وظائف هندسة النظم - تونس العاصمة تونس

<h3>ROLE OVERVIEW</h3>Hands-on senior full-stack engineering role combining AWS cloud-native development, technical ownership, architectural collaboration and delivery leadership.<br><br><h3>About the Role</h3> As a Senior Full-Stack Developer, you will play a key role in shaping the technical direction and implementation of partner-enabled services. You will work closely with Solution Architects, Project Managers, Full-Stack Developers, Designers, Product Managers, Business Analysts, and UI/UX specialists to enhance and scale the existing service portfolio, partner enablers, APIs, and developer platform. This is a hands-on position for an experienced engineer who can take technical ownership, contribute throughout the development lifecycle, and help create scalable, maintainable, secure, and high-performing solutions across back-end and front-end applications.<br><br><h3>Key Responsibilities</h3> <ul> <li><strong>Technical Leadership:</strong> Drive technical work together with the Project Manager and Solution Architect. Take ownership of development tasks, contribute hands-on, lead technical initiatives, conduct code reviews, provide technical guidance, and promote continuous improvement.</li> <li><strong>System Development &amp; Implementation:</strong> Design, develop, maintain, and evolve partner solutions, reusable components, service enablers, APIs, and full-stack applications using modern engineering practices.</li> <li><strong>Cross-Functional Collaboration:</strong> Work with architecture, product, design, business analysis, UI/UX, and development teams to understand requirements, define technical solutions, and ensure seamless front-end and back-end integration.</li> <li><strong>Architectural Support:</strong> Support the Solution Architect with application architecture and technical roadmap activities. Advocate scalable and maintainable designs and evaluate technologies and frameworks that can improve engineering efficiency and user experience.</li> <li><strong>Quality Engineering:</strong> Establish and follow coding standards, development best practices, automated testing strategies, code reviews, performance optimization, and engineering quality controls to deliver reliable solutions.</li> <li><strong>Documentation &amp; Knowledge Sharing:</strong> Create and maintain technical documentation, development guidelines, reusable patterns, and team standards. Participate in onboarding, workshops, and knowledge-sharing activities.</li> <li><strong>Innovation &amp; AI Enablement:</strong> Explore and apply modern engineering practices, including AI-assisted development, where appropriate to improve productivity, delivery speed, and software quality.</li> <li><strong>API &amp; Service Evolution:</strong> Help drive the evolution of partner service enablers and APIs, ensuring consistency, scalability, performance, reliability, and maintainability across applications.</li> </ul> <h3>Must-Have Skills</h3> <ul> <li>Strong professional experience with TypeScript and modern full-stack application development.</li> <li>Deep hands-on experience with AWS, including serverless architectures and cloud-native services.</li> <li>Hands-on development experience with Node.js and React.js.</li> <li>Experience designing, developing, and integrating REST APIs or comparable service interfaces.</li> <li>Experience with Infrastructure as Code (IaC); practical AWS CDK experience is strongly preferred.</li> <li>Understanding of scalable application architecture, reusable components, integration patterns, performance, and maintainability.</li> <li>Experience with automated testing, code reviews, coding standards, debugging, performance optimization, and software quality practices.</li> <li>Ability to take technical ownership and move development forward in collaboration with architects, project leads, and cross-functional stakeholders.</li> <li>Strong analytical problem-solving skills and the ability to break complex problems into manageable technical solutions.</li> <li>Fluent English communication skills, both written and spoken.</li> </ul> <h3>Good-to-Have Skills</h3> <ul> <li>Experience in the automotive industry or an automotive-related digital/service environment.</li> <li>Hands-on experience with AWS CDK, if IaC experience has primarily been gained with other tools.</li> <li>Experience with AI-assisted software development, generative AI tools, or other modern innovation practices that improve engineering productivity.</li> <li>Experience contributing to architectural design, technology evaluation, and application technical roadmaps.</li> <li>Experience creating reusable developer-platform components, partner enablers, SDKs, or service frameworks.</li> <li>Experience facilitating technical workshops, onboarding engineers, mentoring, or sharing development standards and patterns.</li> <li>Ability to create and present technical concepts and innovative ideas to both technical and non-technical stakeholders.</li> </ul> <h3>Location &amp; Work Model</h3> Primary location: Lindholmen Science Park, Gothenburg, Sweden. Hybrid work model, combining office-based work with working from home a few days each week. Candidates who are not EU citizens must hold a valid work permit for Sweden. Share<p><strong>Desired Candidate Profile</strong></p><h3>Education</h3> Bachelor's degree or higher in Computer Science, Software Engineering, Information Technology, or another relevant field.<br><br><h3>Experience</h3> Recommended experience level: 6+ years of professional software development experience, with several years of hands-on full-stack development in complex production environments. Candidates should demonstrate senior-level technical ownership and strong practical experience with the core stack rather than only listed skills or certifications. The original requirement specifies several years of experience in complex software development without stating an exact number. The 6+ years threshold is therefore an appropriate recruiting benchmark for the level of technical ownership, hands-on delivery, code review, architectural participation, and guidance expected in this role.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst is transforming the way businesses hire and manage global teams.<br> Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management.<br> We partner with some of the world’s most innovative companies, including Fortune 500 businesses and leading startups.<br> We are a small but strong team of 250+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships.<br> As a Senior AI Engineer, you will build production-grade conversational AI systems and has a strong foundation in modern AI technologies and hands-on experience designing, evaluating, testing, and deploying AI applications at scale.<br> Responsibilities Design, develop, and maintain production-grade conversational AI systems.<br> Own AI features from technical design through deployment and production support.<br> Design scalable AI architectures and agent workflows.<br> Build and maintain AI evaluation frameworks, benchmarks, and automated testing pipelines.<br> Continuously improve AI quality through experimentation, evaluation, and data-driven optimization.<br> Integrate multiple AI providers and select the best models for different use cases.<br> Monitor production AI systems and proactively improve reliability, quality, and performance.<br> Collaborate with product, frontend, and backend teams to deliver end-to-end AI features.<br> Review technical designs and contribute to engineering best practices.<br> Troubleshoot complex AI and production issues while ensuring high-quality, maintainable solutions.<br> Stay up to date with the latest advancements in Generative AI and apply them where they create business value.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Product Designer, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Lead AI Engineer which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation.<br> 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of experience building AI-powered applications in production.<br> Strong knowledge of Large Language Models (LLMs), prompt engineering, AI agents, RAG, tool calling, structured outputs, and orchestration frameworks.