وظائف اختبار البرمجيات في المغرب

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p> <strong>Coface</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and quality professional relationships at the core of its operations. A close management approach encourages guidance, empowerment and skills development within a supportive environment. This culture is strongly complemented by a <strong>competitive dimension</strong>, focused on performance, results and customer orientation. It is also supported by a structured <strong>organizational foundation</strong> ensuring rigor and reliability, while a more moderate <strong>innovation component</strong> contributes to adaptability and continuous improvement. </p><br><br> <br> Job : <p>Reporting to the Strategy and Development Department, the Data Lab brings together skills in Data Science, AI, and Software Engineering to design, develop, and deploy operational solutions that improve the company's processes, products, and services. The team has about thirty people spread across Paris, Toronto, and Casablanca.</p><br><br><p>The Data Lab seeks to implement best development practices, mainly in Python but also in React and Java, and manages CI/CD pipelines to deploy applications and APIs on Docker/Kubernetes infrastructures, on Apache Airflow, and in the Cloud.</p><br><br><p>The projects are numerous and varied with short development deadlines and concrete implementations, for example:</p><br><br><ul><li>Information extraction from images and documents</li><li>Integration of open data and web scraping</li><li>Construction and exploitation of graph databases</li><li>Search engine specialized in company identification</li><li>Data valorization API for major international clients</li></ul><p><br>Training and technological watch on dedicated time, as well as knowledge sharing through presentations among team members, are part of the Data Lab's operating method.</p><br><br><p><strong>The missions:&nbsp;</strong></p><br><br><ul><li>You develop solutions deployed on our container infrastructures or in the cloud, and you implement production monitoring.</li><li>You participate in code reviews of other team members to share knowledge and ensure the quality of developments.</li><li>You propose technical solutions and participate in technological watch.</li></ul> <br> Required profile : <ul><li>Engineering degree or equivalent</li><li>Two years or more of experience in a similar role</li><li>Python application development with high-quality standards and the implementation of good practices for code reviews and continuous integration.</li><li>Use of SQL and NoSQL databases (MongoDB, Neo4j, ElasticSearch, Redis...)</li><li>Implementation of monitoring dashboards (Kibana, Grafana)</li><li>Autonomy, curiosity, teamwork, and knowledge sharing</li><li>Communication in English (projects in international contexts)</li></ul><p><br><strong>Appreciated skills:&nbsp;</strong></p><br><br><ul><li>Implementation of CI/CD chains and Docker/Kubernetes deployment</li><li>Design of high-availability application architectures</li><li>Skills in data science-oriented libraries (e.g. Pandas)</li><li>Knowledge of Linux administration</li><li>Deployment of applications in the cloud and infrastructure-as-code</li><li>Front-end programming (React or Angular or Vue.js...)</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence: 1) 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions. Ready to kick start your career with us? Become the AI &amp; Automation Rockstar at Infomineo! Do you dream of using cutting-edge AI and automation to revolutionize how businesses operate? Infomineo, a fast-growing business insights powerhouse, is seeking a Senior Research &amp; Development Engineer to join our ranks and spearhead the development of next-gen solutions for our global clientele. Why Infomineo? Here's what sets us apart: Shape the Future of Business Insights: You'll be at the forefront, designing and implementing AI-driven solutions that automate tasks and boost efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics. Work with the Big Players: Our clients are industry leaders - Fortune 500s, consultancies, governments, and NGOs - and you'll play a vital role in supporting their success. Become an AI &amp; Automation Guru: We foster continuous learning. Expect to stay on top of the latest advancements and actively propose and implement improvements. Global Impact, Local Connections: Infomineo boasts a vibrant international team with offices across 5 continents. Collaborate with diverse, brilliant minds and gain exposure to a variety of industries and regions. Thrive in a Collaborative Culture: We value intellectual curiosity, creativity, and a "can-do" attitude. You'll be encouraged to contribute your ideas and make a real difference in the company's growth. Does this sound like your dream role? Here's what you'll bring to the table: 3-5 years of experience in backend development and distributed systems. Hands-on experiences in building scalable, high-throughput applications using robust architectural components such as messaging queues, caching layers, connection/resource pools, and event-driven asynchronous processing. Proven track record of contributing to the design and implementation of state-of-the-art software architectures, with a focus on clean code, design patterns, and maintainability for large-scale enterprise environments. Deep understanding of the software engineering fundamentals required to build frameworks for AI. Solid grasp of the underlying principles of document processing, vectorization, semantic search, and the architecture of Retrieval-Augmented Generation (RAG) pipelines. Strong communication skills with the ability to