Job Description :

- Design, build, and maintain highly available, scalable production systems (Kubernetes/OpenShift, container orchestration, streaming data pipelines).

- Define and track SLIs/SLOs/error budgets for critical services; drive engineering priorities based on reliability data.

- Lead and participate in incident response : triage, mitigate, and drive root cause analysis (RCA) and postmortems for production incidents.

- Build and maintain monitoring, alerting, logging, and tracing (e.g., ELK/Filebeat, Kafka, Grafana, Prometheus) to improve system observability.

- Automate operational tasks (deployment, scaling, failover, capacity management) via IaC and CI/CD pipelines.

- Perform capacity planning and performance tuning for distributed systems (Kafka clusters, databases, message queues).

- Conduct network- and protocol-level troubleshooting (TCP/TLS/mTLS handshakes, packet captures, DNS) to diagnose complex production issues.

- Partner with development teams to improve system design for reliability, including reviewing readiness/liveness probes, timeouts, retries, and failure modes.

- Maintain and improve runbooks, escalation procedures, and on-call practices.

- Participate in an on-call rotation, responding to and resolving production alerts within SLA.