Site Reliability Engineer (SRE) - Azure | DevSecOps | IaC | Governance | Observability
About The Position
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.
Requirements
- 5+ years in Site Reliability, DevOps, Cloud Operations, or Customer support roles.
- Demonstrated experience in application-level troubleshooting by analyzing logs and traces to identify bugs, performance bottlenecks, and error conditions.
- Expertise in Azure and GCP cloud operations and distributed system reliability.
- Understanding of Terraform, Ansible, and CI/CD pipelines (Jenkins, GitHub Actions).
- Experience with observability and AI-Ops tools (Azure Monitor, GCP Operations Suite, Grafana, Prometheus, Datadog, etc.).
- Solid grasp of incident management frameworks (P1–P3 handling, RCA, PIRs, on-call rotations).
- Excellent analytical, troubleshooting, and communication skills.
Responsibilities
- 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.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
51-100 employees
