DevOps Engineer Jobs - Tunis Tunisia

<p>Essential Job Functions: Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments. Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation. Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes. Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies. Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications. Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling. Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</p><p><strong>Desired Candidate Profile</strong></p><b>Basic Qualifications:</b><p>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience. Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles. Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments. Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices. Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services. Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms. Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration. Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions. Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices. Proficiency in automation scripting using Bash, Python, or similar languages.</p><b>Other Qualifications:</b><p>Experience with infrastructure-as-code and cloud automation technologies is a plus. Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred. Strong problem-solving, troubleshooting, and analytical skills. Excellent communication and collaboration skills with cross-functional technical teams. Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description:</b></p><br><p><b>Essential Job Functions:</b></p><br><p><br><span>• Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments.</span><br><span>• Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation.</span><br><span>• Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes.</span><br><span>• Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies.</span><br><span>• Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications.</span><br><span>• Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling.</span><br><span>• Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</span><br><b>Basic Qualifications:</b><br><span>• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.</span><br><span>• Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles.</span><br><span>• Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments.</span><br><span>• Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices.</span><br><span>• Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services.</span><br><span>• Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms.</span><br><span>• Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration.</span><br><span>• Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions.</span><br><span>• Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices.</span><br><span>• Proficiency in automation scripting using Bash, Python, or similar languages.</span><br><b>Other Qualifications:</b><br><span>• Experience with infrastructure-as-code and cloud automation technologies is a plus.</span><br><span>• Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred.</span><br><span>• Strong problem-solving, troubleshooting, and analytical skills.</span><br><span>• Excellent communication and collaboration skills with cross-functional technical teams.</span><br><span>• Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.</span></p><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.&nbsp;More information on employment scams is available</span></b>&nbsp;<span>here</span><span><b><i>.</i></b></span></p><br> </div>

<p>Essential Job Functions: Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments. Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation. Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes. Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies. Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications. Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling. Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles.</li><li>Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments.</li><li>Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices.</li><li>Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services.</li><li>Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms.</li><li>Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration.</li><li>Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions.</li><li>Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices.</li><li>Proficiency in automation scripting using Bash, Python, or similar languages.</li><li>Experience with infrastructure-as-code and cloud automation technologies is a plus.</li><li>Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred.</li><li>Strong problem-solving, troubleshooting, and analytical skills.</li><li>Excellent communication and collaboration skills with cross-functional technical teams.</li><li>Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description:</b></p><br><p><b>Essential Job Functions:</b><br><span>• Design, implement, and maintain automated CI/CD pipelines to support secure and reliable application delivery across multiple repositories and environments.</span><br><span>• Manage and optimize Kubernetes-based platforms, including cluster operations, deployments, Helm chart management, scaling, and environment isolation.</span><br><span>• Establish and maintain GitOps deployment practices, container registry management, and automated application lifecycle processes.</span><br><span>• Configure and support networking components, including API gateways, ingress controllers, TLS certificates, DNS integration, and network security policies.</span><br><span>• Implement secure infrastructure services, including secrets management, managed identities, and controlled execution environments for modern cloud-native applications.</span><br><span>• Deploy and maintain AI agents and MCP server components using standardized automation frameworks, reusable templates, and platform tooling.</span><br><span>• Collaborate with development, security, and operations teams to ensure scalable, secure, and highly available cloud infrastructure solutions.</span><br><b>Basic Qualifications:</b><br><span>• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.</span><br><span>• Typically, 3+ years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or related infrastructure roles.</span><br><span>• Hands-on experience managing Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon EKS, or equivalent container orchestration environments.</span><br><span>• Strong knowledge of Helm, container orchestration, and cloud-native application deployment practices.</span><br><span>• Experience with Azure cloud services, including Azure Container Registry (ACR), Azure Key Vault, Blob Storage, and container-based compute services.