<br> Proven experience designing and developing conversational AI systems (voice and/or chat applications).<br> Strong understanding of AI system design, including context management, memory, retrieval, multi-agent workflows, and reasoning pipelines.<br> Experience building AI evaluation frameworks, automated testing pipelines, benchmarking, and regression testing.<br> Demonstrated experience improving AI quality through iterative evaluation and experimentation.<br> Strong software engineering fundamentals, including clean architecture, design patterns, testing, and maintainable code.<br> Experience integrating multiple AI providers such as OpenAI, Anthropic, Gemini, or similar.<br> Experience deploying, monitoring, and maintaining AI applications in production environments.<br> Full-stack development experience with modern backend and frontend technologies.<br> Experience with cloud platforms, APIs, CI/CD pipelines, and production deployments.<br> Strong analytical and problem-solving skills.<br> Ability to evaluate multiple AI approaches and select the most effective solution based on quality, reliability, latency, and cost.<br> Ability to independently own complex AI projects from design through production with minimal supervision.<br> Nice to Have Experience building traditional ML applications.<br> Experience with AI observability, tracing, and monitoring.<br> Experience mentoring engineers and driving engineering best practices.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst is transforming the way businesses hire and manage global teams.<br> Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management.<br> We partner with some of the world’s most innovative companies, including Fortune 500 businesses and leading startups.<br> We are a small but strong team of 250+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships.<br> As a Senior AI Engineer, you will build production-grade conversational AI systems and has a strong foundation in modern AI technologies and hands-on experience designing, evaluating, testing, and deploying AI applications at scale.<br> Responsibilities Design, develop, and maintain production-grade conversational AI systems.<br> Own AI features from technical design through deployment and production support.<br> Design scalable AI architectures and agent workflows.<br> Build and maintain AI evaluation frameworks, benchmarks, and automated testing pipelines.<br> Continuously improve AI quality through experimentation, evaluation, and data-driven optimization.<br> Integrate multiple AI providers and select the best models for different use cases.<br> Monitor production AI systems and proactively improve reliability, quality, and performance.<br> Collaborate with product, frontend, and backend teams to deliver end-to-end AI features.<br> Review technical designs and contribute to engineering best practices.<br> Troubleshoot complex AI and production issues while ensuring high-quality, maintainable solutions.<br> Stay up to date with the latest advancements in Generative AI and apply them where they create business value.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Product Designer, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Lead AI Engineer which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation.<br> 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of experience building AI-powered applications in production.<br> Strong knowledge of Large Language Models (LLMs), prompt engineering, AI agents, RAG, tool calling, structured outputs, and orchestration frameworks.<br> Proven experience designing and developing conversational AI systems (voice and/or chat applications).<br> Strong understanding of AI system design, including context management, memory, retrieval, multi-agent workflows, and reasoning pipelines.<br> Experience building AI evaluation frameworks, automated testing pipelines, benchmarking, and regression testing.<br> Demonstrated experience improving AI quality through iterative evaluation and experimentation.<br> Strong software engineering fundamentals, including clean architecture, design patterns, testing, and maintainable code.<br> Experience integrating multiple AI providers such as OpenAI, Anthropic, Gemini, or similar.<br> Experience deploying, monitoring, and maintaining AI applications in production environments.<br> Full-stack development experience with modern backend and frontend technologies.<br> Experience with cloud platforms, APIs, CI/CD pipelines, and production deployments.<br> Strong analytical and problem-solving skills.<br> Ability to evaluate multiple AI approaches and select the most effective solution based on quality, reliability, latency, and cost.<br> Ability to independently own complex AI projects from design through production with minimal supervision.<br> Nice to Have Experience building traditional ML applications.<br> Experience with AI observability, tracing, and monitoring.<br> Experience mentoring engineers and driving engineering best practices.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description Designing, optimizing, and productizing high-performance computer vision and AI pipelines for consumer device - with focus on real-time performance, power efficiency, and production robustness across embedded platforms. Responsibilities Design and implement advanced computer vision and image processing pipelines optimized for real-time consumer devices. Collaborate with ISP, sensor, and tuning teams to optimize image quality for downstream AI and UX performance. Develop and deploy ML models for visual recognition, enhancement, tracking, or scene understanding. Optimize ML models for edge deployment (quantization, pruning, distillation, hardware-aware tuning). Implement performance-critical algorithms in modern C++ for embedded platforms. Optimize for latency, power consumption, memory footprint, and thermal constraints. Integrate inference engines (TFLite, TensorRT, ONNX Runtime, etc.) on target SoCs. Work closely with Android/Linux platform teams to integrate camera and AI pipelines. Define and track KPIs: FPS, power usage, memory, startup time, and accuracy. Profile and optimize performance across CPU/GPU/NPU/DSP. Drive debugging of complex system-level issues in production builds. Ensure robust unit testing and contribute to automated validation pipelines. Mentor engineers and review architecture/design proposals. Support product bring-up and mass production readiness. Skills Must have Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field. 7-10+ years of experience in computer vision/image processing. Proven experience shipping at least one consumer product with embedded vision/AI. Strong C++ expertise (C++14/17/20), including performance optimization. Strong experience with OpenCV and ML frameworks (PyTorch, TensorFlow, ONNX). Experience deploying ML models on embedded/edge devices. Experience with model optimization (quantization, pruning). Strong understanding of 2D/3D geometry and linear algebra. Experience working on embedded Linux or Android systems. Strong debugging and performance profiling skills. Experience optimizing for power and thermal constraints. Nice to have Experience with mobile SoCs (Qualcomm, MediaTek, Exynos, etc.). Experience with CUDA / OpenCL / Vulkan / OpenGL ES / SIMD. Experience with camera calibration and ISP interaction. Experience building for Android Camera HAL or Yocto-based systems. Experience with AR, computational photography, or video processing. Experience with multi-camera systems. Exposure to production validation and manufacturing constraints. Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<p>The UN Secretary-General launched on 1 January 2019 a bold and new global reform which repositioned the UN Development System to deliver more effectively and efficiently with the achievement of the 2030 Agenda and the Sustainable Development Goals. As part of this reform, UN Resident Coordinator Offices (UN RCO), under the leadership of an empowered and independent UN Resident Coordinator - the highest-ranking official of the UN Development System and Representative of the UN Secretary-General at country level - support countries in the achievement of their development priorities and the attainment of the SDG's. In its Resolution A/RES/72/279, the United Nations General Assembly endorsed the transformation of the Development Operations Coordination Office (DCO) as a stand-alone coordination office within the United Nations Secretariat. DCO exercises managerial and oversight functions of the resident coordinator system under the oversight of the Chair of United Nations Sustainable Development Group (UNSDG). In 2026, DCO undertook a recalibration to ensure the RC system remains optimally configured to support the acceleration of the 2030 Agenda and embodies the UN 2.0 shift-anchored in data, <strong>digital</strong>, innovation, behavioral science, strategic foresight, and a mission driven organizational culture. The Associate Data Specialist contributes to interacting with counterparts, officers and technical staff in relevant organizational units in data engineering, data science and other data specialists, data owners and subject matter experts for the development and implementation of the databases, data collection systems and data analytics that optimize statistical efficiency and quality. It also contributes to the interaction with external counterparts in the UN funds, programs and other UN specialized agencies, consultants, and other partners to collaborate and exchange information and best practices. The position is located in the United Nations Resident Coordination Office (RCO) in Tunis, Tunisia, under the direct supervision of the Head of the Resident Coordinator Office.</p><p>Responsibilities</p><p>Within delegated authority, the incumbent will be responsible of the following duties:</p><ol><li>Develop and implement databases, data collection systems, data analytics, and other analysis, reporting and quality control capabilities; identifies appropriate data sources for analytics projects; identifies new data analysis process-improvement opportunities and strategies that optimize statistical efficiency and quality.</li><li>Identify, analyze, and interpret trends or patterns, applying statistical methods to structured and unstructured sources of information and data to surface relevant features and variables.</li><li>Implement process-improvement mechanisms for data analytics tasks; acquires and cleans data from primary and secondary sources; maintains and quality-assures databases and data systems, including UN INFO and CF results data.</li><li>Develop reports, dashboards, and other tools to effectively summarize findings and convey information to management across the development, humanitarian and peace nexus, supporting RC/UNCT evidence-based decision-making.</li><li>Document requirements, background information and methodology and establish documentation practices and standards for other staff to follow.</li><li>Draft inputs for a wide range of documents/reports, briefings/debriefings, correspondence, etc.</li><li>Contribute to the development of processes and tools to monitor and analyze model performance and data accuracy.</li><li>Design internal process improvements: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability</li><li>Implement solutions to data-related technical problems and data infrastructure updates.</li><li>Contribute to the preparation and organization of datasets to ensure data scientists and analysts have the necessary data for feature extraction. Perform routine data processing and quality checks to maintain data integrity.</li><li>Collaborate with data engineers and data scientists to improve data flows, data quality, etc.</li><li>Contribute to the creation of basic data visualization outputs to aid decision-making and communications of analysis outputs.</li><li>Contribute to project tasks, assist with data collection and initial analysis, and report unresolved issues to senior staff.</li><li>Contribute to the production of data products like reports or newsletters related to data analysis activities.</li><li>Conduct data collection, cleaning, and preliminary analysis, contributing to the identification of patterns and trends.</li><li>Compile and clarify data insights and develop supporting materials in preparation for stakeholder communications.</li><li>Keep abreast of current and emerging trends in data analytics best practices, technologies, and tools, and proposes their application to strengthen the RCO's analytical function.</li><li>Build staff and partner capacity on data analytics, including delivering trainings and workshops for UN personnel and national counterparts.</li><li>Support data preparation and preliminary analysis, verification, and pattern identification; contributes to routine reporting and administrative aspects of the work plan.</li><li>Contribute to the design and development of data science products, including through advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and related algorithms and computational approaches, to generate insights not otherwise detectable through standard analysis.</li><li>Serve as a resource person and informal mentor on data analytics within the RCO, promoting a data-driven culture and knowledge-sharing across results groups.</li><li>Performs other duties as assigned</li></ol><p>Competencies</p><p>PROFESSIONALISM: Working collaboratively, Strategic thinking, Analytical thinking, Knowledge and understanding of sustainable development theories, concepts and approaches. Ability to identify and develop sources for data collection. Ability to undertake research, analyze data, make recommendations and write draft reports on sustainable development issues. The ability to analyze and interpret data in support of decision-making and convey resulting information to management. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>An advanced university degree (Master's degree or equivalent) in computer science, data science, analytics, statistics, applied mathematics, information management, data management, information systems, information science or a related quantitative field is required. A first-level university degree (Bachelor's degree or equivalent) in combination with qualifying experience may be accepted in lieu of the advanced university degree.</li><li>A minimum of two (2) years of progressively responsible experience in data analysis, statistics, monitoring and evaluation, research, data management, or a related field is required.</li><li>Experience in collecting, cleaning, validating, analyzing, and interpreting data from multiple sources to support evidence-based decision-making is required.</li><li>Experience using data analysis and visualization tools such as Power BI, Tableau, R, Python, SQL, or similar platforms is required.</li><li>Demonstrated experience in developing analytical products, dashboards, reports, or data visualizations for technical and non-technical audiences is required.</li><li>Experience conducting data quality assurance and applying data validation methodologies is required.</li><li>Demonstrated experience in developing and applying quantitative and statistical data modelling techniques, including forecasting, trend analysis, regression modelling, scenario analysis, and predictive analytics, to support strategic planning, SDG monitoring, programme performance assessment, and evidence-based policy and decision-making is required.</li><li>English and French are the working languages of the United Nations Secretariat. For this job opening, English and French and Arabic are required.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are growing!<br> We are currently looking to hire an experienced Product Owner to join our Product team.<br> Who we are: Founded in 2006, CXG is a global customer experience uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide.<br> The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation.<br> We are passionate about delivering impact.<br> Our clients include the world’s most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction.<br> What you will be doing You will join a dynamic and fast-paced environment, working under the authority of the CXG CTO and reporting to our Senior Product Manager.<br> As Product Owner, you own the product backlog end-to-end and act as the bridge between business stakeholders and delivery teams.