Manager, Site Reliability Engineering

Overview

Lead high-severity incident and problem management across AWS and GCP platforms, combining hands-on troubleshooting with process ownership to drive rapid recovery, root cause elimination and long-term reliability improvements.

What you'll do

• Implement and lead post-mortem processes within SLAs, identify root causes, and drive corrective actions.
• Rapidly diagnose and resolve failures across Kubernetes, Terraform, and AWS using advanced troubleshooting frameworks.
• Implement automation and enhanced monitoring to proactively detect issues and reduce incident frequency.
• Collaborate with AWS and GCP TAMs and other vendors to request new features or updates.
• Coach and elevate SRE and DevOps team members, promoting best practices in reliability.
• Establish and maintain a problem backlog, ensuring timely resolution and continuous process improvement.
• Envision and drive how a modern SRE team should operate by leveraging AI/ML technologies.
• Own L3 OnCall responsibilities.

What you'll need

• 12+ years of experience in SRE, DevOps, or Cloud Infrastructure, with at least 5 years leading engineering teams.
• Strong hands-on expertise across AWS and GCP, including cloud architecture, infrastructure, networking, security, and production operations.
• Deep understanding of Kubernetes (EKS/GKE), Docker, Terraform, and infrastructure automation.
• Strong experience with distributed systems, microservices, and databases/streaming platforms such as RDS, Cassandra, Kafka, and MemSQL/SingleStore.
• Proficiency in Python or similar scripting languages, CI/CD pipelines, and automation frameworks.
• Strong expertise in observability across metrics, logs, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry.
• Proven ability to lead high-severity incidents, drive root-cause analysis, eliminate recurring issues, and improve service reliability.
• Strong understanding of SLI, SLO, SLA, capacity planning, scalability, resilience, and disaster recovery.
• Experience driving operational excellence through automation, toil reduction, and continuous improvement.
• Ability to collaborate across Engineering, Product, and Security teams, influence technical decisions, and communicate effectively with stakeholders.
• Strong understanding of BigQuery, including query optimization, workload management, performance tuning, and cost optimization.
• Experience with GCP FinOps, including cloud cost monitoring, cost attribution, budgeting, anomaly detection, resource rightsizing, and cloud spend optimization.

Nice to have

• Demonstrated interest in applying AI/ML to incident management, predictive analytics, and next-generation SRE practices.

Details

• Location: Bangalore, India (Bagmane Tech Park).
• Work mode: Most teams work from the office full time, with flexibility when needed.
• Immigration sponsorship: Not available for this position.