- Define and enforce rigorous SLI/SLO/SLA frameworks to provide clear visibility into system health and drive data-backed improvements in service reliability.

- Lead large-scale automation initiatives to eliminate manual toil, thereby increasing deployment velocity and reducing human error in production environments.

- Establish advanced observability practices, including distributed tracing and proactive alerting, to minimize mean time to detection (MTTD) and resolution (MTTR) for complex incidents.

Must have :

- Demonstrated experience with the observability tools, automation and resilience and cloud architecture.

Nice to have :

- Demonstrated experience or knowledge with the following Observability Tools : Splunk, Honeycomb, CloudWatch, Dynatrace, AppDynamics.

- Metrics & Dashboards : SLI/SLO/SLA generation, JIRA dashboards, SLO trackers.

- Monitoring & Alerting : CASE methodology, anomaly detection, predictive alerting, synthetic monitoring.

- Automation & Resilience : Blue Prism, Python, UiPath, Chaos Engineering, FMEA.

- Cloud Architecture : AWS, Azure.

- Understanding of Operating Systems and Networks.

- Leadership & Influence Coaching & Enablement : Support product teams in elevating operational maturity and reliability readiness.

- Strategic Thinking : Align observability goals with business outcomes and OKRs.

- Community Engagement : Contribute to SRE guilds, CoPs, and internal training initiatives.

- Influence Direction : Work with teams to prioritize and implement resiliency initiatives.

- Incident Management : Support teams with debugging and problem solving during Major Incidents.