Senior Manager, Cloud Reliability Infrastructure

5 days ago

Kannur, Kerala, India beBeeCloudEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Cloud Engineering Leader

This is a hybrid role that blends technical leadership with team mentorship and cross-functional coordination.

  • Leadership Role: Establish and lead the implementation of organizational reliability strategies, aligning service level agreements, service level objectives, and error budgets with business goals and customer expectations.
  • Incident Response: Develop and institutionalize incident response frameworks, including escalation policies, on-call scheduling, service ownership mapping, and root cause analysis process governance.
  • Technical Reviews: Lead technical reviews for infrastructure reliability design, high-availability architectures, and resiliency patterns across distributed cloud services. Champion observability and monitoring culture by standardizing tooling, alert definitions, dashboard templates, and telemetry data schemas across all product teams.
  • Continuous Improvement: Drive continuous improvement through operational maturity assessments, toil elimination initiatives, and SRE OKRs aligned with product objectives. Collaborate with cloud engineering and platform teams to introduce self-healing systems, capacity-aware autoscaling, and latency-optimized service mesh patterns.
  • Principal Escalation Point: Act as the principal escalation point for reliability-related concerns and ensure incident retrospectives lead to measurable improvements in uptime and mean time to resolve.
  • Runbook Standardization: Own runbook standardization, capacity planning, failure mode analysis, and production readiness reviews for new feature launches. Mentor and develop a high-performing SRE team, fostering a proactive ownership culture, encouraging cross-functional knowledge sharing, and establishing technical career pathways.

Experience Required: 10+ years total experience, with 3+ years in a leadership role in SRE or cloud operations.

Technical Knowledge and Skills:

  • Mandatory: Deep understanding of Kubernetes, Google Kubernetes Engine, Prometheus, Terraform; Advanced GCP administration; Jenkins, Argo CD, GitHub Actions; Incident Management: Full lifecycle, tools like OpsGenie.
  • Nice to Have: Knowledge of service mesh and observability stacks; Strong scripting skills (Python, Bash); BigQuery/Dataflow exposure for telemetry.

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