</span><br><span>• Proven experience designing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or comparable automation platforms.</span><br><span>• Expertise in Docker containerization, multi-stage build processes, image scanning, and registry administration.</span><br><span>• Familiarity with GitOps methodologies and tools such as ArgoCD, Flux, or equivalent solutions.</span><br><span>• Solid understanding of networking concepts, including ingress controllers, API gateways, DNS, TLS, and cloud security best practices.</span><br><span>• Proficiency in automation scripting using Bash, Python, or similar languages.</span><br><b>Other Qualifications:</b><br><span>• Experience with infrastructure-as-code and cloud automation technologies is a plus.</span><br><span>• Familiarity with AI platform operations, MCP services, and modern agent deployment architectures is preferred.</span><br><span>• Strong problem-solving, troubleshooting, and analytical skills.</span><br><span>• Excellent communication and collaboration skills with cross-functional technical teams.</span><br><span>• Relevant certifications in Azure, Kubernetes (CKA/CKAD), DevOps, or cloud technologies are a plus.</span></p><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.&nbsp;More information on employment scams is available</span></b>&nbsp;<span>here</span><span><b><i>.</i></b></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary We are looking for a Senior Backend Developer with strong experience in Node.<br>js, microservices, Camunda workflows, and enterprise integrations .<br> The candidate should have strong development and production troubleshooting/problem-solving skills , with the ability to investigate complex issues across microservices, workflows, messaging systems, APIs, and databases.<br> Develop and maintain backend services and microservices using Node.<br>js / TypeScript .<br> Develop and support REST/GraphQL APIs and system integrations.<br> Develop, maintain, and troubleshoot Camunda workflows , preferably Camunda.<br> Investigate failed or stuck workflows, workers, incidents, and process execution issues.<br> Develop and troubleshoot messaging integrations using RabbitMQ and Azure Service Bus .<br> Investigate production issues across APIs, microservices, workflows, queues, databases, and external integrations.<br> Perform root-cause analysis and implement permanent technical solutions.<br> Work with Git/GitLab , including branching, merging, cherry-pick, rebase, conflict resolution, and release/hotfix activities.<br> Understand and troubleshoot existing Java/Spring Boot services.<br> Participate in code reviews, deployments, production support, and critical incident resolution.<br> Collaborate with DevOps, Infrastructure, QA, Integration, and other technical teams handling Oracle structural databases</span> </div>

<p>Develop, maintain, and enhance shared platform libraries and reusable components that support multiple applications, services, and AI-enabled solutions. Design and implement cross-functional features spanning backend services, frontend applications, and AI agent ecosystems to ensure seamless platform integration. Define and execute comprehensive testing strategies, including unit testing, integration testing, and end-to-end validation to ensure platform reliability and quality. Improve developer productivity by enhancing local development environments, technical documentation, debugging tools, and engineering best practices. Rapidly prototype and iterate innovative AI agents, user interfaces, forms, and mini-applications using vibecoding frameworks and reusable platform tooling. Support software release management activities, including version control, environment promotion processes, deployment validation, and production readiness reviews. Monitor, troubleshoot, and resolve production incidents across platform components while contributing to continuous service improvement and operational excellence. Collaborate with engineering, product, and business teams to deliver scalable, secure, and high-quality technology solutions.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent combination of education and experience.</li><li>Typically, 3+ years of professional experience in full-stack software development using Python and modern JavaScript/TypeScript frameworks.</li><li>Hands-on experience developing both backend services and frontend applications using technologies such as FastAPI, Next.js, React, or equivalent frameworks.</li><li>Strong understanding of software testing methodologies and experience with testing frameworks such as pytest, Jest, Playwright, or similar tools.</li><li>Familiarity with Docker containerization, CI/CD practices, and Kubernetes fundamentals within cloud-native environments.</li><li>Demonstrated ability to quickly learn and adopt new development frameworks, tools, protocols, and emerging technologies.</li><li>Working knowledge of AI and Large Language Model (LLM) concepts, including agent architectures, prompt engineering, and external tool integration patterns.</li><li>Strong debugging, troubleshooting, and incident response capabilities in production environments.</li><li>Experience contributing to collaborative software development processes using modern version control and DevOps practices.</li><li>Experience working within platform engineering, developer productivity, or internal tooling teams is a plus.</li><li>Familiarity with AI agent platforms, orchestration frameworks, and modern application integration architectures is preferred.</li><li>Strong analytical thinking, problem-solving, and decision-making skills.</li><li>Excellent communication and collaboration abilities in cross-functional team environments.</li><li>Relevant certifications in Software Development, Cloud Technologies, DevOps, Artificial Intelligence, or related disciplines are a plus.</li><li>Passion for continuous learning, innovation, and improving engineering efficiency across the software development lifecycle.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description:</b></p><br><p><b>Essential Job Functions:</b><br><span>• Develop, maintain, and enhance shared platform libraries and reusable components that support multiple applications, services, and AI-enabled solutions.</span><br><span>• Design and implement cross-functional features spanning backend services, frontend applications, and AI agent ecosystems to ensure seamless platform integration.</span><br><span>• Define and execute comprehensive testing strategies, including unit testing, integration testing, and end-to-end validation to ensure platform reliability and quality.</span><br><span>• Improve developer productivity by enhancing local development environments, technical documentation, debugging tools, and engineering best practices.