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.