<br> You work across the full CXG product portfolio, including our B2B and B2C platforms and internal tools.<br> You translate business needs into a clear, prioritized backlog of user stories that align with product strategy and business processes, and you champion those requirements throughout the development lifecycle.<br> You are accountable for maximizing the value the team delivers each sprint, making day-to-day scope and priority decisions, and ensuring what ships genuinely solves user problems.<br> You also lead the team of Business Analysts, overseeing their day-to-day work on projects.<br> In addition, you are expected to embed AI-driven ways of working across the product lifecycle, from discovery and requirements through to delivery and support.<br> Here, passion, integrity and a "can-do" attitude are always top of mind.<br> Your daily responsibilities will involve: Own, refine, and prioritize the product backlog, translating business needs into well-defined epics, user stories, and acceptance criteria that align with the product roadmap and business processes.<br> Define scope and lead the requirements process for larger initiatives, including business workshop facilitation and roadmap development, working with business stakeholders, the Product Manager, and the Project Manager to manage the delivery backlog and timelines.<br> Act as the primary decision-maker on backlog priorities during sprints, balancing business value, effort, dependencies, and risk.<br> Engage with colleagues across departments to identify system integration points and dependencies, and develop high-level solution proposals, including scoping master data, reporting, access, and provisioning requirements.<br> Document requirements to the highest standard, including business architecture diagrams, use case definitions, and as-is / to-be process and flow charts.<br> Act as team leader for the Business Analysts team: oversee their work, set priorities, and review their day-to-day activities on projects.<br> Leverage AI tools to accelerate and improve product work, including drafting and refining user stories, analyzing requirements and meeting inputs, summarizing research, and building lightweight prototypes and workflow automations.<br> Contribute to shaping AI-enabled features within the product, partnering with Tech, Dev, and Data teams to define requirements, validate feasibility, and translate AI capabilities into user value.<br> Act as Subject Matter Expert and Product Liaison to the Tech/Dev and QA teams throughout design, build, and release.<br> Oversee testing and quality assurance of applications, ensuring they meet performance, security, and usability standards, and collaborate with QA teams to resolve defects and issues promptly.<br> Provide training and support to systems support specialists and end users, addressing questions and issues related to business applications.<br> Work within an Agile (Scrum) delivery model under the direction of the Product Manager, running backlog refinement, sprint planning, reviews, and stakeholder demos.<br> Effectively manage stakeholders, subject matter experts, executives, and other internal groups through clear written and verbal communication.<br> Manage change: work side by side with the Product Manager to implement new ideas effectively within company strategy, influencing decisions through collaboration, leadership, and a customer-focused approach.<br> What success looks like You will be successful in this role when you are effectively leading and developing the Business Analysts team, running a healthy and well-prioritized backlog that keeps delivery moving, and consistently bringing new features and improved processes to life across the CXG product portfolio.<br> What you will bring along Bachelor's degree Computer Science or Software Engineering; an MBA is a plus with minimum of 5 years in an IT-related field.<br> Minimum of 3–5 years as a Product Owner or Business Analyst on software products (Product Owner experience strongly preferred).<br> Proven experience with Agile (Scrum) methodology and the Product Owner role, including backlog management and story writing.<br> Hands-on experience using AI and generative AI tools, such as Claude, ChatGPT, and Copilot, in a professional context to improve productivity, analysis, or delivery, with a genuine enthusiasm for applying AI to product work.<br> Familiarity with AI and ML product concepts, and the ability to reason about how AI capabilities create user and business value (desirable).<br> Experience with product and project tracking tools (Jira, Azure DevOps/TFS, MS Project, etc.<br>). Strong technical background and familiarity with development tools and REST APIs.<br> Strong stakeholder management skills.<br> Resource and team management skills.<br> Team player with the ability to work on own initiative.<br> Excellent communication skills and mastery of the English language (written and spoken).<br> Strong management reporting and documentation capabilities.<br></span> </div>

<p>Provide technical leadership, direction and guidance to the development team. Balance hands-on software development with software architecture and solution design responsibilities. Design, develop and maintain high-quality backend services primarily using Java and Spring Boot. Contribute to architectural decisions and ensure solutions align with the broader domain architecture. Design and develop microservices-based and AWS serverless solutions. Work with TypeScript as part of application development. Collaborate closely with domain architects, developers, DevOps professionals and other stakeholders. Participate in technical discussions, solution design, code reviews and development activities. Design and work with SQL and NoSQL data solutions. Develop and support asynchronous application components and distributed systems. Contribute to CI/CD pipelines, GitHub-based development and modern DevOps practices. Promote Test-Driven Development (TDD), maintainability and high-quality engineering practices. Work effectively in Unix/Linux environments and Agile delivery models including Scrum, SAFe and Kanban. Support reliable, maintainable and scalable software solutions while communicating technical concepts clearly across teams. Must-Have Skills Proven experience in Tech Lead or Team Lead roles Excellent communication and collaboration skills Advanced Java backend development Spring Boot TypeScript AWS, particularly serverless services and development Microservices architecture, design and related software architecture concepts Database skills covering SQL and NoSQL GitHub Asynchronous programming Unix / Linux Test-Driven Development (TDD) CI/CD and DevOps practices Agile ways of working, including Scrum, SAFe and/or Kanban Good-to-Have Skills Automotive industry experience Automotive connectivity / connected applications experience AWS CDK AWS CodePipeline Docker Additional serverless development experience Understanding of scalability and experience with load testing Application profiling and performance optimization</p><p><strong>Desired Candidate Profile</strong></p><p>Education Minimum: Graduation / Bachelor s Degree. Preferably in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a related technical discipline. Experience 8+ years of relevant software development experience. Strong background in Java backend development with demonstrable Tech Lead / Team Lead responsibilities. Hands-on experience with software architecture, cloud-based applications and modern DevOps delivery. Must be comfortable remaining hands-on with development rather than working solely in an architectural or managerial capacity.</p>