collaborate with tech leads, product teams, dedicated DevOps engineers, and stakeholders across multiple departments. Bonus points for: Knowledge of LLM observability, telemetry, tracing, and monitoring paradigms for production environments. Conceptual understanding of modern infrastructure ecosystems (e.g., Infrastructure as Code, container orchestration, GitOps, and automated deployment pipelines) to effectively collaborate with our DevOps team. Experience integrating complex third-party SaaS APIs. Ready to join the revolution? We offer: A competitive compensation and benefits package. The opportunity to make a real impact on a global scale. A dynamic and supportive work environment that values your contributions. Continuous learning and professional development opportunities to propel your career forward. Show us what you've got! Submit your resume, cover letter, and any relevant portfolio links showcasing your AI and automation expertise. Infomineo: Where brilliant minds meet to shape the future of business.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3-5 years of experience in backend development and distributed systems. Hands-on experiences in building scalable, high-throughput applications using robust architectural components such as messaging queues, caching layers, connection/resource pools, and event-driven asynchronous processing. Proven track record of contributing to the design and implementation of state-of-the-art software architectures, with a focus on clean code, design patterns, and maintainability for large-scale enterprise environments. Deep understanding of the software engineering fundamentals required to build frameworks for AI. Solid grasp of the underlying principles of document processing, vectorization, semantic search, and the architecture of Retrieval-Augmented Generation (RAG) pipelines. Strong communication skills with the ability to collaborate with tech leads, product teams, dedicated DevOps engineers, and stakeholders across multiple departments. Bonus points for: Knowledge of LLM observability, telemetry, tracing, and monitoring paradigms for production environments. Conceptual understanding of modern infrastructure ecosystems (e.g., Infrastructure as Code, container orchestration, GitOps, and automated deployment pipelines) to effectively collaborate with our DevOps team. Experience integrating complex third-party SaaS APIs.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We’ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).<br> Our proprietary AI orchestrator.<br> Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Why Infomineo?<br> Here’s what sets us apart: Shape the Future of Business Insights: You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with Global Leaders: Our clients are industry leaders — Fortune 500s, top consultancies, governments, and NGOs.<br> You will take ownership of delivering technical solutions that directly support their success.<br> Lead in AI &amp; Technology: We foster continuous learning and technical excellence.<br> You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, leadership, and a can-do attitude.<br> You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company’s growth.<br> About this role: We are seeking an experienced and technically strong individual to join us as Senior AI Software Engineer.<br> In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients.<br> You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders.<br> While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.<br> Key Responsibilities: Data Science, AI &amp; Applied R&amp;D: Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.<br> Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.<br> Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.<br> Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.<br> Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.<br> Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.<br> Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.<br> Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.<br> Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.<br> Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.<br> Build or support frontend interfaces using modern frameworks such as React, Next.<br>js, or Vue to make AI and data products accessible to business users and clients.<br> Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.<br> Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.<br> Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.<br> Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.<br> Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.<br> Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.<br> Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.<br> Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.<br> Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.<br> Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment.<br> Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.<br> Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.<br> Define standards and best practices for AI solution design, evaluation, documentation, and delivery.<br> Communicate complex technical concepts clearly to both technical and non-technical audiences.<br> Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.<br> Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.<br> Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.<br>js, or Vue.<br> Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.<br> Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.<br> Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.<br> Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.<br> Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.