We are seeking a Site Reliability Engineer (SRE) who will drive stability, reliability, and performance across our Azure and GCP-based platforms.
This role blends operational excellence, proactive incident management, and strong collaboration with DevOps, Cloud, and Security teams.
The ideal candidate will have hands-on experience with multi-cloud environments (Azure and GCP), IaC (Terraform/Ansible), CI/CD (Jenkins/GitHub Actions), and modern observability and AI-Ops systems. The engineer will also contribute to governance, cost optimization, and automation strategies that reduce toil and prevent issues before they occur. A key aspect of this role is the ability to perform deep-dive troubleshooting of application performance and errors by analyzing logs and traces in platforms like Grafana and Datadog.
This position includes 24×7 support coverage (rotational) and requires strong ownership in managing major incidents, RCA processes, and continuous service improvements.
Key Responsibilities
Reliability & Incident Management
- Serve as a key member of the 24×7 on-call rotation, responding to and managing incidents across production and pre-production environments.
- Lead incident bridges, coordinate root cause analysis (RCA), and ensure post-incident reviews drive systemic improvements.
- Maintain clear communication with cross-functional teams and leadership during major incidents.
Monitoring, AI-Ops, Alerts & Prevention
- Build, tune, and maintain observability dashboards (Azure Monitor, GCP Operations Suite, Prometheus, Grafana, Datadog, Log Analytics).
- Perform deep-dive troubleshooting of application and service-level issues using distributed tracing and log analysis (Grafana, Datadog) to pinpoint root causes beyond infrastructure.
- Define SLOs, SLIs, and error budgets to proactively identify and mitigate reliability risks before customer impact.
- Integrate AI-Ops tools for anomaly detection, predictive alerting, and automated incident correlation.
- Continuously enhance alert quality, reduce false positives, and automate runbooks for faster recovery.
- Analyze trends to prevent recurring issues and support teams in resilience engineering.
