:

- 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.

📌 CGI - Site Reliability Engineer (India)
🏢 Cgi Group
📍 India