<br> Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.<br> Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.<br> Bachelor’s or Master’s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.<br> Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.<br> Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.<br> Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.<br> Experience with Infrastructure as Code tools such as Terraform or Pulumi.<br> Experience designing data models, analytical pipelines, or BI/dashboard solutions.<br> Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.<br> What we offer: A competitive compensation and benefits package.<br> The opportunity to lead AI, data science, and technology initiatives with real global impact.<br> A dynamic and supportive work environment that values leadership, innovation, and your contributions.<br> Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology.<br> Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment.<br> Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential.<br> Infomineo: Where brilliant minds meet to shape the future of business.<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions. Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability. Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases. Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production. Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions. Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement. Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions. Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines. Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI. Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients. Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns. Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources. Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions. Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture. Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments. Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases. Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems. Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments. Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure. Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment. Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness. Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs. Define standards and best practices for AI solution design, evaluation, documentation, and delivery. Communicate complex technical concepts clearly to both technical and non-technical audiences. Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field. Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows. Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques. Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation. Experience with Infrastructure as Code tools such as Terraform or Pulumi. Experience designing data models, analytical pipelines, or BI/dashboard solutions. Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials. What we offer: A competitive compensation and benefits package. The opportunity to lead AI, data science, and technology initiatives with real global impact. A dynamic and supportive work environment that values leadership, innovation, and your contributions. Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology. Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential. Infomineo: Where brilliant minds meet to shape the future of business.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.</p><p>Preferred Skills:</p><ul><li>Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.</li><li>Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.</li><li>Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.</li><li>Experience with Infrastructure as Code tools such as Terraform or Pulumi.</li><li>Experience designing data models, analytical pipelines, or BI/dashboard solutions.</li><li>Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 1) 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Become the AI &amp; Automation Rockstar at Infomineo!<br> Do you dream of using cutting-edge AI and automation to revolutionize how businesses operate?<br> Infomineo, a fast-growing business insights powerhouse, is seeking a Senior Research &amp; Development Engineer to join our ranks and spearhead the development of next-gen solutions for our global clientele.<br> Why Infomineo?<br> Here's what sets us apart: Shape the Future of Business Insights: You'll be at the forefront, designing and implementing AI-driven solutions that automate tasks and boost efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with the Big Players: Our clients are industry leaders - Fortune 500s, consultancies, governments, and NGOs - and you'll play a vital role in supporting their success.<br> Become an AI &amp; Automation Guru: We foster continuous learning.<br> Expect to stay on top of the latest advancements and actively propose and implement improvements.<br> Global Impact, Local Connections: Infomineo boasts a vibrant international team with offices across 5 continents.<br> Collaborate with diverse, brilliant minds and gain exposure to a variety of industries and regions.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, creativity, and a "can-do" attitude.<br> You'll be encouraged to contribute your ideas and make a real difference in the company's growth.<br> Does this sound like your dream role?<br> Here's what you'll bring to the table: 3-5 years of experience in backend development and distributed systems.<br> Hands-on experiences in building scalable, high-throughput applications using robust architectural components such as messaging queues, caching layers, connection/resource pools, and event-driven asynchronous processing.