</span><br><span>• Rapidly prototype and iterate innovative AI agents, user interfaces, forms, and mini-applications using vibecoding frameworks and reusable platform tooling.</span><br><span>• Support software release management activities, including version control, environment promotion processes, deployment validation, and production readiness reviews.</span><br><span>• Monitor, troubleshoot, and resolve production incidents across platform components while contributing to continuous service improvement and operational excellence.</span><br><span>• Collaborate with engineering, product, and business teams to deliver scalable, secure, and high-quality technology solutions.</span><br><b>Basic Qualifications:</b><br><span>• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent combination of education and experience.</span><br><span>• Typically, 3+ years of professional experience in full-stack software development using Python and modern JavaScript/TypeScript frameworks.</span><br><span>• Hands-on experience developing both backend services and frontend applications using technologies such as FastAPI, Next.js, React, or equivalent frameworks.</span><br><span>• Strong understanding of software testing methodologies and experience with testing frameworks such as pytest, Jest, Playwright, or similar tools.</span><br><span>• Familiarity with Docker containerization, CI/CD practices, and Kubernetes fundamentals within cloud-native environments.</span><br><span>• Demonstrated ability to quickly learn and adopt new development frameworks, tools, protocols, and emerging technologies.</span><br><span>• Working knowledge of AI and Large Language Model (LLM) concepts, including agent architectures, prompt engineering, and external tool integration patterns.</span><br><span>• Strong debugging, troubleshooting, and incident response capabilities in production environments.</span><br><span>• Experience contributing to collaborative software development processes using modern version control and DevOps practices.</span><br><b>Other Qualifications:</b><br><span>• Experience working within platform engineering, developer productivity, or internal tooling teams is a plus.</span><br><span>• Familiarity with AI agent platforms, orchestration frameworks, and modern application integration architectures is preferred.</span><br><span>• Strong analytical thinking, problem-solving, and decision-making skills.</span><br><span>• Excellent communication and collaboration abilities in cross-functional team environments.</span><br><span>• Relevant certifications in Software Development, Cloud Technologies, DevOps, Artificial Intelligence, or related disciplines are a plus.</span><br><span>• Passion for continuous learning, innovation, and improving engineering efficiency across the software development lifecycle.</span></p><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.&nbsp;More information on employment scams is available</span></b>&nbsp;<span>here</span><span><b><i>.</i></b></span></p><br> </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 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><b>Job Description:</b></p><br><p><b>Essential Job Functions:</b><br><span>• Design, develop, and maintain high-performance asynchronous Python APIs using FastAPI, Pydantic, and SQLAlchemy 2.0.</span><br><span>• Lead PostgreSQL database design activities, including schema modeling, migrations, and query optimization to ensure scalability and reliability.</span><br><span>• Implement and enhance secure authentication and authorization frameworks, including RBAC, OAuth2/OIDC, JWT validation, and API gateway policies.</span><br><span>• Define and govern API standards, including contract design, versioning strategies, and integration best practices across distributed systems.</span><br><span>• Build, deploy, and maintain AI agents using reusable vibecoding templates and blueprint-based development frameworks.</span><br><span>• Configure agent-to-tool integrations through MCP protocols, manage LLM routing strategies, and support AI-driven solution delivery.</span><br><span>• Collaborate with cross-functional teams to deliver secure, scalable, and innovative backend and AI-powered solutions.</span><br><b>Basic Qualifications:</b><br><span>• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience.</span><br><span>• Typically, 5+ years of professional experience developing backend applications with Python and modern web frameworks.</span><br><span>• Strong expertise in asynchronous Python development, FastAPI (or equivalent frameworks), and modern API design principles.</span><br><span>• Proven experience with PostgreSQL, including schema design, indexing, partitioning, migrations, and performance tuning.</span><br><span>• Hands-on experience implementing OAuth2, OpenID Connect (OIDC), JWT authentication, and integration with enterprise identity providers such as Microsoft Entra ID (Azure AD).</span><br><span>• Experience working with API gateway platforms such as Kong, Apigee, or similar technologies.</span><br><span>• Familiarity with Docker, Kubernetes fundamentals, and CI/CD pipeline implementation.</span><br><span>• Working knowledge of Large Language Model (LLM) APIs, prompt engineering techniques, and agent orchestration concepts.</span><br><b>Other Qualifications:</b><br><span>• Experience with AI agent frameworks, workflow automation, and MCP-based integrations is a plus.</span><br><span>• Knowledge of cloud-native architectures and modern distributed systems is preferred.</span><br><span>• Strong analytical, problem-solving, and communication skills.</span><br><span>• Demonstrated ability to learn emerging technologies and apply them in innovative business solutions.</span><br><span>• Relevant certifications in cloud technologies, DevOps, cybersecurity, or AI/ML are a plus.</span></p><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.&nbsp;More information on employment scams is available</span></b>&nbsp;<span>here</span><span><b><i>.</i></b></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>At ITRS, we make society's critical technology work.<br> Our mission is to deliver automated and holistic IT observability solutions that safeguard critical applications and enable innovation.<br> We are the only monitoring and observability platform designed for the most demanding and regulated industries — trusted by 90% of Tier 1 capital markets firms.<br> We believe when our team thrives, so do our customers.<br> With us, you'll find: A culture that backs you – We're proud to be a Great Place to Work for multiple years in a row due to our inclusive, supportive environment.<br> Work that matters – Make a real difference with 1,000s of global customers in industries that keep the world running, including 9 out of 10 top investment banks.<br> Room to grow – Whether you're starting your career or bringing years of experience, we're committed to your development.