onsite
Senior Platform Engineer - Kubernetes & Private AI - OEDIV
Devops Engineer
Lead the design, deployment, and maintenance of scalable Kubernetes platforms that power private AI workloads, ensuring high availability, security, and automation across cloud and on‑prem environments.
About the role
Key Responsibilities
- Architect and operate production‑grade Kubernetes clusters for private AI services, ensuring reliability, scalability, and security.
- Implement CI/CD pipelines and GitOps workflows to automate application delivery and infrastructure changes.
- Collaborate with data science and security teams to integrate AI workloads, enforce data governance, and manage access controls.
- Monitor cluster health, troubleshoot performance issues, and optimize resource utilization.
- Document platform standards, best practices, and runbooks for internal teams.
Requirements
- 5+ years of experience in platform engineering or DevOps with deep Kubernetes expertise.
- Proficient in containerization (Docker), IaC (Terraform), and scripting (Python).
- Hands‑on experience with CI/CD tools (GitLab CI, ArgoCD, Jenkins) and GitOps principles.
- Strong understanding of cloud security, network policies, and compliance for private AI deployments.
- Excellent communication skills and a collaborative mindset.
Skills
kubernetesdockercicdpythonterraform