- Design, build, and scale Kubernetes infrastructure for secure, multi-tenant, high-availability applications.
- Build and operate AI tooling infrastructure — stand up MCP servers and establish secure, governed AI access and guardrails for production systems.
- Optimize and maintain CI/CD pipelines, improving reliability, speed, and rollback safety.
- Implement progressive delivery strategies such as blue/green and canary deployments.
- Advance Infrastructure as Code with Terraform, Helm, and Argo CD, defining reusable patterns for the org.
- Operate and optimize streaming and analytics infrastructure: Kafka, Flink, and ClickHouse.
- Build automated testing into the CI/CD lifecycle.
- Improve system observability — define SLOs, alerts, and dashboards.
- Lead incident response and postmortems, focusing on root cause and durable fixes.
- Mentor engineers across teams on Kubernetes, CI/CD, and cloud infrastructure.
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