Senior DevOps/MLOps at fast growing Berlin AI Company

Our Vision

At Nomitri, our ambition is bold: to become a leading worldwide player in Edge AI and Computer Vision. 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: 3 days in-office, 2 days remote)

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.

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