Senior DevOps / MLOps Engineer (all genders)

Join Nomitri and build the infrastructure behind next-generation Edge AI systems. We deploy computer vision solutions at scale for major international retailers, running across cloud and edge environments in 15+ countries and processing millions of inferences daily.

We’re looking for a senior engineer who wants to own complex systems end-to-end , make high-impact architectural decisions , and grow into a key technical leader as we scale.

Location: Berlin, Germany (hybrid)

What you’ll do

• Take ownership of our multi-cloud architecture (GCP, Azure, AWS) — from design to operation.
• Build a true platform engineering layer: scalable, self-service infrastructure that accelerates all engineering teams.
• Architect networking across cloud and edge (hybrid connectivity, routing, secure communication at scale).
• Drive security and compliance standards (ISO 27001, zero-trust, supply chain security).
• Establish deep observability across all systems (metrics, logs, tracing, alerting).
• Design and evolve our MLOps stack (data pipelines, GPU workloads, model deployment, AI systems infrastructure).
• Ensure high reliability across distributed edge deployments in multiple countries.
• Partner directly with leadership on infrastructure, architecture, and long-term technical strategy.

What you bring

• 5+ years of experience in DevOps / infrastructure / platform engineering, with clear ownership of production systems.
• Proven ability to design and operate complex cloud or hybrid architectures (AWS, GCP, Azure).
• Strong Kubernetes and Infrastructure-as-Code expertise (Terraform or similar is expected).
• Deep understanding of networking fundamentals and cloud networking (routing, VPNs, DNS, security layers).
• Solid grasp of identity and access systems (IAM, OIDC/SAML, RBAC).
• Strong programming skills (Python and/or Go) — you build real systems, not just glue scripts.
• Experience with CI/CD and GitOps workflows in production environments.
• Strong Linux and distributed systems knowledge.
• Exposure to event-driven systems and APIs (Kafka, AMQP, REST, gRPC).
• Good understanding of modern infrastructure disciplines (SRE, DevSecOps, platform engineering).
• Working knowledge of MLOps or strong motivation to grow into it quickly.

Nice to have

• Experience with configuration management (Ansible or similar).
• Familiarity with storage and distributed data systems.
• Exposure to on-prem / edge infrastructure.
• Experience leading incident response, SLOs, and reliability practices.

Why this role is exciting

• Real ownership: You won’t just maintain systems — you’ll design and shape them.
• Steep growth curve: Work across multi-cloud, edge computing, and modern AI infrastructure.
• Cutting-edge tech: MLOps, GPU orchestration, distributed edge systems, and emerging AI workflows.
• High-impact environment: Your decisions directly influence production systems at scale.
• Strong team: Work with experienced engineers from top-tier companies who live DevOps philosophy.
• Clear growth path: Opportunity to grow into Staff Engineer, Architect, or technical leadership roles.

We are an international company and welcome everyone, regardless of gender, skin color, religion or origin. All content published on our career portal is aimed equally at all applicants! #GKEqualOpportunityEmployer