<br> Proven track record of contributing to the design and implementation of state-of-the-art software architectures, with a focus on clean code, design patterns, and maintainability for large-scale enterprise environments.<br> Deep understanding of the software engineering fundamentals required to build frameworks for AI.<br> Solid grasp of the underlying principles of document processing, vectorization, semantic search, and the architecture of Retrieval-Augmented Generation (RAG) pipelines.<br> Strong communication skills with the ability to collaborate with tech leads, product teams, dedicated DevOps engineers, and stakeholders across multiple departments.<br> Bonus points for: Knowledge of LLM observability, telemetry, tracing, and monitoring paradigms for production environments.<br> Conceptual understanding of modern infrastructure ecosystems (e.<br>g., Infrastructure as Code, container orchestration, GitOps, and automated deployment pipelines) to effectively collaborate with our DevOps team.<br> Experience integrating complex third-party SaaS APIs.<br> Ready to join the revolution?<br> We offer: A competitive compensation and benefits package.<br> The opportunity to make a real impact on a global scale.<br> A dynamic and supportive work environment that values your contributions.<br> Continuous learning and professional development opportunities to propel your career forward.<br> Show us what you've got!<br> Submit your resume, cover letter, and any relevant portfolio links showcasing your AI and automation expertise.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Rattach la Direction de la Strat gie et du D veloppement, le Data Lab regroupe des comp tences de Data Science, d IA et de Software Engineering pour concevoir, d velopper et d ployer des solutions op rationnelles am liorant les processus, les produits et les services de l entreprise. L quipe compte une trentaine de personnes r parties entre Paris, Toronto et Casablanca. Le Data Lab cherche mettre en uvre les meilleures pratiques de d veloppement, principalement en Python mais aussi en React et en Java, et g re des pipelines CI/CD pour d ployer des applications et des APIs sur les infrastructures Docker/Kubernetes, sur Apache Airflow et dans le Cloud. Les projets sont nombreux et vari s avec des d lais de d veloppement courts et des mises en uvre concr tes, par exemple : Extraction d informations partir d images et de documents Int gration d open-data et web-scrapping Construction et exploitation de base de donn es graphes Moteur de recherche sp cialis dans l identification des entreprises API de valorisation de donn es pour de grands clients internationaux La formation et la veille technologique sur du temps r serv ainsi que le partage des connaissances par des pr sentations entres membres de l quipe font partie du mode de fonctionnement du Data Lab.</p><p>Les missions : Vous d veloppez des solutions d ploy es sur nos infrastructures de containers ou dans le cloud, et vous mettez en place le monitoring en production Vous participez aux revues de code des autres membres de l quipe pour partager les connaissances et assurer la qualit des d veloppements Vous proposez des solutions techniques et participez la veille technologique</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Description de l'entreprise Chez Coface, nous faisons avancer le commerce chaque jour. Nos 5 200 experts, repr sentant plus de 80 nationalit s dans 58 pays, sont unis par une mission commune : aider les entreprises naviguer dans l incertitude en leur donnant les moyens de prendre les bonnes d cisions et de commercer plus intelligemment dans un monde complexe. Avec pr s de 80 ans d exp rience internationale, nous proposons aux entreprises une gamme compl te de solutions : assurance-cr dit, informations d entreprise, recouvrement de cr ances, assurance risque unique, cautions, affacturage le tout port par un patrimoine de donn es unique, une technologie de pointe, de l innovation et une compr hension approfondie de l conomie mondiale. Rejoindre Coface, c est int grer une organisation internationale soud e, o vos id es comptent. Nous cultivons une culture d apprentissage, de collaboration et d inclusion, o vous avez des responsabilit s et pouvez constater l impact de vos actions. Fa onnez l avenir du commerce avec nous. Rejoignez les Happeners !</p><p>Qualifications Dipl me d Ing nieur ou quivalent Deux ann es ou plus d exp rience dans un r le similaire D veloppement d application Python avec des standards de qualit lev s et la mise en uvre de bonnes pratiques de revues de code et d int gration continue. Utilisation de bases de donn es SQL et NoSQL (MongoDB, Neo4j, ElasticSearch, Redis ) Mise en place de dashboards de monitoring (Kibana, Grafana) Autonomie, curiosit , travail en quipe et partage des connaissances Communication en Anglais (projets dans des contextes internationaux)</p><p>Comp tences appr ci es : Mise en uvre de cha ne CI/CD et d ploiement Docker/Kubernetes Conception d architectures d application avec haute disponibilit Comp tences en librairies orient es data science (e.g. Pandas) Connaissance en administration Linux D ploiement d'application dans le cloud et infrastructure-as-code Programmation front-end (React ou Angular ou Vue.js )</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>Capgemini</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its practices. