Senior ML Engineer (Kubernetes Specialist)

Sei unter den ersten Bewerbenden.
Nur für registrierte Mitglieder
Hamburg
EUR 70.000 - 100.000
Sei unter den ersten Bewerbenden.
Vor 6 Tagen
Jobbeschreibung

Join to apply for the Senior ML Engineer (Kubernetes Specialist) role at Sonia

3 weeks ago Be among the first 25 applicants

We're looking for an experienced Senior ML Engineer to join our dynamic team. In this role, you'll be instrumental in building and maintaining our cloud infrastructure while implementing best practices for continuous integration and deployment.

Important: This position is based in our Hamburg office.

Tasks

  1. Design, implement, and manage Kubernetes-based infrastructure in cloud environments
  2. Develop and maintain CI/CD pipelines to ensure smooth software delivery
  3. Architect and implement monitoring and observability solutions
  4. Collaborate with development teams to optimize infrastructure requirements and services for scaling
  5. Automate operational processes and implement Infrastructure as Code
  6. Ensure system reliability, scalability, and security
  7. Mentor junior team members and contribute to technical decision-making

Requirements

  1. 5+ years of experience in MLOps or Site Reliability Engineering
  2. Experience with kserve and NVIDIA GPU Operator
  3. Basic knowledge of systems architecture and microservices
  4. Basic knowledge of fastapi and pytorch
  5. Strong expertise in Kubernetes and container orchestration
  6. Strong knowledge of CI/CD tools (GitHub CI)
  7. Advanced knowledge of OCI tooling
  8. Experience with monitoring and logging solutions (Prometheus, Grafana)
  9. Solid scripting skills (Python, Bash)
  10. Strong Linux administration skills
  11. Experience with Argo and/or Flux
  12. Excellent problem-solving and communication skills
  13. Knowledge of database administration (SQL and NoSQL, especially PostgreSQL operator and redis/valkey)
  14. Security best practices and RBAC implementation
  15. Experience with service mesh technologies

Nice to Have:

  1. Experience with configuration management tools (Ansible, Chef, Puppet)
  2. Certifications for Managing Certified Kubernetes Systems
  3. Proficiency in Infrastructure as Code tools (Terraform, OpenTofu)

Benefits

  1. Attractive compensation aligned with your skills
  2. Flexible work arrangements
  3. Professional development allowance

If you're passionate about MLOps practices and want to work with cutting-edge technologies, we'd love to hear from you!

Location: Hamburg   Employment Type: Full-time

Seniority level

  • Associate

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Software Development