Director, Site Reliability Engineering (Production Engineering)
Bangalore, IND · Hyderabad · 5+ years experience · Hybrid · Posted Sep 29, 2026
At a glance
- Experience
- 5+ years experience
- Workplace
- Hybrid
- Location
- Bangalore, IND · Hyderabad
About the role
- The Director, Site Reliability Engineering will lead SRE teams in driving 99.99%+ availability across a cloud platform processing hundreds of billions of daily transactions.
- This role involves owning system architecture, automated incident mitigation, and 24/7 operational reliability while scaling engineering talent across India and global headquarters.
Responsibilities
- Take end-to-end operational accountability for the availability, latency, and performance of Tier-0 and Tier-1 internally facing platforms and backend infrastructure.
- Enforce multi-nines SLAs, SLOs, and error budgets across services.
- Drive engineering initiatives to measurably reduce MTTD, MTTA, and MTTR.
- Oversee capacity planning, resource forecasting, and efficiency efforts.
- Implement high-signal alerting frameworks and actionable runbooks.
- Lead Production Engineering across India.
- Coach technical leadership on strategy, decision-making, and organizational scaling.
Requirements
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions.
- 12+ years of engineering experience.
- 5+ years managing engineering managers and distributed teams.
- Proven track record of operating effectively within globally distributed engineering teams.
- Deep understanding of modern observability architectures including distributed tracing, high-cardinality metrics engines, distributed log indexing, and streaming telemetry pipelines.
- Hands-on background architecting, deploying, and supporting hyper-scale cloud-native platforms running on Kubernetes and multi-cloud infrastructure.
- Proven expertise in site reliability engineering principles, chaos testing, capacity planning, and automated incident triage.
Preferred qualifications
- Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience.
- Familiarity with high-volume data ingestion, backpressure management, real-time aggregation, and data lifecycle management.
- Executive-level communicator adept at translating complex technical trade-offs for leadership.
Benefits
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
Workplace
- Hybrid role based in Bangalore.
Skills
- Kubernetes
- Kafka
- OpenTelemetry
- Prometheus
- ClickHouse
- Elasticsearch
- AI/ML
- Cloud-native Platforms
- Multi-cloud Infrastructure
- Chaos Testing
