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NONomitri

Senior DevOps/MLOps(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML

Designing and operating multi-cloud and edge networking for AI systems. Kubernetes and Infrastructure-as-Code expertise required. Company car for private use, 6 weeks vacation.

Requirements

  • 5+ years DevOps/infrastructure/platform engineering experience
  • Clear ownership of production systems
  • Design and operate complex cloud/hybrid architectures
  • Strong Kubernetes expertise
  • Strong Infrastructure-as-Code expertise (Terraform or similar)
  • Deep understanding of networking fundamentals
  • Deep understanding of cloud networking (routing, VPNs, DNS, security)
  • Solid grasp of identity and access systems (IAM, OIDC/SAML, RBAC)
  • Strong programming skills (Python and/or Go)
  • Build real systems with programming skills
  • Experience with CI/CD workflows in production
  • Experience with GitOps workflows in production
  • Strong Linux knowledge
  • Strong distributed systems knowledge
  • Exposure to event-driven systems
  • Exposure to APIs (REST, gRPC)
  • Good understanding of SRE disciplines
  • Good understanding of DevSecOps disciplines
  • Good understanding of platform engineering disciplines
  • Working knowledge of MLOps
  • Strong motivation to grow into MLOps quickly
  • Experience with configuration management (Ansible or similar)
  • Familiarity with storage systems
  • Familiarity with distributed data systems
  • Exposure to on-prem / edge infrastructure
  • Experience leading incident response
  • Experience leading SLOs
  • Experience leading reliability practices

Tasks

  • Own complex systems end-to-end
  • Make high-impact architectural decisions
  • Own multi-cloud architecture (GCP, Azure, AWS) from design to operation
  • Build a scalable, self-service platform engineering layer
  • Architect networking across cloud and edge (hybrid connectivity, routing, secure communication)
  • 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 the MLOps stack (data pipelines, GPU workloads, model deployment, AI systems infrastructure)
  • Ensure high reliability across distributed edge deployments
  • Partner with leadership on infrastructure, architecture, and technical strategy

Work Experience

  • 5 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • AWS
  • GCP
  • Azure
  • Kubernetes
  • Terraform
  • Python
  • Go
  • Ansible
  • Kafka
  • AMQP
  • REST
  • gRPC

Benefits

Startup Environment

  • Steep growth curve
  • High-impact environment

Modern Equipment

  • Cutting-edge tech

Informal Culture

  • Strong team

Career Advancement

  • Clear growth path
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nomitri and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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