Senior Site Reliability Engineer
About The Position
As a Senior Site Reliability Engineer, you will be a key technical leader driving the design and optimization of our Kubernetes-based infrastructure and CI/CD systems. You will also own the infrastructure behind our AI tooling — building MCP servers and defining safe, auditable AI access patterns for production systems. You'll work hands-on with engineering teams to accelerate delivery, ensure production reliability, and embed best practices for automation, observability, and resilience. 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.
Requirements
- 6+ years in SRE, DevOps, or Infrastructure roles, with significant production Kubernetes experience.
- Hands-on experience integrating AI/LLM tooling into engineering or operational workflows (e.g., MCP servers, AI agents acting on infrastructure), and a clear grasp of the security and governance considerations of giving AI access to production.
- Proven success building CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, or similar).
- Strong with Kubernetes internals and managed services like EKS, GKE, or AKS.
- Expertise with Infrastructure as Code (Terraform, Helm, Pulumi) and GitOps.
- Proficient in Python, Bash, or Go.
- Knowledge of observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry).
- Production experience with Kafka, Flink, and ClickHouse.
- Strong communication and cross-team collaboration skills.
Nice To Haves
- Multi-region or multi-cluster Kubernetes experience.
- Chaos engineering or resilience testing.
- Security scanning, compliance automation, or policy-as-code.
- LLM observability/tracing tooling (Langsmith, Langfuse) or MLOps workflows.
- Contributions to open-source Kubernetes or CI/CD projects.
Responsibilities
- 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.
Benefits
- competitive salary
- stock options
- Health benefits
- unlimited PTO
- parental leave
- tuition reimbursements
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