<p>Essential Job Functions: Design, develop, and maintain scalable document ingestion and processing pipelines to support enterprise knowledge management and AI-powered applications. Build and optimize multi-stage data workflows for extracting, transforming, enriching, and indexing content from diverse document formats including PDF, PPTX, DOCX, CSV, and image-based sources. Implement advanced document processing capabilities, including metadata extraction, content chunking, classification, summarization, and information retrieval workflows. Manage vector database indexing strategies and search optimization to ensure high-quality retrieval performance and relevance. Develop and maintain MCP-compatible tool servers that securely expose enterprise databases, APIs, cloud platforms, and external services to AI agents. Design and implement event-driven architectures leveraging messaging and integration services to enable scalable and responsive data processing solutions. Create and deploy data analysis, document intelligence, and knowledge retrieval agents using reusable development templates and platform tooling. Collaborate with cross-functional teams to deliver reliable, scalable, and innovative data engineering and AI-driven solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Technology, Artificial Intelligence, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in Python development and data pipeline engineering.</li><li>Hands-on experience designing and maintaining ETL/ELT workflows using orchestration platforms such as Dagster, Airflow, or equivalent technologies.</li><li>Strong proficiency with document processing frameworks and libraries for extracting and transforming content from structured and unstructured data sources.</li><li>Experience working with vector databases, embedding models, semantic search technologies, and retrieval optimization techniques.</li><li>Familiarity with Azure data and AI services, including Azure AI Search, Blob Storage, Event Hub, Document Intelligence, or comparable cloud-native platforms.</li><li>Proven experience developing containerized applications and pipeline components using Docker and modern deployment practices.</li><li>Strong understanding of REST API design, integration patterns, and service-oriented architectures.</li><li>Experience building scalable ingestion, indexing, and retrieval systems for data-intensive applications.</li><li>Experience with Retrieval-Augmented Generation (RAG) architectures and enterprise knowledge management platforms is a plus.</li><li>Familiarity with event-driven system design and distributed data processing patterns is preferred.</li><li>Knowledge of AI agent ecosystems, MCP integrations, and modern data-to-agent architectures is highly desirable.</li><li>Strong analytical, troubleshooting, and problem-solving skills.</li><li>Excellent communication and collaboration abilities across technical and business stakeholders.</li><li>Relevant certifications in Azure, Data Engineering, Artificial Intelligence, or Cloud Technologies are a plus.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist.<br> We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company.<br> Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click.<br> RemoFirst manages employees and contractors for Fortune 500 companies (e.<br>g., Microsoft, Mastercard) and the best startups worldwide (e.<br>g., TransferGo).<br> We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc.<br> 5000 list of fastest-growing companies in 2025.<br> Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.<br> We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases.<br> This role goes beyond traditional data warehousing .<br>You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems and RAG solutions.<br> You will be responsible for building reliable data pipelines, developing curated data models and products, and ensuring high-quality, trusted data is readily available for analytics and AI workloads.<br> Key Responsibilities Design, build and maintain scalable data pipelines using modern data engineering tools (e.<br>g., dbt, Airflow, Prefect).<br> Develop and maintain dimensional and semantic data models to support analytics and operational use cases.<br> Build curated data products that support analytics and modern AI workloads.<br> Design data schemas and storage strategies optimized for both analytical and AI workloads.<br> Build and maintain version control workflows and isolated development/test environments.<br> Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.<br> Contribute to the architecture and evolution of the organization's modern data platform.<br> Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Senior Product Owner, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Data Lead which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation and 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of hands-on experience in Data Engineering with proven delivery in production environments.<br> Strong expertise in building scalable data pipelines using Python and SQL.<br> Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar.<br> Strong experience with dimensional data modeling and semantic data models.<br> Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda.<br> Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring.<br> Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications.<br> What we are looking for Strong ownership mindset with the ability to thrive in a fast-paced startup environment.<br> Ability to translate evolving business, analytics and AI requirements into scalable data solutions.<br> Effective communicator who collaborates well across Data, AI, Product, and Engineering teams.<br> A senior engineer who balances architectural thinking with hands-on execution.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key ResponsibilitiesTechnical Presales Support Collaborate with sales teams to understand customer business and technical requirements in KSA and UAE Design and propose suitable technical solutions aligned with customer needs.<br> Prepare technical proposals, solution architectures, and statements of work.<br> Conduct product presentations, demonstrations, and proof-of-concept (POC) sessions.<br> Respond to RFPs, RFIs, and RFQs with technical and functional inputs.<br> Assist in effort estimation, BOM preparation, and solution sizing.<br> Customer Engagement Participate in customer meetings, workshops, and discovery sessions.<br> Explain technical concepts clearly to both technical and non-technical stakeholders.<br> Build trusted relationships with customers, partners, and internal teams.<br> Address customer technical concerns and provide recommendations.<br> Solution Design &amp; Documentation Prepare high-level and low-level solution designs when required.<br> Create architecture diagrams, implementation approaches, and integration workflows.<br> Ensure proposed solutions follow best practices, scalability, security, and compliance standards.<br> Collaboration Coordinate with engineering, delivery, product, and support teams.<br> Work closely with project managers and solution architects during transition to delivery.<br> Support continuous improvement of presales assets, templates, and demo environments.<br> Market &amp; Product Knowledge Stay updated on industry trends, competitor solutions, and emerging technologies.<br> Maintain strong understanding of company products, services, and capabilities.<br> Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.<br> 3–6 years of experience in presales, solution engineering, systems engineering, or technical consulting.<br> Experience in preparing technical proposals and responding to RFPs.<br> Strong understanding of enterprise IT solutions, cloud technologies, integrations, and software architectures.<br> Excellent communication and presentation skills.<br> Ability to work in a fast-paced, customer-facing environment.<br> Preferred Skills Experience with cloud platforms such as Azure, AWS, or Google Cloud.<br> Knowledge of APIs, integrations, databases, and enterprise applications.<br> Familiarity with cybersecurity, infrastructure, data, or AI solutions is a plus.<br> Experience with diagramming and documentation tools (Visio, Draw.<br>io, etc.). Relevant technical certifications are advantageous.<br> Soft Skills Strong analytical and problem-solving abilities.<br> Customer-oriented mindset.<br> Strong teamwork and collaboration skills.<br> Ability to manage multiple opportunities simultaneously.<br> Good negotiation and stakeholder management skills.<br> KPIs / Success Metrics Quality and timeliness of technical proposals.<br> Win rate contribution.<br> Customer satisfaction during presales engagements.<br> Accuracy of solution sizing and estimations.<br> Number of successful demos and POCs delivered.<br></span> </div>