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This culture is reinforced by a strong <strong>organizational dimension</strong>, ensuring process rigor, reliability and operational efficiency. It is complemented by a <strong>competitive component</strong> focused on performance and customer satisfaction, while a more moderate <strong>innovation dimension</strong> supports the continuous evolution of services and expertise. </p><br><br> <br> Job : <p>Within our project teams, you will be involved in the development and evolution of Full Stack <strong>Java / React</strong> business applications for major clients, in complex technical environments. As a Software Engineer, your main tasks will be:</p><br><br><ul><li>Design, develop, and maintain robust and scalable backend Java and frontend React applications.</li><li>Participate in the analysis of functional needs and the technical design of solutions.</li><li>Implement modern architectures (REST API, microservices...).</li><li>Ensure code quality through best development practices (clean code, testing, CI/CD).</li><li>Collaborate closely with multidisciplinary teams (QA, DevOps, architects, business stakeholders) in an Agile environment.</li><li>Participate in code reviews and contribute to the continuous improvement of application performance and quality.</li><li>Be proactive in technical choices and application evolutions.</li></ul> <br> Required profile : <ul><li>Graduate of a Bac+4/+5 in computer science or equivalent.</li><li>Confirmed experience of 5 years or more in Full Stack Java / React development.</li><li>Very good command of Java (Spring, Spring Boot) and React (Hooks, Redux or equivalent).</li><li>Good knowledge of modern web architectures (REST API, microservices) and relational databases.</li><li>Comfortable in an Agile environment.</li><li>Autonomy, rigor, analytical skills, and team spirit.</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Capgemini Engineering, a global leader in engineering services, brings together teams of engineers, scientists, and architects to help the world's most innovative companies unlock their potential. From self-driving cars to life-saving robots, our digital and software technology experts think outside the box by providing unique R&amp;D and engineering services across all business sectors. Join us for a career full of opportunities, where you can make a difference and no day is the same.</p><p>Capgemini Engineering is recruiting 2 interns: Mobile Developer Intern and Back-End / Full Stack Developer Intern, Bac+5 in Casablanca for a duration of 2-3 months.</p><p>As part of our CSR initiative, the Smart Carpool Network, an internal carpooling mobile application designed to reduce our employees' Scope 3 emissions, we are looking for two profiles to move from design to development.</p><p>The interns will build a real application from A to Z: geolocalized matching, real-time CO2 calculation, gamification, Azure deployment. A technical project with a concrete and measurable environmental impact.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Stagiaire Développeur Mobile (Flutter)</h2><p>Mastery of Flutter/Dart, REST API integration, Firebase/Supabase, Google Maps API, mobile interface management, and user experience.</p><p>He/She will be responsible for the development of the mobile application and all user-side functionalities.</p><h2>Stagiaire Développeur Back-End / Full Stack</h2><p>Mastery of Java Spring Boot or Node.js, REST API, databases (PostgreSQL/MySQL/Firebase), Git, and notions of security/GDPR.</p><p>He/She will be responsible for the design of back-end services, the database, the matching engine, authentication, notifications, and the calculation of impact indicators (CO2, shared kilometers, etc.).</p><h2>Profile Sought:</h2><ul><li>Level: Bac+5 / Master / Engineering School</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>Chez Devoteam, nous sommes des « Digital Transformakers ». Le respect, la franchise et la passion animent chaque jour notre tribu.&nbsp;</p><br><p>Ensemble, nous aidons nos clients à remporter la bataille du Digital : du conseil à la mise en œuvre de technologies innovantes, jusqu’à l’adoption des usages.</p><br><p>Cloud, Cybersecurity, Data, DevOps, Fullstack Dev, Low Code, RPA n’ont plus aucun secret pour notre tribu !&nbsp;</p><br><p>Nos 10 000+ collaborateurs sont certifiés, formés et accompagnés au quotidien pour relever de nouveaux challenges innovants.</p><br><p>Leader du Cloud, de la Cybersécurité et de la Data en EMEA, le Groupe Devoteam a réalisé en 2022 un chiffre d’affaires de 1,036 milliard d’euros et se donne pour ambition de le doubler dans les 5 années à venir.</p><br><p>Devoteam Maroc, acteur de référence dans les expertises IT depuis plus de 30 ans&nbsp; (350+ consultants) accélère sa croissance en développant ses activités d’expertise en nearshore pour répondre aux besoins de nos clients français, européens et moyen orientaux.</p><br><p><strong>Es-tu prêt(e) à nous rejoindre et relever ensemble ce défi ?</strong></p><br><br>Job Description<br><p>En tant que <strong>Test Lead Automation</strong>, vous serez responsable de la stratégie d’automatisation des tests et de l’encadrement des équipes QA. Vous garantirez la qualité des applications en développant des frameworks de test robustes et en assurant la mise en place des bonnes pratiques.</p><br><p>Vos missions incluent :</p><br><ul><li>Définition et mise en œuvre de la stratégie d’automatisation des tests.</li><li>Conception, développement et maintenance des frameworks de tests automatisés.</li><li>Encadrement et coordination d’une équipe de testeurs (automatisation et fonctionnel).</li><li>Élaboration des plans de tests et exécution des campagnes de tests automatisés.</li><li>Collaboration avec les équipes de développement, DevOps et métiers pour garantir la qualité des livrables.</li><li>Amélioration continue des processus de test et intégration des nouvelles technologies et outils.</li><li>Analyse des résultats des tests et reporting des anomalies.