Site Reliability Engineer

Job Description

We are looking for a highly skilled Site Reliability Engineer (SRE) to own and evolve our enterprise observability and reliability platforms.

This role is responsible for ensuring availability, performance, scalability, and reliability of large-scale, cloud-native applications running on Kubernetes and Open Shift.

The SRE will partner closely with application and platform teams to embed reliability engineering, SLO-driven operations, and automation-first practices.

• Reliability Engineering & SRE Practices:
  Define, implement, and continuously improve SLIs, SLOs, and error budgets for enterprise applications.
• Drive reliability-focused decision making using error budgets, MTTD, MTTR, and service health metrics.
• Proactively identify reliability risks and performance bottlenecks and drive remediation.
• Lead incident response, post-incident reviews (blameless postmortems), and reliability improvements.
• Observability Platform Ownership:
  Own and operate open-source–based observability platforms covering metrics, logging, and distributed tracing.
• Enhance, optimize, and migrate observability solutions to improve scalability, resilience, and cost efficiency.
• Maintain and tune Prometheus and other TSDBs, including cardinality management and resource optimization.
• Operate distributed tracing platforms such as Open Telemetry, Jaeger, and Zipkin, including tuning sampling strategies and troubleshooting microservices traces.
• Kubernetes & Open Shift Reliability:
  Support and enable application teams to migrate workloads to newer Open Shift/Kubernetes versions.
• Deploy, manage, and troubleshoot stateful and stateless workloads on Kubernetes platforms.
• Improve platform reliability through automation, self-healing, and standardized deployment patterns.
• Partner with developers to implement application instrumentation and reliability best practices.
• Logging, Alerting & Incident Response:
  Operate enterprise logging platforms such as ELK Stack and Grafana Loki, including Elasticsearch cluster management and index lifecycle management.
• Design and maintain actionable alerting aligned to SLOs and business impact.
• Integrate alerting platforms with Pager Duty, Microsoft Teams, and other incident management tools.
• Reduce alert fatigue by implementing alert hygiene and signal-to-noise optimization.
• Dashboards & Service Visibility:
  Deploy and administer visualization tools such as Grafana and Kibana.
• Create standardized, reusable dashboards for service health, reliability, and capacity planning.
• Implement and manage RBAC across observability platforms.
• Infrastructure, Security & Automation:
  Troubleshoot observability infrastructure issues across Linux VMs and Kubernetes pods.
• Secure observability and platform endpoints using TLS, reverse proxies, and authentication mechanisms (MFA, LDAPS, OAuth).
• Build and maintain CI/CD pipelines for observability and reliability tooling.
• Extend pipelines to support multiple environments and regions with consistency and repeatability.
• Reliability Culture & Enablement:
  Champion an SRE and observability-first culture across engineering teams.
• Coach teams on golden signals, service health modeling, and reliability trade-offs.
• Enable teams to move from reactive monitoring to proactive reliability engineering.

• Core Technical Skills Strong hands-on experience with:
  Prometheus, Grafana;
  Elasticsearch, Kibana (cluster operations, ILM, tuning);
  Open Telemetry, Jaeger, Zipkin;
  Kubernetes & Open Shift;
  Linux OS troubleshooting; CI/CD pipelines and automation
• Solid understanding of SRE principles, including SLIs, SLOs, error budgets, and incident management.
• Experience supporting production, highly available, distributed systems.
• Working Hours:
  
  Monday to Friday, 9:00 AM – 6:00 PM. Occasional weekend support may be required for critical deployments or incidents; compensatory off will be provided.