<p>Essential Job Functions: Design, develop, and maintain high-performance asynchronous Python APIs using FastAPI, Pydantic, and SQLAlchemy 2.0. Lead PostgreSQL database design activities, including schema modeling, migrations, and query optimization to ensure scalability and reliability. Implement and enhance secure authentication and authorization frameworks, including RBAC, OAuth2/OIDC, JWT validation, and API gateway policies. Define and govern API standards, including contract design, versioning strategies, and integration best practices across distributed systems. Build, deploy, and maintain AI agents using reusable vibecoding templates and blueprint-based development frameworks. Configure agent-to-tool integrations through MCP protocols, manage LLM routing strategies, and support AI-driven solution delivery. Collaborate with cross-functional teams to deliver secure, scalable, and innovative backend and AI-powered solutions.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience. Typically, 5+ years of professional experience developing backend applications with Python and modern web frameworks. Strong expertise in asynchronous Python development, FastAPI (or equivalent frameworks), and modern API design principles. Proven experience with PostgreSQL, including schema design, indexing, partitioning, migrations, and performance tuning. Hands-on experience implementing OAuth2, OpenID Connect (OIDC), JWT authentication, and integration with enterprise identity providers such as Microsoft Entra ID (Azure AD). Experience working with API gateway platforms such as Kong, Apigee, or similar technologies. Familiarity with Docker, Kubernetes fundamentals, and CI/CD pipeline implementation. Working knowledge of Large Language Model (LLM) APIs, prompt engineering techniques, and agent orchestration concepts.</p><p>Experience with AI agent frameworks, workflow automation, and MCP-based integrations is a plus. Knowledge of cloud-native architectures and modern distributed systems is preferred. Strong analytical, problem-solving, and communication skills. Demonstrated ability to learn emerging technologies and apply them in innovative business solutions. Relevant certifications in cloud technologies, DevOps, cybersecurity, or AI/ML are a plus.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Venari Security is looking for a senior platform-minded integration engineer, architect, or independent consultant who can take ownership of complex integration capabilities from specification through design, build, validation, and delivery.</p><br> <p>This is not a narrow coding assignment. You will define and deliver production-grade integrations that connect Venari’s Adaptive Cryptographic Intelligence Platform with leading cloud providers, cybersecurity platforms, enterprise systems, and SaaS solutions. The ideal candidate can understand an existing platform architecture, identify the right extension points, specify the subsystem to be built, and deliver it autonomously with the right security, reliability, and operational foundations.</p><br> <p>You will work at the intersection of platform engineering, cloud architecture, API design, and integration security, helping Venari build a scalable integration layer for AWS, Azure, major cybersecurity ecosystems, and high-value SaaS environments.</p><br> <p><span>Mission and Scope of Work</span></p><br> <ul> <li>Own the end-to-end delivery of integration subsystems: clarify requirements, write technical specifications, design the architecture, build the services, validate behavior, and prepare production release.</li> <li>Design scalable integration patterns for major cloud providers, especially AWS and Azure, including secure access, discovery, data ingestion, event handling, and operational monitoring.</li> <li>Build robust APIs, connectors, webhooks, and integration services for cloud platforms, cybersecurity tools, CMDBs, SIEMs, vulnerability management platforms, identity providers, and enterprise SaaS solutions.</li> <li>Implement secure authentication, authorization, and secret-management flows using standards such as OAuth2, OpenID Connect, SSO, RBAC, API keys, signed requests, and cloud-native identity mechanisms.</li> <li>Understand Venari’s platform architecture and build on top of it without creating isolated, hard-to-maintain components.</li> <li>Deliver integration configuration workflows and UI components that make setup, testing, monitoring, and troubleshooting simple for users.</li> <li>Build for production from the start: observability, retries, rate-limit handling, caching, error handling, auditability, automated tests, documentation, and deployment readiness.</li> </ul> <p><span>What You Will Deliver</span></p><br> <ul> <li>Clear technical specifications for each integration subsystem, including architecture, data flows, security model, edge cases, and delivery plan.</li> <li>Production-ready backend services, APIs, connectors, and integration components aligned with Venari’s platform architecture.</li> <li>Secure cloud and SaaS integration capabilities for AWS, Azure, and selected enterprise platforms.</li> <li>Authentication and authorization modules covering OAuth2, OpenID Connect, SSO, RBAC, token lifecycle, and secure credential handling.</li> <li>Configuration screens, validation workflows, and operational views that allow users to configure, test, and monitor integrations.</li> <li>Automated tests, CI/CD readiness, logging, metrics, deployment notes, and technical documentation that allow the core team to maintain and extend the work.</li> </ul> <p><span>What We Are Looking For</span></p><br> <ul> <li>A senior engineer, architect, or technical consultant with more than 10 years of experience delivering enterprise software solutions at scale, with proven ability to specify, build, and deliver systems or subsystems autonomously, not only implement assigned tickets.</li> <li>Strong ability to understand an existing SaaS platform architecture, identify reusable platform capabilities, and build extensions that are coherent, maintainable, and scalable.</li> <li>Hands-on experience with cloud integrations on AWS and Azure, including IAM, service APIs, event services, networking constraints, credentials, permissions, and security boundaries.</li> <li>Strong API engineering background, including REST APIs, webhooks, asynchronous integration patterns, API gateways, rate limiting, pagination, retries, versioning, and backward compatibility.</li> <li>Deep understanding of integration security: OAuth2, OpenID Connect, SSO, RBAC, least privilege, token handling, secrets management, encryption in transit, audit logging, and secure error handling.</li> <li>Strong backend engineering experience, ideally with Spring Boot, microservices, containers, automated testing, and production-grade observability.</li> <li>Ability to communicate architecture decisions clearly, write practical technical documentation, and collaborate with product, frontend, backend, infrastructure, and security stakeholders.</li> </ul> <p><span>Experience That Will Stand Out</span></p><br> <ul> <li>Delivered integrations with AWS services, Azure services, identity providers, security tools, observability platforms, CMDBs, SIEMs, vulnerability management tools, or enterprise SaaS products.</li> <li>Built integration platforms, connector frameworks, developer-facing APIs, or extensibility layers used by multiple customers or product teams.</li> <li>Experience with event-driven architectures, queues, streaming, scheduling, sync engines, data pipelines, Kafka, CrateDB, PostgreSQL, or similar technologies.</li> <li>Hands-on experience with Docker, Kubernetes, Terraform, Helm, cloud-native deployment models, and CI/CD automation.</li> <li>Strong product sense: able to translate an integration use case into a reliable user workflow, not only a technical connector.</li> </ul> <p><span>Why This Is Interesting</span></p><br> <ul> <li>You will help shape the integration layer of a platform focused on cryptographic discovery, crypto agility, and the security challenges created by modern encrypted infrastructure.</li> <li>You will build integrations at scale with the platforms that matter most to enterprise customers: cloud providers, cybersecurity ecosystems, identity platforms, and SaaS solutions.