</li><li>Veille technologique et recommandation des meilleures pratiques en matière d’automatisation des tests.</li></ul><p><strong>Compétences requises</strong></p><br><p><strong>Compétences techniques</strong></p><br><ul><li>Maîtrise des outils et frameworks d’automatisation : <strong>Playwright, Robot Framework</strong></li><li>Bonne connaissance des langages de scripting : <strong>Python, Java</strong></li><li>Expérience avec les outils de gestion de test (TestRail, Zephyr, Xray)</li><li>Connaissance des pipelines CI/CD (Jenkins, GitLab CI/CD, Azure DevOps)</li><li>Expérience avec les API REST et leur validation via des tests automatisés</li><li>Connaissance des méthodologies Agile (Scrum, Kanban)</li></ul><p><strong>Compétences comportementales (Soft Skills)</strong></p><br><ul><li>Leadership et capacité à encadrer une équipe.</li><li>Esprit d’analyse et de résolution de problèmes.</li><li>Bonne communication et pédagogie.</li><li>Rigueur et souci du détail.</li><li>Capacité à travailler en équipe et à collaborer avec les différentes parties prenantes.</li></ul><br>Qualifications<br><p><strong>Profil recherché</strong></p><br><ul><li><strong>Formation</strong> : Bac+5 en Informatique, Génie Logiciel ou équivalent.</li><li><strong>Expérience</strong> : 5 à 10 ans en testing, dont une expérience significative en automatisation et en encadrement d’équipe.</li><li><strong>Langues</strong> : Français et anglais (technique) requis.</li></ul><p><strong>Avantages</strong></p><br><ul><li>Environnement de travail dynamique et innovant.</li><li>Possibilités de formation et de montée en compétences.</li><li>Télétravail partiel possible selon le poste.</li><li>Participation à des conférences et événements tech.</li></ul><br>Additional Information<br><ul><li>https://www.linkedin.com/company/devoteam</li><li>https://twitter.com/devoteam</li><li>https://www.facebook.com/devoteam</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p>The Test Support Planning Pilot role involves :</p><br><br><ul><li> Coordinating and optimizing the planning of vehicle testing activities</li><li>Ensuring that each test is scheduled efficiently in alignment with the mission's objectives and client requirements</li><li>Creation of detailed test plans for specific vehicle programs, followed by continuous monitoring and real time updates to adapt to evolving priorities, technical constraints, and resource availability.</li><li>The PPOSE acts as a central point of contact between engineering teams, test centers, and clients, ensuring that all stakeholders are aligned and that the planning remains both realistic and flexible to meet program deadlines and quality expectations</li></ul> <br> Required profile : <ul><li><strong>Education :</strong> Bac + 5 engineering</li><li><strong>Experience:</strong> 1 to 4 years of experience.</li></ul><br><ul><li><strong>Core Competencies:</strong> Schedule and Project Management fundamentals</li><li><strong>Domain Knowledge:</strong> Automotive knowledge</li><li><strong>Communication:</strong> Clear, assertive, and regular communication with multiple stakeholders (test teams, engineers, project managers, clients) is key, but challenging-especially when managing disagreements or negotiating compromises.</li><li><strong>Adaptability:</strong> Frequent changes, urgent re-planning, and late-stage issues require emotional resilience, flexibility, and a calm approach under pressure to maintain planning coherence without burnout.</li><li><strong>Technical Skills:</strong> Even though the consultant is not executing the tests, a solid grasp of test typologies, vehicle architecture, and department procedures is critical to plan realistically and detect inconsistencies. Gaps in this technical knowledge can lead to errors or inefficiencies.</li></ul><br><ul><li><strong>Languages:</strong> English &amp; French fluent (B2/C1)</li><li><strong>Main tools:</strong><ul><li>Planisware</li><li>Power BI</li><li>Advanced Excel</li></ul></li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Creates and reviews test technology local work instructions Supports: - test equipment and test tools development (design, test modules, specific processes, etc.) - technical error analyzes for customer claims and complaints - the identification of root causes in case of process disturbances and searching for solutions Creates and develops the test sequences and programs according to requirements - for building of test tables, test boards and vision tests, internally or externally - for installation and validation of test equipment - in order to change the test programs, test tables, test boards and vision systems during product changes and new introduction (Change Management &amp; Project Management) Ensures test programs and test parameters used during initial setup Provides feedback to Production Technology related to test modules functionality and design Ensures backup of test programs and test parameters Implements lessons learned, best practice and actively shares the information within the Production Management network</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Bachelor s degree (2 or 3 years) in Mechanical Engineering or Industrialization/Methods.</font></font></p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p><strong>About AbbVie</strong></p><br><p>AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;www.abbvie.com. Follow @abbvie on&nbsp;LinkedIn,&nbsp;Facebook,&nbsp;Instagram,&nbsp;X&nbsp;and&nbsp;YouTube.