[8SN] Senior Site Reliability Engineer (SRE) – Kubernetes

Software Mind Americas

15h

About The Position

This is a Senior SRE role supporting production reliability for a Kubernetes-based UI service / AI experience framework stack. This is not general infrastructure, and it is not a front-end developer role. The strongest candidates will have production SRE experience across Kubernetes operations, observability, Node.js runtime troubleshooting, JVM / Java service troubleshooting, Splunk, and incident ownership. You will join a team responsible for ensuring the stability, reliability, and operational excellence of a critical UI service running in production. The role involves supporting the deployment, operation, and reliability of production services running on Kubernetes. You will monitor service health and investigate production incidents across distributed applications. Participation in on-call support, incident response, root cause analysis, postmortems, and reliability improvements is expected. You will also troubleshoot application runtime, networking, and service-to-service issues in collaboration with engineering teams, and support CI/CD, GitOps-based deployments, observability, and production monitoring. You will work within a client-directed backlog and established priorities.

Requirements

5+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, Production Engineering , or a closely related role, including strong recent hands-on experience supporting Kubernetes-based production services.
3+ years of hands-on production Kubernetes experience strongly preferred.
Kubernetes production operations, including deployment, scaling, rollout / rollback, resource tuning, and service-to-service troubleshooting
Strong production incident response experience, including on-call, runbooks, postmortems, and paging hygiene
Splunk experience for log aggregation, search, and production troubleshooting
Prometheus and Grafana experience, specifically building alert rules and dashboards, not only using existing dashboards
CI/CD and infrastructure-as-code for containerized deployments, including Helm and GitOps tools such as ArgoCD or Flux
Strong Linux and networking fundamentals, including DNS, load balancing, TCP / HTTP, HTTP/2, and Kubernetes networking
Production troubleshooting experience across Node.js and JVM/Java services, with strong depth in at least one runtime environment. Experience may include Node.js heap snapshots, CPU profiling, event-loop and memory analysis, as well as JVM GC log analysis, thread dumps, JVM tuning, and Java service latency investigation.
Service-to-service authentication experience, including mTLS, certificate rotation, certificate format conversion, and JWT-based service authentication

Nice To Haves

Web Components / Lit experience, to perform first-level debugging of UI-related issues
Server-side rendering or isomorphic runtime experience
Canary rollout / multi-version production operations
Distributed tracing and request-context correlation
KEDA or event-driven autoscaling
Experience with enterprise platform integration layers

Responsibilities

Support the deployment, operation, and reliability of production services running on Kubernetes.
Monitor service health and investigate production incidents across distributed applications.
Participate in on-call support, incident response, root cause analysis, postmortems, and reliability improvements.
Troubleshoot application runtime, networking, and service-to-service issues in collaboration with engineering teams.
Support CI/CD, GitOps-based deployments, observability, and production monitoring.
Work within a client-directed backlog and established priorities.