<br> Just ask our team members who've been excelling here for 10+ years.<br> With headquarters in London and teams across the US, Europe, Africa and Asia, ITRS combines the agility of a high-impact tech business with the stability of a private equity–backed global partner.<br> Scope of Role The ITRS IT Support works internally across the organisation to ensure a secure, reliable, and efficient working environment that enables employees to perform their roles effectively.<br> The function provides global technical support to ITRS offices and staff, covering end-user services, cloud platforms, and core IT infrastructure.<br> The role includes responsibility for supporting and maintaining internal IT systems, cloud services, office and data centre infrastructure, and critical platforms such as domain controllers, identity and access management, networking, and related services.<br> The team acts as a key operational interface between users and underlying systems, ensuring availability, performance, and security across on-premises and cloud environments.<br> This role is front line (Level 1 basic support, level 2 in depth analysis, Level 3 root cause investigation and correction, including working closely with technical departments and staff), helping ITRS staff with their IT issues.<br> As an Senior IT &amp; System Administrator, you will: Contribute to and maintain the continuity of the IT infrastructure across the whole ITRS Group IT landscape.<br> Contribute to enhancing efficiency in every department by providing the necessary tools and equipment essential to the individual roles.<br> Coordinate with team leads for their requirement for hardware, peripherals, software, access, and cloud provisioning.<br> Proactively working with various stakeholders, such as DevOps and Customer Success teams for the proper designation of roles and handling/preventive maintenance of the servers.<br> Provide, protect and maintain the cybersecurity of ITRS across assets, resources, software, hardware, infrastructure, access codes and firewalls.<br> Contributing to the positive usr experience in using IT and security infrastructure and equipment.<br> Group health insurance (or simply Group insurance, depending on context) Meal vouchers Performance bonus Referral Bonus Buy and Sell Holiday Training Reimbursement ITRS is an Equal Opportunity employer and Inclusion is part of our everyday life.<br> We celebrate diversity and pride ourselves on providing an environment where all employees can be their authentic selves and have a voice, allowing everyone to contribute equally.<br> We remain committed to advocating inclusion, diversity, and equality into our ITRS family as we grow and enrich our business.<br> We welcome applications from everyone in the community as we recognise that a diverse workforce is a stronger workforce.<br> You will have: 7 years’ professional experience within IT Support, Desktop Support, L2 or L3 systems administration infrastructure support.<br> Strong understanding of networking and infrastructure technologies.<br> Experience troubleshooting complex technical issues.<br> Experience managing servers, endpoints and cloud services.<br> Strong understanding of IT security principles.<br> Excellent problem-solving and analytical skills.<br> Ability to work independently and take ownership of technical issues.<br> Fluent in written and spoken English Desirable Qualifications ITIL Foundation Windows and Linux server Networking and storage</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">As part of the scaling of its software development activities in Tunisia, Questel is strengthening its Data as a Service (DaaS) team. This team is responsible for integrating and reconciling external data streams related to intellectual property on our platforms. The main objective is to build a single data repository to power our patent search engine, which is ranked among the world leaders in its field.</font></font></p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Your daily tasks within the team: As part of an Agile (Scrum) team and in close collaboration with the Data Engineers and the operations team, located in France and Tunisia, your missions will be to:</font></font></p> <p> <br> </p> <ul> <li> <br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Design and power: Develop and optimize robust data pipeline (ETL) architectures in Java and Spark, capable of processing massive volumes.</font></font></li> <li> <br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Exposing the data: Participating in the design and evolution of REST APIs and scalable Web Services for our SaaS solutions.</font></font></li> <li> <br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ensuring performance: Taming and optimizing our SQL queries in the face of major data volumes (more than 25 databases, several million records per database).</font></font></li> <li> <br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Ensuring quality: Automating tests (unit, integration), participating in code reviews and preparing continuous deployment (CI/CD) for the Ops team.</font></font></li> <li> <br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Supporting production: Participating in the maintenance in operational condition (MCO) and the continuous improvement of our components.</font></font></li> </ul> <p> <br> </p> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">The technical environment:</font></font></p> <ul> <li> <br>Back-End :Java (8+), Spring Boot, Python</li> <li> <br>Data &amp; Search :Spark 3, Elasticsearch, Jupyter</li> <li> <br>Stockage :MySQL, MariaDB (Volum trie importante, multi-threading)</li> <li> <br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">DevOps &amp; Tools: Git, GitLab CI, Maven, Docker, Jira</font></font></li> </ul> <p> <br> </p><p><strong>Desired Candidate Profile</strong></p><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">You have at least 5 years of experience in Java Back-End development in high data volume environments.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Multi-threading and SQL performance optimization hold no secrets for you.</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">You are recognized for your rigor (Clean Code), your autonomy and your ability to solve complex problems.</font></font></li><li> <em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">The added bonus:</font></font></em><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> You already have experience with Spark, Elasticsearch or containerization (Docker).</font></font></li></ul>

