Description

You will design, build, and manage large-scale multi-cluster Kubernetes platforms across cloud and on-prem environments. This role is on-site.

Responsibilities

• Develop and maintain controllers, CRDs, ingress, DNS, and TLS automation for scalable infrastructure provisioning.
• Build and secure platform microservices, including CI/CD pipelines, SSO, RBAC, secret management, and monitoring workflows.
• Own end-to-end production release management, covering Helm deployments, multi-architecture container builds, staged rollouts, and rollback strategies.
• Implement observability, audit logging, analytics, and automation to support high-scale production operations.
• Integrate AI-driven tooling and automation into operational workflows to improve platform scalability and efficiency.

Required Skills

• 6+ years of hands-on DevOps/SRE experience supporting production Kubernetes environments.
• Strong expertise with Kubernetes operators, CRDs, ingress controllers, and cluster networking.
• Strong programming skills in Python or Go, with working knowledge of TypeScript/React.
• Solid experience with AWS or similar cloud platforms, OIDC/SAML authentication, and secret management solutions.
• Strong understanding of relational databases, caching technologies, and asynchronous communication patterns (WebSockets, SSH tunneling, message queues).
• Proven experience building internal developer platforms and enterprise CI/CD pipelines.
• Bachelor’s or Master’s degree in Computer Science or related field.

Preferred Skills

• Experience with Jenkins, GitLab CI, ArgoCD, Flux, Prometheus, Grafana, VictoriaMetrics, Datadog, Splunk, or Kibana.
• Deep understanding of agentic AI workflows, developer tooling, CLI frameworks, and MCP ecosystems.
• Experience building AI-assisted operational tooling including anomaly detection, automated runbooks, and LLM-powered operations workflows.

Key Skills

Education

Bachelor’s/Master’s degree