</li> <li>You will have real ownership: define the right approach, make architecture decisions, deliver working subsystems, and leave behind a foundation the product team can extend.</li> <li>You will work on a technically meaningful problem where cloud security, API design, platform architecture, and product usability meet.</li> </ul> <p><span>Engagement Details</span></p><br> <ul> <li>Contract Type: Project-based (Independent Consultant / Contractor)</li> <li>Duration: Initial 3-month engagement, with extension subject to review of progress and delivery quality.</li> <li>Location: Hybrid</li> <li>Start Date: ASAP</li> </ul> <p><span>About Venari Security</span></p><br> <p>Venari Security provides organisations with advanced visibility into their encrypted attack surface, ensuring regulatory compliance and privacy adherence through our cryptographic discovery tool. Our focus is on crypto agility which helps you assess both external and internal cryptographic risks, preparing your business now and for the quantum future.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist.<br> We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company.<br> Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click.<br> RemoFirst manages employees and contractors for Fortune 500 companies (e.<br>g., Microsoft, Mastercard) and the best startups worldwide (e.<br>g., TransferGo).<br> We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc.<br> 5000 list of fastest-growing companies in 2025.<br> Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.<br> We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases.<br> This role goes beyond traditional data warehousing .<br>You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems and RAG solutions.<br> You will be responsible for building reliable data pipelines, developing curated data models and products, and ensuring high-quality, trusted data is readily available for analytics and AI workloads.<br> Key Responsibilities Design, build and maintain scalable data pipelines using modern data engineering tools (e.<br>g., dbt, Airflow, Prefect).<br> Develop and maintain dimensional and semantic data models to support analytics and operational use cases.<br> Build curated data products that support analytics and modern AI workloads.<br> Design data schemas and storage strategies optimized for both analytical and AI workloads.<br> Build and maintain version control workflows and isolated development/test environments.<br> Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.<br> Contribute to the architecture and evolution of the organization's modern data platform.<br> Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.<br> Startup environment: RemoFirst is an early-stage startup.<br> You have a voice that can influence, and grow rapidly.<br> An opportunity to build a tech unicorn.<br> Growth opportunity: This is a chance to join an AI-forward company driving innovation through artificial intelligence.<br> As Senior Product Owner, you’ll lead product initiatives that deliver strategic impact.<br> Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.<br> Autonomy and Accountability: We value autonomy and accountability — there’s no bureaucracy or lengthy approval process.<br> We prioritize speed and results to keep moving forward effectively.<br> Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.<br> Leadership visibility: Reporting into the Data Lead which means your projects will be strategic and business-critical.<br> Compensation and perks are great: Competitive compensation and 100% remote work.<br> Culture: You will get to work with some of the best colleagues coming from top tech companies.<br> We lead with respect, kindness, and the right to fail.<br> We value hard yet smart work.<br> Diversity and inclusion are part of our DNA.<br> As we grow and evolve, we welcome your input to help us define our culture further.<br> 5+ years of hands-on experience in Data Engineering with proven delivery in production environments.<br> Strong expertise in building scalable data pipelines using Python and SQL.<br> Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar.<br> Strong experience with dimensional data modeling and semantic data models.<br> Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda.<br> Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring.<br> Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications.<br> What we are looking for Strong ownership mindset with the ability to thrive in a fast-paced startup environment.<br> Ability to translate evolving business, analytics and AI requirements into scalable data solutions.<br> Effective communicator who collaborates well across Data, AI, Product, and Engineering teams.<br> A senior engineer who balances architectural thinking with hands-on execution.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are looking for an Senior Expert OT Security Engineering (x|f|m) to join our IT Foundation Services team. <br>As part of a global organization, you will help protect and strengthen our OT landscape and contribute to the security of production environments that support our mission of Simplifying Progress. In this role, you will work closely with IT, engineering and production teams to advance our OT security capabilities and support resilient operations worldwide. <br>This position is available for full-time. It is a hybrid role requiring some days on site at our site in Madrid (Spain) or Tunis (Tunisia) with the opportunity to work some days remotely.</p><p><b>Grow </b><b>W</b><b>ith </b><b>Us</b><b> – </b><b>Your</b><b>Responsibilities</b></p><br><ul><li><p><span>Develop, implement and continuously improve OT security concepts, architectures and standards across global environments </span></p><br></li><li><p><span>Take ownership of the OT vulnerability management lifecycle, including identification, assessment, prioritization and remediation tracking of vulnerabilities in OT environments </span></p><br></li><li><p><span>Perform vulnerability assessments and risk analyses for industrial systems (</span><span>e.g.</span><span> ICS, SCADA, IoT) and define mitigation strategies aligned with operational constraints </span></p><br></li><li><p><span>Establish and enhance processes for continuous vulnerability monitoring and remediation in close collaboration with production and engineering teams</span></p><br></li><li><p><span>Support the integration of OT systems into existing IT security frameworks and monitoring capabilities Collaborate with SOC teams to ensure effective monitoring, detection and response for OT-related security incidents </span></p><br></li><li><p><span>Act as a central interface between IT security, OT engineering and production teams to align security requirements and operational needs </span></p><br></li><li><p><span>Support incident response activities, including investigation, containment and remediation of OT-related threats </span></p><br></li><li><p><span>Ensure compliance with relevant cybersecurity standards and frameworks (</span><span>e.g.</span><span> IEC 62443, NIS2, ISO 27001) </span></p><br></li><li><p><span>Coordinate with external vendors and technology partners and contribute to the evaluation and implementation of OT security solutions </span></p><br></li><li><p><span>Document security architectures, processes and implemented controls to ensure transparency and audit readiness</span></p><br></li></ul><p><b>What</b><b> Will </b><b>Convince</b><b>Us</b></p><br><ul><li><p><span>You have successfully completed a degree in information technology, cybersecurity, engineering or a comparable field </span></p><br></li><li><p><span>This is complemented by several years of professional experience in IT security, ideally with a focus on OT / industrial environments </span></p><br></li><li><p><span>Strong knowledge of network technologies and protocols across IT and OT environments </span></p><br></li><li><p><span>Experience with industrial systems such as ICS and SCADA as well as OT-specific security challenges </span></p><br></li><li><p><span>Hands-on experience with security technologies such as SIEM, IDS/IPS, endpoint protection and network segmentation solutions </span></p><br></li><li><p><span>Familiarity with OT security platforms (</span><span>e.g.