLM-based applications. Strong prompt engineering skills using Large Language Models such as:Open AIAzure Open AIClaude LLaMAExperience with AWS AI services, including:Amazon Bedrock Agent Core Hands-on experience with:Lang Chain Lang Graph Similar LLM orchestration frameworks Strong understanding of:Retrieval-Augmented Generation (RAG) Semantic Search Vector Embeddings Vector Databases Experience designing and consuming REST APIs and microservices. English proficiency at B2 level or higher, with the ability to communicate effectively with international stakeholders. Professional Experience Proven experience delivering production-ready AI and Machine Learning solutions. Experience integrating AI applications with enterprise systems and business workflows. Strong software engineering and problem-solving skills. Experience collaborating within Agile development teams.<br>Nice to Have Experience with n8n workflow automation. Semantic Kernel. Microsoft Copilot Studio. Experience supporting Digital Marketing solutions or Mar Tech platforms. SQL proficiency. Experience using AI-assisted development tools such as:Claude Code Git Hub Copilot Similar AI coding assistants Experience with MLOps or AI deployment pipelines.<br>Why Join Us? Join a global team delivering innovative AI solutions for one of the world's leading agricultural companies. Work with cutting-edge Generative AI technologies, intelligent agents, and enterprise-scale AI platforms. Collaborate with experienced AI engineers, architects, and business stakeholders on impactful digital transformation initiatives. Gain hands-on experience building production-ready AI systems using the latest cloud and LLM technologies. Enjoy excellent opportunities for professional growth while expanding your expertise in Machine Learning, MLOps, and enterprise AI engineering.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Talent 360 is looking for a " Senior Data Fabric &amp; AI Engineer" to join their growing team! If you're passionate about artificial intelligence, modern data platforms, and building scalable data solutions, this is an excellent opportunity to advance your career in a dynamic and collaborative environment. As a Senior AI &amp; Data Fabric Engineer , you will be responsible for designing, developing, and optimizing AI-powered data solutions and Data Fabric architectures. You will build and maintain scalable data pipelines, integrate AI and machine learning capabilities into enterprise data platforms, and collaborate with cross-functional teams to deliver secure, high-performing, and data-driven solutions that support business and analytics initiatives.</p><p>Lead technical discovery and data maturity assessments with enterprise customers across Saudi Arabia and Egypt</p><p>Design and present data platform architectures using modern tools (Microsoft Fabric, Azure Data Services, OpenMetadata, SQLMesh)</p><p>Create compelling business cases that connect data governance and AI capabilities to measurable business outcomes</p><p>Develop technical proposals, solution architectures, and pricing models for data and AI engagements</p><p>Deliver demonstrations of AI agent workflows, agentic automation, and conversational data access patterns</p><p>Support Microsoft co-sell motions for Azure AI, Microsoft Fabric, and Copilot-related opportunities</p><p>Collaborate with the Product Developer to align presales demonstrations with current product capabilities</p><p>Contribute to thought leadership content: whitepapers, case studies, and technical blog posts</p><p>Track competitive landscape across data governance and AI platforms (Informatica, Collibra, Databricks, Coalesce)</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3-5 years of experience in data engineering, data architecture, or AI/ML presales</li><li>Understanding of modern data stack: data warehouses, data lakes, ETL/ELT pipelines, data governance</li><li>Familier with data services (Azure Data Factory, Synapse, Microsoft Fabric, Purview or similar )</li><li>Familiarity with AI/ML concepts and practical applications in enterprise settings</li><li>Experience creating data architecture diagrams and technical documentation</li><li>Excellent presentation and storytelling skills, capable of translating technical concepts for executive audiences</li><li>English and Arabic fluency</li></ul><p></p></section>