</p><br><br>Job Description<br><br><p>Independently performs routine and non-routine testing. Performs laboratory testing within a GMP environment in support of one or more of the following areas; raw materials, in-process product, final Bulk product, stability, and/or validation. Analyzes test data, evaluates results and forms conclusions with minimal outside input. Is able to recognize laboratory technique or instrumental events that could impact the integrity of the test data. Recognizes and resolves simple to moderately complex technical problems. Writes procedures with minimal guidance. Works under the general guidance of a supervisor but can effectively manage their own time to ensure timely completion of assigned duties. Trends data to support assay performance. Effectively writes all types of exception reports. Responsibility includes technical writing and execution of test method to support new product introduction into Quality Control.</p><br><p>Responsibilities</p><br><ul><li>Performs more complex test methods as written to support product/material release with minimal error.</li><li>Understands laboratory techniques and principles performed.</li><li>Interprets experimental data for conformance with product/material specifications.</li><li>Understands, implements and maintains GMP with respect to laboratory records, procedures, and systems in accordance with procedural requirements.</li><li>Assists with writing and performs validation assays per approved protocols.</li><li>Can effectively perform a multitude of laboratory techniques for which they are trained on with minimal error.</li><li>Make recommendations for process improvement.</li><li>Writes/revises procedures as necessary and provides support for department.</li><li>Develops and maintains trend reports, backlog report, and document error reports which support departmental performance.</li><li>Authors all types of Investigations and deviations effectively. Assist in troubleshooting assays.</li></ul><br>Qualifications<br><br><ul><li>BA/BS in Chemistry, Biochemistry, Medical Technology, Biology or equivalent science degree.</li><li>5-8 years of related work experience</li><li>Maintains their certifications as needed for assigned job tasks.</li></ul><br>Additional Information<br><br><p>Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​</p><br><ul><li><p>The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this role at the&nbsp;time&nbsp;of&nbsp;this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on many factors including geographic&nbsp;location,&nbsp;and&nbsp;we&nbsp;may ultimately pay more or less than the posted range. This range may be modified in the&nbsp;future.&nbsp;​</p><br></li><li><p>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​</p><br></li><li><p>This job is eligible to participate in our short-term incentive&nbsp;programs. ​</p><br></li></ul><p>Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount is earned, vested, and&nbsp;determinable.&nbsp;The&nbsp;amount&nbsp;and&nbsp;availability&nbsp;of any&nbsp;bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;that are allocable to a particular employee remains in the Company's&nbsp;sole&nbsp;and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be modified at the Company’s sole and absolute discretion, consistent with&nbsp;applicable law.&nbsp;</p><br><p>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.&nbsp;</p><br><p>US &amp; Puerto Rico only - to learn more, visit&nbsp;https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html</p><br><p>US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:</p><br><p>https://www.abbvie.com/join-us/reasonable-accommodations.html</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <ul> <li> <font dir="auto" ><font dir="auto" >Analyze non-functional requirements</font></font> </li> <li> <font dir="auto" ><font dir="auto" >Design and implement performance testing strategies.</font></font> </li> <li> <font dir="auto" ><font dir="auto" >Develop, maintain and execute load, stress and endurance test scripts.</font></font> </li> <li> <font dir="auto" ><font dir="auto" >Analyze test results and produce detailed reports with recommendations</font></font> </li> <li> <font dir="auto" ><font dir="auto" >Integrate performance testing into CI/CD pipelines.</font></font> </li> <li> <font dir="auto" ><font dir="auto" >Ensure follow-up on fixes and re-test after optimization.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications </b></p><div> <ul> <li><font dir="auto" ><font dir="auto" >Testing tools: </font><strong><em><font dir="auto" >Gatling,</font></em></strong><strong><font dir="auto" > k6</font></strong></font><strong> <em><font dir="auto" ></font></em><font dir="auto" ></font></strong> </li> <li><font dir="auto" ><font dir="auto" >Solid experience in performance testing</font></font></li> <li><font dir="auto" ><font dir="auto" >Good team spirit and excellent communication.</font></font></li> </ul> <p> </p> <ul> <li> <p><font dir="auto" ><font dir="auto" >Bachelor's degree (or equivalent) in computer science.</font></font></p> </li> <li> <p><font dir="auto" ><font dir="auto" >4 years of experience in performance testing.</font></font></p></li></ul></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b>Job Description </b><div> <p> we are looking for a Test Engineer To support the successful delivery of the Talend to TIBCO migration by validating that all integrations are accurately migrated and operate in line with existing business processes. The role ensures data integrity, functional accuracy, and readiness for release across sprint-based delivery waves.