</span><span>Claroty</span><span>, Nozomi, Microsoft Defender for IoT) is a strong advantage</span></p><br></li><li><p><span>Understanding of security frameworks and regulatory requirements (</span><span>e.g.</span><span> IEC 62443, NIS2, ISO standards) </span></p><br></li><li><p><span>Experience in incident response and vulnerability management is a plus </span></p><br></li><li><p><span>Strong communication skills and the ability to make technical concepts understandable to non-technical stakeholders characterize you </span></p><br></li><li><p><span>Independent work </span><span>styl</span><span>, manage tasks effectively and alignment ofactivities with overall security strategies </span></p><br></li><li><p><span>A hands-on mentality combined with a proactive and solution-oriented mindset </span></p><br></li><li><p><span>Fluency in English completes your profile</span></p><br></li></ul><p><b>What</b><b>We</b><b> Offer</b></p><br><p><span>As a </span><span>growing</span><span> global </span><span>life</span><span>science</span><span>company</span><span>, stock </span><span>listed</span><span> on </span><span>the</span><span> MDAX and TecDAX, Sartorius </span><span>offers</span><span> a </span><span>wide</span><span>range</span><span> of&nbsp;Benefits:</span></p><br><ul><li><p><b>Personal and Professional Development: </b><span>Mentoring, leadership programs, Talent Talks, internal seminar offerings , coaching for managers</span></p><br></li><li><p><b>Attractive Compensation: </b><span>Vacation and holiday bonuses including pension benefits with a </span><span>40 hr.</span><span> week and 25 vacation days</span></p><br></li><li><p><b>Making An Impact Right From The Start: </b><span>Comprehensive onboarding, including a virtual online platform even before joining, Welcome Workshops, "buddy" as point of contact</span></p><br></li><li><p><b>Welcoming Culture: </b><span>Mutual support, </span><span>teamspirit</span><span> and international collaboration; communities on numerous topics, such as coaching, agile working and </span><span>business women</span><span> network</span></p><br></li><li><p><span>This position is filled within the </span><b>Sartorius Spain S.A.</b></p><br></li></ul><p><i>We</i><i> promote </i><i>diversity</i><i> and </i><i>inclusion</i><i> and </i><i>welcome</i><i>applications</i><i>from</i><i>people</i><i>of</i><i> all </i><i>nationalities</i><i>, </i><i>genders</i><i>, sexual </i><i>orientations</i><i>, </i><i>religions</i><i>, </i><i>age</i><i>groups</i><i>, </i><i>disabilities</i><i>, and </i><i>cultural</i><i>backgrounds.</i></p><br><p><b>About Sartorius&nbsp;</b></p><br><p>Sartorius is part of the solution in the fight against cancer, dementia, and many other diseases. Our technologies help translate scientific discoveries into real-world medicine faster, so that new therapeutics can reach patients worldwide.&nbsp;</p><br><p>We look for ambitious team players and creative minds, who want to contribute to this goal and advance their careers in a dynamic global environment.</p><br><p>Join our global team and become part of the solution. We are looking forward to receiving your application.&nbsp;<br>www.sartorius.com/careers</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our company manages one of the largest Elasticsearch clusters in France, powering a high-performance search engine applied to one of the most exhaustive global patent databases on the market. Within the "Data as a Service" (DaaS) team, we are the software and architectural core of this platform. We design data structures (mappings), develop massive ingestion pipelines, write custom plugins for Elasticsearch, and manage the query and caching backend. The DaaS team is responsible for application performance, index optimization, and result relevance. As part of our business development in Tunisia, we are looking for an Expert Elasticsearch and Backend Java Engineer to become a technical expert in our local team and collaborate closely with the teams in France.</p><p>Your Missions:</p><p>Reporting to the DaaS team, your responsibilities will cover the entire data lifecycle and Elasticsearch performance, from development to production investigation:</p><p>1. Elasticsearch Design &amp; Performance:</p><p>Design, optimize, and evolve data modeling (mappings, tokenizers, analyzers, data types) to ensure fast searches on millions of large documents.</p><p>Develop specific extensions and plugins in Java directly integrated with Elasticsearch to meet complex business needs for patent processing.</p><p>Actively participate in the preparation, testing, and validation of major and minor versions of the ES cluster.</p><p>2. Backend Development &amp; Pipelines (Java):</p><p>Develop and maintain the Elasticsearch query management backend and high-performance caching systems.</p><p>Design and optimize data loading programs (massive / batch data ingestion) and real-time index update flows.</p><p>3. Monitoring, Optimization &amp; Production Support:</p><p>Analyze cluster performance (Search &amp; Indexing throughput, latencies, JVM usage, Garbage Collection, Heap) for proactive optimization.</p><p>Be the technical point of contact for production incident investigations (in collaboration with the Systems team): slow queries, unstable nodes, etc.</p><p>Ensure capacity planning from an application perspective (sizing of shards, segments, nodes).</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><b>Technical Skills (Hard Skills):</b></li><li><b>Elasticsearch Expertise:</b> You have a mastery of Elasticsearch's internal architecture (Lucene, sharding, segments, index lifecycle, advanced aggregations). You know how to profile and optimize complex queries (Query DSL). You are familiar with indexing and searching text-based documents.</li><li><b>Java Development:</b> Perfect mastery of Java (Core, Concurrency, Performance) for backend development, pipelines, and ideally ES plugins.</li><li><b>Performance &amp; Internals:</b> Excellent knowledge of the JVM (tuning, GC log analysis, thread dumps, heap dumps).</li><li><b>Python Development:</b> Knowledge of Python and data manipulation libraries (pandas).</li><li><b>Data &amp; CI/CD Ecosystem:</b> Good knowledge of build and containerization tools (Maven, Git, Docker).</li><li><b>Human and Relational Qualities (Soft Skills):</b></li><li><b>Autonomy and Rigor:</b> Ability to propose optimizations and carry subjects end-to-end in a context.</li><li><b>Analytical and Investigative Mindset:</b> You enjoy digging into logs and metrics to solve complex performance issues (troubleshooting problems).</li><li><b>Communication:</b> Excellent level of French (written and oral) for daily interaction with the team based in France.</li></ul><p></p></section>

<p>The Junior Solutions Engineer participates in the implementation of our TBML solution for our international clients: environment preparation, data integration, testing, production deployment, and user support. The position combines technical, functional, and relational aspects, in direct contact with clients, in French and English, and in close collaboration with our Product, R&amp;D, QA, and DevOps teams.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Engineering degree in computer science, information systems, data, or equivalent field.</li><li>First experience, internship, or significant project in development, integration, application support, or software solution implementation.</li><li>Good foundation in Linux, Docker, databases, SQL, and web applications.</li><li>Proven ease with AI tools.</li><li>Knowledge of Java, Spring Boot, Angular, PostgreSQL, Elasticsearch, or similar technologies is appreciated.</li><li>Ability to quickly understand technical architecture, data flows, and functional issues.</li><li>Very good level of French and English, both written and spoken.</li><li>Ease of communication with technical and business stakeholders.</li><li>Ability to simply explain a technical subject, ask the right questions, and rephrase client needs.</li><li>Analytical mind, curiosity, rigor, and sense of responsibility.</li><li>Autonomy, versatility, and ability to work on diverse subjects.</li><li>Occasional availability to support production deployments or client travel.</li></ul>