<p>We are seeking a passionate Senior Data Scientist with at least 5 years of experience in designing, building, and deploying AI and Machine Learning applications.</p><p><br></p><p>As an expert in Machine learning, Generative AI, LLMs, MLOps, and AI solution design, you will play a pivotal role in designing,&nbsp; architecting and delivering high-value AI projects for clients, while driving best practices across our technical community.</p><p><br></p><p><b>Key Responsibilities</b></p><p><br></p><p>Client Advisory: Engage with clients&nbsp; and key stakeholders to identify AI transformation opportunities and understand business goals and requirements.</p><p><br></p><p>Architecture &amp; Generative AI: Collaborate with client teams to architect, design, and deploy cutting-edge solutions powered by Generative AI and Large Language Models (LLMs).</p><p><br></p><p>Modeling &amp; Tech stack Selection: Evaluate, select, and fine-tune ML/DL/ LLM models tailored to specific business challenges using the adequate tools from AI ecosystems.&nbsp;</p><p><br></p><p>Production &amp; MLOps: Drive DevOps and MLOps best practices (CI/CD, containerization, orchestration) to automate deployment, monitoring, and performance tracking of production AI models.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><h4><br></h4><p>Technical Expertise</p><ul><li>Generative AI: Deep proficiency in Transformer architectures and foundation models LLMs/SLMs diffusion models, Information retrieval: grounding LLMs with the right Retrieval-Augmented Generation (RAG) techniques.</li><li>Machine Learning &amp; Deep Learning: Advanced expertise in Python and core frameworks (PyTorch, TensorFlow, Scikit-Learn, Transformers; etc.).</li><li>Cloud &amp; Infrastructure: Practical experience with cloud platforms ( GCP or Azure ) and containerization tools ( Docker, Kubernetes ).</li><li>Data Engineering: Solid capabilities in data collection, cleaning, feature engineering, and data pipeline design and deployment.</li><li>Computer Vision / TTS/ STT: Experience or knowledge in image recognition, object detection, VLMs, and transcription models.</li></ul><p>Soft Skills &amp; Personal Attributes</p><ul><li>Communication : Excellent written and verbal communication skills in Arabic and in English, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Problem-Solving : Strong analytical mindset capable of converting ambiguous business problems into structured technical solutions.</li><li>Mobility &amp; Flexibility : Fully willing and available for business travel between Tunis and Riyadh (KSA).</li></ul>

<p> <b>Job Description:</b> </p> Essential Job Functions <br> <p> Lead end-to-end delivery of SAP SCM deployment projects across assigned regions, business units, or workstream clusters.<br> Develop and maintain integrated project plans, schedules, milestones, RAID logs, and governance frameworks.<br> Coordinate cross-functional workstreams including EWM, Planning, Manufacturing, Finance, Data Migration, Integration, and Technical Architecture teams.<br> Manage project scope, budget tracking, resource planning, and delivery timelines to ensure successful execution.<br> Establish strong relationships with client executives, business stakeholders, and program leadership teams.<br> Facilitate project governance meetings, steering committee reviews, status reporting, and executive communications.<br> Monitor project risks, issues, dependencies, and assumptions while proactively driving mitigation and resolution strategies.<br> Oversee vendor, partner, and delivery team activities across onshore, nearshore, and offshore engagement models.<br> Coordinate integration points with Program Management Office (PMO), GTS, Group Reporting, Finance, and other transformation streams.<br> Lead go-live readiness assessments, deployment planning, cutover execution, and hypercare support coordination.<br> Drive adherence to SAP Activate methodology, project standards, quality controls, and governance requirements.<br> Ensure effective communication, collaboration, and alignment among all project participants and stakeholders.</p> <p> </p> <p> </p><p><strong>Desired Candidate Profile</strong></p><p> Bachelor's or Master's degree in Information Technology, Business Administration, Supply Chain Management, Engineering, or related field.<br> Typically 12+ years of project management experience, including leadership of SAP SCM, Logistics, Supply Chain, Manufacturing, or ERP transformation programs.<br> Proven track record delivering SAP S/4HANA Supply Chain projects involving EWM, PP, PP/DS, Manufacturing, Logistics Execution, or Integrated Business Planning solutions.<br> Strong experience managing global, regional, or multi-country deployment programs.<br> Expertise in project governance, risk management, RAID management, stakeholder engagement, and executive reporting.<br> Experience managing cross-functional and distributed delivery teams across onshore, offshore, and nearshore models.<br> Strong understanding of SAP Activate methodology and project delivery lifecycle.<br> Exceptional communication, leadership, negotiation, facilitation, and conflict-resolution skills.<br> Ability to manage multiple priorities in complex transformation environments.</p> Other Qualifications <p> PMP, PRINCE2, PMI-ACP, or equivalent project management certification preferred.<br> Experience leading SCM-focused SAP transformation programs within manufacturing, consumer goods, industrial products, life sciences, or distribution industries.<br> Knowledge of SAP S/4HANA Supply Chain, EWM, PP/DS, Manufacturing, Logistics, Finance integration, and deployment methodologies.<br> Experience with Agile, Hybrid, and Waterfall delivery approaches.<br> Familiarity with SAP Cloud ALM, Solution Manager, Jira, Azure DevOps, or similar project governance tools.<br> Experience managing large-scale global template rollouts and regional deployment programs.<br> MBA or advanced degree in Business, Supply Chain, Engineering, or Project Management is a plus.<br> Demonstrated ability to engage executive sponsors and drive successful business transformation initiatives.</p>

