Site Reliability Engineer

Role and Responsibilities

• Build, deploy, and manage reliability, monitoring, and observability solutions across application, infrastructure, cloud, and on-prem environments
• Design, configure, and maintain dashboards and alerts using tools such as AppDynamics, Grafana, Sumo Logic, Datadog, Splunk, Dynatrace, or equivalent platforms.
• Implement automation for deployments, monitoring, remediation, and operational workflows using Python, Bash, PowerShell, Terraform, or Ansible.
• Develop self-healing solutions to reduce operational toil and improve system resilience.
• Troubleshoot complex production issues, lead incident response during P1/P2 events, perform root cause analysis (RCA), and drive preventive actions.
• Create and maintain incident playbooks and escalation workflows.
• Support and manage containerized workloads, Kubernetes clusters, and orchestration platforms following SRE and IaC best practices.
• Define, measure, monitor, and report SLIs, SLOs, and error budgets for critical applications and infrastructure components.
• Integrate observability platforms with ITSM tools to automate ticket creation, alert enrichment, correlation, and resolution workflows.
• Analyze logs, metrics, and traces for anomaly detection, trend analysis, capacity planning, and performance optimization.
• Partner with Application, DevOps, Infrastructure, Network, Database, and Security teams to improve reliability and reduce operational toil.
• Support CI/CD pipelines and release processes by enforcing reliability, scalability, and resiliency standards.
• Contribute to DR/BCP planning, resilience testing, and platform hardening initiatives.
• Maintain operational documentation, architecture diagrams, SOPs, and runbooks.
• Identify opportunities to improve system stability, observability coverage, and operational efficiency.

Required Skills

• Minimum 5 - 8 years of experience in Site Reliability Engineering, Application Support, DevOps, or Infrastructure Engineering roles.
• Build, deploy, and manage reliability, monitoring, and observability solutions across application, infrastructure, cloud, and on-prem environments.
• Design, configure, and maintain dashboards and alerts using tools such as AppDynamics, Grafana, Sumo Logic, Datadog, Splunk, Dynatrace, or equivalent platforms.
• Implement automation and self-healing solutions for deployments, monitoring, remediation, and operational workflows using Python, Bash, PowerShell, Terraform, or Ansible.
• Troubleshoot complex production issues, lead incident response during P1/P2 events, perform RCA, and drive preventive actions to avoid recurrence.
• Support and manage containerized workloads, Kubernetes clusters, and container orchestration platforms following SRE and IaC best practices.
• Define, measure, monitor, and report SLIs, SLOs, and error budgets for critical applications and infrastructure components.
• Integrate observability platforms with ITSM tools to automate ticket creation, alert enrichment, correlation, and resolution workflows.
• Analyze logs, metrics, and traces to perform anomaly detection, trend analysis, capacity planning, and performance optimization.
• Partner closely with Application, DevOps, Infrastructure, Network, Database, and Security teams to improve reliability and reduce operational toil.
• Support CI/CD pipelines and release processes by enforcing reliability, scalability, and resiliency standards.
• Contribute to DR/BCP planning, resilience testing, and platform hardening initiatives.
• Create and maintain operational documentation, architecture diagrams, runbooks, SOPs, and incident playbooks.
• Continuously identify opportunities to improve system stability, observability coverage, and operational efficiency.