Join an advanced technology unit operating in a complex environment, in a role that combines professional and managerial leadership of the DevOps / Platform domain.

The position includes responsibility for designing, building, automating, and operating modern infrastructure that supports Data and AI pipelines across Cloud and On-Prem environments, while working with distributed systems, high workloads, and demanding performance and availability requirements.

This is a key role connecting Development, AI, Data Engineering, and mission-critical systems, combining technological leadership, hands-on work, architectural decision-making, and team development.

Key Responsibilities

• Manage and professionally lead a DevOps / Platform team.
• Lead infrastructure architecture for AI and Data systems across Cloud and On-Prem environments.
• Design, build, and operate scalable, distributed, highly available infrastructure.
• Lead CI/CD processes for models, Data Pipelines, and application services.
• Manage and scale distributed clusters, including Kubernetes / Ray.
• Lead automation of Deployment, Scaling, Provisioning, and Monitoring.
• Implement MLOps processes and support the full model lifecycle — Training, Deployment, Monitoring, and Optimization.
• Manage containerized environments and Docker, while optimizing CPU / GPU resources.
• Lead the Observability domain, including Logs, Metrics, and Tracing.
• Take responsibility for system stability, availability, performance, and High Availability.
• Work closely with AI, Data Engineering, and Development teams to improve Delivery and deployment processes.
• Lead the resolution of complex production issues, perform Root Cause Analysis, and improve preventive mechanisms.
• Define Best Practices, standards, and working methodologies for the DevOps / Platform domain.
• Mentor and professionally develop team members, assign tasks, and manage priorities.
• Participate in architectural decision-making and in planning the medium- and long-term infrastructure roadmap.

Requirements:

• Significant experience as a DevOps Engineer / Platform Engineer.
• Experience in professional leadership or management of a DevOps / Platform team.
• Hands-on experience with Kubernetes and Docker.
• Significant experience designing and managing CI/CD Pipelines.
• Experience with at least one major cloud environment: AWS / GCP / Azure.
• Experience working with Linux and managing Production environments.
• Experience writing scripts and automation in Python and/or Bash.
• Strong understanding of Distributed Systems, Scalability, and High Availability.
• Experience designing and implementing Infrastructure as Code.
• Strong troubleshooting capabilities and experience resolving complex Production issues.
• Ability to lead multiple interfaces and work effectively in a dynamic, multidisciplinary environment.
• Ability to combine deep hands-on technical expertise with professional and managerial leadership.

Advantages

• Experience with AI / ML systems or MLOps processes.
• Experience with Ray, Airflow, or Prefect.
• Experience managing GPU workloads and high-performance compute infrastructure.
• Experience with Real-Time or Mission-Critical systems.
• Experience in operational or defense-related environments.
• Experience designing an internal Platform or Developer Platform for R&D teams.