<p> <b>Job Description:</b> </p> Essential Job Functions <br> <p> Develop and maintain comprehensive SCM cutover plans covering EWM, IBP, PP/DS, aATP, Manufacturing, Finance, Data Migration, Integration, and Technical workstreams.<br> Coordinate end-to-end go-live readiness activities and ensure alignment across all program stakeholders.<br> Manage inventory migration, stock transfers, inventory freezes, warehouse transitions, and production cutover activities.<br> Facilitate cutover planning workshops and define responsibilities, dependencies, escalation paths, and execution timelines.<br> Coordinate and execute cutover rehearsal activities, mock cutovers, and dress rehearsals to validate deployment readiness.<br> Monitor critical path activities and proactively manage risks, issues, and dependencies impacting go-live schedules.<br> Support business readiness assessments and ensure operational teams are prepared for deployment execution.<br> Facilitate go/no-go decision processes in collaboration with Program Leadership, Business Stakeholders, and the Program Cutover Manager.<br> Prepare and distribute cutover status reports, execution dashboards, risk logs, and executive communications.<br> Coordinate hypercare readiness activities and transition planning from deployment to operational support teams.<br> Ensure adherence to SAP Activate cutover methodology, governance standards, and deployment best practices.<br> Drive issue resolution and escalation management throughout cutover execution and stabilization phases.</p> <br><p><strong>Desired Candidate Profile</strong></p><p> Bachelor's degree in Information Technology, Supply Chain Management, Business Administration, Engineering, or equivalent combination of education and experience.<br> Typically 10+ years of SAP project delivery experience, including significant experience in cutover management for SCM, logistics, manufacturing, or ERP transformation programs.<br> Proven experience leading SAP S/4HANA cutover planning and execution activities in complex enterprise environments.<br> Strong knowledge of inventory migration, warehouse cutover, production transition, and planning data migration processes.<br> Experience coordinating large, cross-functional teams across business, functional, technical, and operational workstreams.<br> Expertise in dependency management, critical path management, RAID tracking, and deployment governance.<br> Strong understanding of SAP Supply Chain processes including EWM, Manufacturing, Planning, Procurement, and Finance integration points.<br> Excellent project coordination, organizational, communication, and stakeholder management skills.<br> Ability to perform effectively under high-pressure deployment and go-live conditions.</p> <br> <p> SAP Activate certification, training, or direct implementation experience preferred.<br> Previous experience supporting EWM, SCM, logistics, manufacturing, or warehouse transformation programs highly desirable.<br> Experience with enterprise deployment planning tools such as Microsoft Project, Primavera, Jira, Azure DevOps, or SAP Cloud ALM.<br> Knowledge of SAP data migration methodologies and deployment governance frameworks.<br> Experience managing global, regional, or multi-country go-live programs.<br> Understanding of business continuity planning, disaster recovery considerations, and operational readiness activities.<br> PMP, PRINCE2, Agile, or related project management certifications are a plus.<br> Strong leadership and decision-making capabilities with proven success in coordinating mission-critical deployment events.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>About Devoteam</strong></p><br><p>Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity. By combining creativity, tech, and data insights, we empower our customers to transform their business and unlock the future.</p><br><p>With 30 years’ experience and more than 11,000 employees across Europe, the Middle East, and Africa, Devoteam promotes responsible tech for people and works to create better change.</p><br><p><strong>Creative tech for Better Change.</strong></p><br><p><strong>www.devoteam.com</strong></p><br><br>Job Description<br><p>We are seeking a passionate <strong>Senior Data Scientist</strong> with at least <strong>5 years of experience</strong> in designing, building, and deploying AI and Machine Learning applications.</p><br><p>As an expert in <strong>Machine learning, Generative AI, LLMs, MLOps, and AI solution design</strong>, you will play a pivotal role in <strong>designing,&nbsp; architecting </strong>and<strong> delivering</strong> high-value AI projects for clients, while driving best practices across our technical community.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li><p><strong>Client Advisory:</strong> Engage with clients&nbsp; and key stakeholders to identify AI transformation opportunities and understand business goals and requirements.</p><br></li><li><p><strong>Architecture &amp; Generative AI:</strong> Collaborate with client teams to architect, design, and deploy cutting-edge solutions powered by Generative AI and Large Language Models (LLMs).</p><br></li><li><p><strong>Modeling &amp; Tech stack Selection:</strong> Evaluate, select, and fine-tune ML/DL/ LLM models tailored to specific business challenges using the adequate tools from AI ecosystems.&nbsp;</p><br></li><li><p><strong>Production &amp; MLOps:</strong> Drive DevOps and MLOps best practices (CI/CD, containerization, orchestration) to automate deployment, monitoring, and performance tracking of production AI models.</p><br></li></ul><br>Qualifications<br><p><strong>Technical Expertise</strong></p><br><ul><li><p><strong>Generative AI:</strong> Deep proficiency in Transformer architectures and foundation models&nbsp; LLMs/SLMs diffusion models,</p><br></li><li><p><strong>Information retrieval:</strong> grounding LLMs with the right Retrieval-Augmented Generation (RAG) techniques.</p><br></li><li><p><strong>Machine Learning &amp; Deep Learning:</strong> Advanced expertise in <strong>Python </strong>and core frameworks (PyTorch, TensorFlow, Scikit-Learn, Transformers;&nbsp; etc.).</p><br></li><li><p><strong>Cloud &amp; Infrastructure: </strong>Practical experience with cloud platforms (<strong>GCP </strong>or <strong>Azure</strong>) and containerization tools (<strong>Docker, Kubernetes</strong>).</p><br></li><li><p><strong>Data Engineering:</strong> Solid capabilities in data collection, cleaning, feature engineering, and data pipeline design and deployment.</p><br></li><li><p><strong>Computer Vision / TTS/ STT:</strong> Experience or knowledge in image recognition, object detection, VLMs, and transcription&nbsp; models.</p><br></li></ul><p><strong>Soft Skills &amp; Personal Attributes</strong></p><br><ul><li><p><strong>Communication</strong>: Excellent written and verbal communication skills in Arabic and in English, with the ability to explain complex technical concepts to non-technical stakeholders.</p><br></li><li><p><strong>Problem-Solving</strong>: Strong analytical mindset capable of converting ambiguous business problems into structured technical solutions.</p><br></li><li><p><strong>Mobility &amp; Flexibility</strong>: Fully willing and available for business travel between <strong>Tunis and Riyadh (KSA).</strong></p><br></li></ul><br>Additional Information<br><p><strong>Education &amp; Experience</strong></p><br><ul><li><p>Master’s or Engineering&nbsp; degree in Computer Science, Data Science, AI Engineering, or a related quantitative field.</p><br></li><li><p><strong>5+ years of hands-on experience</strong> in Data Science , Machine Learning and AI, with a proven track record of deploying models and AI applications&nbsp; to production.</p><br></li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description:</b></p><br>Essential Job Functions<br><p>• Lead end-to-end delivery of SAP SCM deployment projects across assigned regions, business units, or workstream clusters.