DevOps Team Lead

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.
דרישות התפקיד:
Must-Have 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 Observability tools such as Prometheus, Grafana, and OpenTelemetry.
Experience with Data Infrastructure and Data Pipelines.
Experience working in Hybrid Cloud / On-Prem environments.
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.