DevOps Engineer (VISINT)

DevOps Engineer – Advanced AI & Satellite Intelligence (VISINT)

Join an elite, forward-thinking Advanced AI Unit dedicated to the VISINT (Visual Intelligence) domain.

We develop and operate state-of-the-art systems based on satellite data (EO and SAR).

As our DevOps Engineer, you will be the backbone of our infrastructure—building, automating, and operating modern environments that support massive AI and Data pipelines. If you thrive in scalable, distributed, and high-performance environments where your work directly impacts operational success, we want you.

What You’ll Do?

• Infrastructure Excellence: Design, deploy, and manage cloud and on-prem infrastructures tailored for AI and big data workloads.
• CI/CD for AI: Build and maintain robust CI/CD pipelines for models, data pipelines, and microservices.
• Distributed Computing: Manage and scale distributed clusters (e.g., Kubernetes, Ray) to support heavy processing demands.
• Automation First: Lead automation for deployment, scaling, and monitoring processes.
• MLOps Integration: Implement MLOps frameworks to support the full model lifecycle—from training and deployment to real-time monitoring.
• Resource Optimization: Manage containerized environments (Docker) and optimize hardware resources (CPU/GPU) for maximum efficiency.
• Observability: Set up advanced observability stacks (Logging, Metrics, Tracing) to ensure system reliability and stability.
• Collaborative Engineering: Work closely with AI researchers, Data Engineers, and Developers to streamline the development-to-production journey.

What You Bring (Must-Have)

• Proven Experience: Significant background as a DevOps or Platform Engineer.
• Container Orchestration: Hands-on expertise with Kubernetes and Docker.
• Automation Mastery: Solid experience in building CI/CD pipelines and scripting (Python or Bash).
• Cloud Proficiency: Experience working with major cloud providers (AWS, GCP, or Azure).
• Systems Knowledge: Strong Linux systems administration and networking skills.
• Architecture: Deep understanding of distributed systems and scalable architectures.
• Mindset: The ability to excel in a fast-paced, multidisciplinary, and dynamic environment.

Significant Advantages (Nice-to-Have)

• AI/ML Focus: Experience with MLOps or supporting AI/ML research teams.
• Specialized Tools: Familiarity with Ray, Airflow, or Prefect.
• GPU Power: Experience managing GPU workloads.
• Observability Stack: Hands-on with Prometheus, Grafana, or OpenTelemetry.
• Mission-Critical Systems: Experience in operational environments or real-time systems.

Why This Role?

You will be at the intersection of Infrastructure, AI, and Satellite technology. This isn't just about "keeping the lights on"—it’s about architecting the foundation for high-impact VISINT systems that demand 100% stability and cutting-edge performance.

Ready to build the infrastructure for the next generation of Satellite Intelligence?