AI DevOps Engineer

We are looking for a AI DevOps Engineer to join a global team focused on transforming software management, packaging, and distribution through intelligent automation and AI-powered operations. This role represents the evolution from traditional DevOps toward a Software-Defined and AI-Driven Automation model, where operational capabilities are delivered through software, APIs, automation frameworks, and autonomous agents. You will work closely with Infrastructure, Data/AI, and Platform Engineering teams to design scalable automation solutions and drive operational excellence. TASKS Develop automation solutions for software management, packaging, and distribution processes. Design and implement API-based, reusable, and scalable automation frameworks. Build, maintain, and optimize CI/CD pipelines for software build, packaging, and release processes. Develop and support AI-driven automation agents for incident classification, auto-remediation, and process optimization. Implement end-to-end automated workflows covering intake, packaging, validation, and distribution processes. Integrate ITSM platforms (e.g., ServiceNow) into automated workflows. Collaborate with Infrastructure, Platform Engineering, and Data/AI teams to improve operational efficiency and automation capabilities. Design and maintain solutions following a Software-Defined, API-First, and Automation-First approach. Monitor automation platforms and continuously improve processes through observability, metrics, and AI-driven insights. Resolve complex operational issues and identify opportunities for further automation and optimization. Contribute to the standardization, scalability, and reuse of automation solutions across the organization. MUST HAVE 3+ years of experience in DevOps, Automation Engineering, Platform Engineering, or similar roles. Strong programming skills in Python (mandatory). Experience with scripting languages such as Ansible, Bash, and PowerShell. Hands-on experience with automation platforms such as AAP, AWX, or similar tools. Experience designing and maintaining CI/CD pipelines (Jenkins, Bitbucket Pipelines, or similar). Knowledge of REST APIs, OpenAPI specifications, and API integrations. Experience with OpenShift, Docker, and Kubernetes. Strong knowledge of Linux environments, including automation, containers, workload execution, and agent deployment. Proven hands-on experience applying Artificial Intelligence to operational and automation processes. Experience designing, developing, and integrating AI agents into IT workflows and operational platforms. Experience with AIOps, intelligent automation, workflow orchestration, or autonomous operations. Ability to identify operational challenges and implement AI-driven solutions that improve efficiency, reliability, and scalability. Experience integrating AI-enabled services, APIs, and automation frameworks into end-to-end operational processes. Understanding of DevOps, GitOps, Infrastructure Automation, and API-First architectures. Strong analytical and problem-solving skills. Ability to communicate effectively with both technical and business stakeholders. Advanced English level (C1), both written and spoken. Degree in Computer Engineering or equivalent experience. NICE TO HAVE Experience with software packaging technologies (MSI, MSIX, or similar). Experience with software distribution platforms (SCCM, Intune, or similar). Knowledge of software lifecycle management processes. Experience with ServiceNow or other ITSM platforms. Familiarity with Agile, Scrum, GitOps, and ITIL methodologies. Experience implementing observability, monitoring, or event-driven automation solutions. Experience working in enterprise-scale environments with a strong focus on automation, platform engineering, and operational excellence. SCHEDULE 08h/09h - 17h/18h from Monday to Friday (flexible) 3 days remote, 2 days of office work. CONDITIONS Salary package based on your profile. Ticket restaurant included in-office hours.