Senior Python Backend Engineer (AWS Agent Core, Multi-Agent Integration)<br>About the Role We are looking for a Senior Python Backend Engineer to design, build, and integrate backend services that enable secure and scalable agent-to-agent (A2A) communication on AWS Agent Core platforms. In this role, you will develop high-performance backend services, implement modern communication protocols, and build the infrastructure that powers intelligent multi-agent ecosystems. The ideal candidate has strong Python backend engineering experience, expertise in asynchronous and event-driven architectures, and hands-on knowledge of API design, distributed systems, and modern agent integration patterns.<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide. Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class e Commerce, Digital Marketing, and IoT solutions. As a Senior Python Backend Engineer, you will become part of the Core Architecture Team, contributing to the development of a modern Digital Engineering Enterprise Platform. The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.<br>Responsibilities Design, develop, and maintain backend services using Python and the AWS Agent Core SDK. Build and integrate Agent-to-Agent (A2A) communication using AWS Agent Core Runtime and Gateway. Implement agent registration, discovery, target configuration, and lifecycle management. Develop and maintain Agent Card definitions and .well-known/agent.json endpoints. Implement A2A communication protocols using JSON-RPC 2.0 and event-driven architectures. Design and support communication workflows between caller and target agents. Develop asynchronous communication using Server-Sent Events (SSE), webhooks, and push notifications. Build scalable REST APIs and backend services that enable secure and reliable agent interaction. Implement event lifecycle management, task status tracking, and execution monitoring. Ensure high availability, scalability, security, and performance across distributed backend services. Collaborate with AI, platform, Dev Ops, and security teams to support enterprise multi-agent integration. Troubleshoot, test, monitor, and optimize backend services in production environments. Produce technical documentation, API specifications, and integration standards for agent connectivity.<br>Requirements Bachelor's degree in computer science, Software Engineering, or a related field.5+ years of professional backend development experience using Python or Go. Strong experience developing asynchronous backend applications using Python. Experience designing and implementing REST APIs, including endpoint development and API routing. Experience with AWS Agent Core Runtime, Agent Core Gateway, or similar agent integration platforms. Experience implementing Agent-to-Agent (A2A) communication patterns. Knowledge of JSON-RPC 2.0, Server-Sent Events (SSE), webhooks, and event-driven architectures. Experience developing Agent Card JSON schemas and implementing .well-known/agent.json endpoints. Strong understanding of microservices, distributed systems, and backend integration patterns. Excellent problem-solving, communication, and collaboration skills.<br>Nice to Have Experience validating AWS Agent Core Gateway template integrations. Experience with AWS Bedrock multi-agent invocation patterns. Hands-on experience implementing SSE task lifecycle events and push notification workflows. Experience with Open Telemetry and distributed tracing using AWS Distro for Open Telemetry (ADOT). Familiarity with observability, monitoring, CI/CD pipelines, and cloud-native backend architectures.<br>Why Join UsBuild the backend infrastructure powering next-generation enterprise AI and multi-agent systems. Work with cutting-edge AWS Agent Core technologies and modern distributed architectures. Collaborate with experienced AI, platform, and cloud engineering teams on global-scale solutions. Contribute to engineering standards, integration frameworks, and best practices for enterprise AI platforms. Play a key role in shaping scalable, secure, and production-ready agent communication services.

<p><h4>About us</h4> <p>Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.</p> <p>As a site construction field supervision engineer you will provide structural engineering services to Worley and its customers, including technical support within the structural construction supervision team on a large-scale project.</p> <h4>Duties and responsibilities</h4> <ul> <li>Monitors construction of NPPs and associated structures; develops comments pertaining to non-compliance with design.</li> <li>Supports the client in civil construction site inspections.</li> <li>Participates in safety, environmental and hazard assessments.</li> <li>Reviews, comments and prepares drafts of client correspondence pertaining to site construction.</li> <li>Reports on project performance against the baseline plan.</li> <li>Assists in ensuring that no technical changes are implemented without prior approval as per EPC contract procedure and regulatory requirements.</li> <li>Represents Worley at internal and external meetings on the project.</li> <li>Reviews as-built documentation for completeness as per EPC contract requirements and applicable standards.</li> </ul> <h4>Experience and qualifications</h4> <ul> <li>Bachelor’s degree in civil engineering or equivalent.</li> <li>Strong construction oversight skills; 8+ years of construction field supervision.</li> <li>Experience in multi-cultural teams.</li> <li>NPP or nuclear-related construction experience is required.</li> </ul> <h4>Special job requirements</h4> <ul> <li>Ability to analyze, communicate, influence and persuade.</li> <li>Strong written and verbal communication skills in English are essential, understanding of Russian is a plus.</li> <li>Proactive team player, proven to be effective in a multi-cultural environment.</li> </ul> <h4>Moving forward together</h4> <p>We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.</p> <p>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.</p> <p>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</p></p><p></p>

To ensure the on-time delivery of the proper material complete with verification documents to project Sites.<br>Job Responsibilities :<br>Receive PO acknowledgement and execution milestone Attend the Kick-off meeting, summarize the required documents and PO bassline schedule Maintain an expediting file for each PO, which would be used throughout the project period Monitor documents/drawings submittals and approvals from discipline engineer to facilitate on-time manufacture release. Monitor the supplier payment process to ensure the facilitates of our financial obligation to avoid negative/effect delays of suppliers. Monitor the supplier progress and highlight any deviation from the PO time and meet the project need date. Provide delay analysis for each package, in case of delay, and cost/time impact to be applied on the supplier Coordinate for the occurrence of FAT along with all Internal and External Stakeholders. Alignment with the Logistic for the delivery time<br>Job Requirements:<br>Qualification: Bachelor of Engineering, “Electrical, Mechanical, Civil”.+5 years of experience in related field. EPC project's experience is a must