Summary
What you’ll impact
The Sr. Site Reliability Automation Engineer will design and implement observability solutions, drive automation to reduce operational toil, support production incidents, and improve system reliability and performance. The role involves working with distributed systems, monitoring tools, and collaborating with engineering and support teams to enhance stability and scalability.
Responsibilities
What you'll do
- Design and implement end-to-end observability (logs, metrics, traces) across distributed systems
- Build Observability & Monitoring
- Integrate and optimize tools such as AppDynamics, Dynatrace, Grafana, and Splunk
- Develop dashboards, alerts, and telemetry frameworks to provide real-time visibility
- Identify gaps in monitoring and drive adoption of best practices
- Identify repetitive operational work and automate it using code and tooling
- Build self-healing and auto-remediation solutions
- Enable scalable, reliable processes through automation and engineering rigor
- Improve operational efficiency across production environments
- Troubleshoot and resolve complex production issues across distributed systems
- Participate in incident management, triage, and root cause analysis
- Improve monitoring and automation based on recurring incident patterns
- Collaborate with support and engineering teams to improve system stability
- Define and measure service health using SLIs/SLOs and key performance metrics
- Identify system bottlenecks and reliability risks
- Contribute to performance optimization and capacity planning
- Provide input into system architecture to improve resilience and scalability
Requirements
What you’ll bring
- 3–6 years of experience in Site Reliability Engineering, Software Engineering
- Strong programming background in Java (preferred) or another modern language
- Experience with at least one observability platform: AppDynamics, Dynatrace, Grafana, or Splunk
- Hands-on experience supporting and troubleshooting production systems
- Strong analytical and problem-solving skills
- Ability to identify inefficiencies and drive automation