DevOps Manager

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.