<br>• Develop and maintain integrated project plans, schedules, milestones, RAID logs, and governance frameworks.<br>• Coordinate cross-functional workstreams including EWM, Planning, Manufacturing, Finance, Data Migration, Integration, and Technical Architecture teams.<br>• Manage project scope, budget tracking, resource planning, and delivery timelines to ensure successful execution.<br>• Establish strong relationships with client executives, business stakeholders, and program leadership teams.<br>• Facilitate project governance meetings, steering committee reviews, status reporting, and executive communications.<br>• Monitor project risks, issues, dependencies, and assumptions while proactively driving mitigation and resolution strategies.<br>• Oversee vendor, partner, and delivery team activities across onshore, nearshore, and offshore engagement models.<br>• Coordinate integration points with Program Management Office (PMO), GTS, Group Reporting, Finance, and other transformation streams.<br>• Lead go-live readiness assessments, deployment planning, cutover execution, and hypercare support coordination.<br>• Drive adherence to SAP Activate methodology, project standards, quality controls, and governance requirements.<br>• Ensure effective communication, collaboration, and alignment among all project participants and stakeholders.</p><br><br>Basic Qualifications<br><p>• Bachelor's or Master's degree in Information Technology, Business Administration, Supply Chain Management, Engineering, or related field.<br>• Typically 12+ years of project management experience, including leadership of SAP SCM, Logistics, Supply Chain, Manufacturing, or ERP transformation programs.<br>• Proven track record delivering SAP S/4HANA Supply Chain projects involving EWM, PP, PP/DS, Manufacturing, Logistics Execution, or Integrated Business Planning solutions.<br>• Strong experience managing global, regional, or multi-country deployment programs.<br>• Expertise in project governance, risk management, RAID management, stakeholder engagement, and executive reporting.<br>• Experience managing cross-functional and distributed delivery teams across onshore, offshore, and nearshore models.<br>• Strong understanding of SAP Activate methodology and project delivery lifecycle.<br>• Exceptional communication, leadership, negotiation, facilitation, and conflict-resolution skills.<br>• Ability to manage multiple priorities in complex transformation environments.</p><br>Other Qualifications<p>• PMP, PRINCE2, PMI-ACP, or equivalent project management certification preferred.<br>• Experience leading SCM-focused SAP transformation programs within manufacturing, consumer goods, industrial products, life sciences, or distribution industries.<br>• Knowledge of SAP S/4HANA Supply Chain, EWM, PP/DS, Manufacturing, Logistics, Finance integration, and deployment methodologies.<br>• Experience with Agile, Hybrid, and Waterfall delivery approaches.<br>• Familiarity with SAP Cloud ALM, Solution Manager, Jira, Azure DevOps, or similar project governance tools.<br>• Experience managing large-scale global template rollouts and regional deployment programs.<br>• MBA or advanced degree in Business, Supply Chain, Engineering, or Project Management is a plus.<br>• Demonstrated ability to engage executive sponsors and drive successful business transformation initiatives.</p><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.&nbsp;More information on employment scams is available</span></b>&nbsp;<span>here</span><span><b><i>.</i></b></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Job Description:</b></p><br>Essential Job Functions<br><p>• Develop and maintain comprehensive SCM cutover plans covering EWM, IBP, PP/DS, aATP, Manufacturing, Finance, Data Migration, Integration, and Technical workstreams.<br>• Coordinate end-to-end go-live readiness activities and ensure alignment across all program stakeholders.<br>• Manage inventory migration, stock transfers, inventory freezes, warehouse transitions, and production cutover activities.<br>• Facilitate cutover planning workshops and define responsibilities, dependencies, escalation paths, and execution timelines.<br>• Coordinate and execute cutover rehearsal activities, mock cutovers, and dress rehearsals to validate deployment readiness.<br>• Monitor critical path activities and proactively manage risks, issues, and dependencies impacting go-live schedules.<br>• Support business readiness assessments and ensure operational teams are prepared for deployment execution.<br>• Facilitate go/no-go decision processes in collaboration with Program Leadership, Business Stakeholders, and the Program Cutover Manager.<br>• Prepare and distribute cutover status reports, execution dashboards, risk logs, and executive communications.<br>• Coordinate hypercare readiness activities and transition planning from deployment to operational support teams.<br>• Ensure adherence to SAP Activate cutover methodology, governance standards, and deployment best practices.<br>• Drive issue resolution and escalation management throughout cutover execution and stabilization phases.</p><br><br>Basic Qualifications<br><p>• Bachelor's degree in Information Technology, Supply Chain Management, Business Administration, Engineering, or equivalent combination of education and experience.<br>• Typically 10+ years of SAP project delivery experience, including significant experience in cutover management for SCM, logistics, manufacturing, or ERP transformation programs.<br>• Proven experience leading SAP S/4HANA cutover planning and execution activities in complex enterprise environments.<br>• Strong knowledge of inventory migration, warehouse cutover, production transition, and planning data migration processes.<br>• Experience coordinating large, cross-functional teams across business, functional, technical, and operational workstreams.<br>• Expertise in dependency management, critical path management, RAID tracking, and deployment governance.<br>• Strong understanding of SAP Supply Chain processes including EWM, Manufacturing, Planning, Procurement, and Finance integration points.<br>• Excellent project coordination, organizational, communication, and stakeholder management skills.<br>• Ability to perform effectively under high-pressure deployment and go-live conditions.</p><br><br>Other Qualifications<br><p>• SAP Activate certification, training, or direct implementation experience preferred.<br>• Previous experience supporting EWM, SCM, logistics, manufacturing, or warehouse transformation programs highly desirable.<br>• Experience with enterprise deployment planning tools such as Microsoft Project, Primavera, Jira, Azure DevOps, or SAP Cloud ALM.<br>• Knowledge of SAP data migration methodologies and deployment governance frameworks.<br>• Experience managing global, regional, or multi-country go-live programs.<br>• Understanding of business continuity planning, disaster recovery considerations, and operational readiness activities.<br>• PMP, PRINCE2, Agile, or related project management certifications are a plus.<br>• Strong leadership and decision-making capabilities with proven success in coordinating mission-critical deployment events.</p><br><p><span>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.</span></p><br><p><b><span>Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.&nbsp;More information on employment scams is available</span></b>&nbsp;<span>here</span><span><b><i>.</i></b></span></p><br> </div>