</p> <p>-Design and execute test cases across integration jobs (batch, file-based, API)</p> <p> Validate migrated integrations against existing Talend behaviour</p> <p> Perform system and integration testing across environments</p> <p> Conduct data validation and reconciliation (accuracy, completeness, no duplication)</p> <p> Support business validation and User Acceptance Testing (UAT)</p> <p> Log, track, and retest defects, supporting triage and prioritisation</p> <p> Produce test summaries to support go/no-go decisions</p> <p> Validate deployments and support post-release testing</p> <p> Maintain test documentation and evidence for audit purposes</p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications </b></p><div> <p> Experience in integration or ETL testing</p> <p> Strong data validation and reconciliation skills</p> <p> Understanding of APIs, batch processing and file-based integrations</p> <p> Experience working in agile delivery environments</p> <p> Strong attention to detail and documentation</p> <p> Ability to work across technical and business stakeholders</p> <p> </p></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p><font dir="auto" ><font dir="auto" >As part of strengthening our QA team, we are looking for an experienced Test Lead, strategy-oriented and capable of supporting teams in the implementation and execution of good testing practices on Fullstack environments.</font></font></p> <p><font dir="auto" ><font dir="auto" >Main missions</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >To define and manage the project's testing strategy</font></font></li> <li><font dir="auto" ><font dir="auto" >To supervise and coordinate QA activities within the team</font></font></li> <li><font dir="auto" ><font dir="auto" >Design, execute and maintain functional and automated test scenarios</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in API, Web and Mobile testing</font></font></li> <li><font dir="auto" ><font dir="auto" >Monitor and prioritize anomalies</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating closely with the business, development and product teams</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensuring the quality of deliverables in an Agile environment</font></font></li> <li><font dir="auto" ><font dir="auto" >Produce QA reports and communicate the progress of test campaigns</font></font></li> <li><font dir="auto" ><font dir="auto" >Contributing to the continuous improvement of quality processes</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p><font dir="auto" ><font dir="auto" >Technical skills required</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Solid experience as a </font></font><strong><font dir="auto" ><font dir="auto" >Test Lead / QA Lead</font></font></strong> </li> <li><font dir="auto" ><strong><font dir="auto" >Good luck with your Playwright</font></strong><font dir="auto" > trifle</font></font><strong><font dir="auto" ></font></strong> </li> <li><font dir="auto" ><strong><font dir="auto" >Experience in Fullstack</font></strong><font dir="auto" > environments</font></font><strong><font dir="auto" ></font></strong> </li> <li><font dir="auto" ><font dir="auto" >Experience in:</font></font><ul> <li>Tests API</li> <li>Tests Mobile</li> <li><font dir="auto" ><font dir="auto" >Functional and automated testing</font></font></li> </ul> </li> <li><font dir="auto" ><font dir="auto" >My mastery of the tools:</font></font><ul> <li> <strong><font dir="auto" ><font dir="auto" >EXISTS</font></font></strong> </li> <li> <strong>XRAY</strong> </li> </ul> </li> <li><font dir="auto" ><strong><font dir="auto" >Good knowledge of Agile/Scrum</font></strong><font dir="auto" > methodologies</font></font><strong><font dir="auto" ></font></strong> </li> <li><font dir="auto" ><font dir="auto" >Ability to define a QA strategy adapted to projects</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >LANGUAGES</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Very good level of </font></font><strong><font dir="auto" ><font dir="auto" >English</font></font></strong><font dir="auto" ><font dir="auto" > (mainly used on a daily basis)</font></font></li> <li><font dir="auto" ><font dir="auto" >Good level of French</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >Search profile</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Minimum </font></font><strong><font dir="auto" ><font dir="auto" >8 years of experience</font></font></strong><font dir="auto" ><font dir="auto" > in a similar role</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent communication and good professional demeanor</font></font></li> <li>Profil orient leadership, coordination et strat gie</li> <li><font dir="auto" ><font dir="auto" >Analytical mind and sense of organization</font></font></li> <li><font dir="auto" ><font dir="auto" >Autonomy and ability to work in an international context</font></font></li> </ul> <p>Soft Skills</p> <ul> <li><font dir="auto" ><font dir="auto" >International Environment FR/ENG</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaboration with multidisciplinary technical teams</font></font></li></ul></div><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for executing test cases, validating results and managing test data, primarily in remote-capable environments ( SiL , log-based validation, partially HiL support) Structured and disciplined execution mindset Ability to interpret results, not just record them Experience with large test campaigns</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>EXPERTISE Execute defined test cases in SiL / remote environments</li><li>Collect and analyze test data and logs</li><li>Identify deviations and prepare structured reports</li><li>Support PR (Problem Report) creation and tracking</li><li>Ensure data quality and completeness</li><li>Interface with automation and test design teams</li><li>Experience in Test execution, Data analysis, log interpretation</li><li>Basic understanding of vehicle systems and ECU behavior</li><li>Experience between 3 - 5 years'</li></ul><p></p></section>