<p>Responsibilities<br>1. Engage with stakeholders across multiple business areas, brands, regions, and functions to identify Customer 360, Key Account, Cross-Business, and Graph Intelligence use cases.<br>2. Define and document user personas, business processes, workflows, user journeys, KPIs, success criteria, and expected business outcomes.<br>3. Create and maintain high-quality business analysis artifacts, including Business Requirements Documents (BRDs), functional specifications, process flows, use cases, and user stories.<br>4. Analyze relationships between customer, account, organizational, fleet/asset, product, contract, finance, service, parts, and interaction data.<br>5. Support the definition of Customer 360 and Graph Intelligence capabilities for Key Account Management, customer loyalty, Share of Wallet, cross-sell, customer retention, and risk insights.<br>6. Manage stakeholder feedback and clarification during solution design, development, UAT, rollout, and adoption.<br>7. Assess and prioritize potential use cases based on business value, data availability, technical feasibility, adoption potential, and strategic alignment.<br>8. Support product roadmap planning, MVP definition, backlog refinement, and prioritization activities.<br>9. Assist in developing business cases, value hypotheses, and measurable outcomes for future data and analytics investments.<br>10. Support continuous improvement of Customer 360 and Graph Intelligence capabilities and contribute to building reusable enterprise-wide data products.</p> <p>Must-Have Skills<br>1. 8+ years of relevant professional experience, including significant experience in Business Analysis, Data Business Analysis, Data Management, Data &amp; Analytics, CRM, enterprise applications, or related areas.<br>2. Proven experience working at Senior, Lead, Principal, or equivalent level on complex enterprise initiatives.<br>3. Strong hands-on experience gathering, analyzing, documenting, validating, and managing business, functional, and data requirements.<br>4. Hands-on experience creating user stories, use cases, Business Requirements Documents, functional specifications, process flows, workflows, and acceptance criteria.<br>5. Strong experience facilitating business workshops, discovery sessions, requirements workshops, and stakeholder interviews.<br>6. Strong stakeholder management experience with the ability to work across multiple business units, product teams, technical teams, and senior stakeholders.<br>7. Experience working with enterprise data platforms, analytics solutions, CRM/customer data solutions, master data, or enterprise applications.<br>8. Strong understanding of customer and account data, including relationships between customers, accounts, products, services, contracts, transactions, or other enterprise entities.<br>9. Ability to translate complex business problems into clearly defined business use cases and actionable requirements for technical teams.<br>10. Experience defining KPIs, success criteria, business outcomes, and measurable value for business/data initiatives.<br>11. Experience supporting the complete delivery lifecycle, including discovery, requirements, design, development clarification, UAT, rollout, and stakeholder feedback.<br>12. Strong analytical and problem-solving skills with the ability to understand complex business processes and data relationships.<br>13. Experience supporting use-case prioritization, MVP definition, backlog management, or roadmap planning.<br>14. Ability to communicate effectively with both business and technical stakeholders, including product owners, architects, engineers, and data teams.<br>15. Experience working in large, complex, cross-functional or multinational enterprise environments.<br>16. Experience with graph databases, knowledge graphs, Graph Intelligence, or relationship-centric data models.</p> <p>Good-to-Have Skills<br>1. Experience with Customer 360 / Single Customer View solutions or initiatives.<br>2. Knowledge of Key Account Management processes and enterprise customer relationship models.<br>3. Experience with Customer Master Data, Master Data Management (MDM), account hierarchies, customer hierarchies, or entity relationships.<br>4. Experience with customer insights such as customer loyalty, Share of Wallet, cross-sell, retention, segmentation, risk, or next-best-action use cases.<br>5. Experience with data quality, data remediation, data governance, metadata, or data lineage concepts.<br>6. Familiarity with cloud-based data and analytics platforms.<br>7. Experience using Azure DevOps, Confluence, Jira, or similar enterprise product delivery and collaboration tools.<br>8. Exposure to Agile/Scrum and enterprise product development frameworks.<br>9. Experience working with global organizations involving multiple countries, brands, business units, or regional stakeholders.<br>10. Experience developing business cases, value hypotheses, benefits assessments, or investment proposals for data initiatives.<br>11. Familiarity with CRM, Customer Data Platforms (CDPs), analytics, reporting, or enterprise data products.<br>12. Practical adoption of AI and Generative AI tools to improve workplace productivity, analysis, documentation, requirements management, or stakeholder engagement.<br>13. Experience in automotive, manufacturing, financial services, fleet management, mobility, or another complex B2B enterprise environment would be an advantage.</p> <p>Education<br>1. Minimum Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Management, Engineering, Business Analytics, or a related field.<br>2. A Master's degree, MBA, or relevant professional certifications in Business Analysis, Data Management, Product Management, Agile, or Data &amp; Analytics are advantageous but not mandatory.</p><p><strong>Desired Candidate Profile</strong></p><p>Minimum Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Management, Engineering, Business Analytics, or a related field.<br>A Master's degree, MBA, or relevant professional certifications in Business Analysis, Data Management, Product Management, Agile, or Data &amp; Analytics are advantageous but not mandatory.</p>