Director, Site Reliability Engineering (Production Engineering)

Overview

Lead the Site Reliability Engineering teams in driving 99.99%+ availability across a cloud platform processing hundreds of billions of daily transactions, and lead Production Engineering across India.

What you'll do

• 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 while driving engineering initiatives to measurably reduce MTTD, MTTA, and MTTR
• Oversee capacity planning, resource forecasting, and efficiency efforts to ensure key infrastructure scales reliably
• Implement high-signal alerting frameworks and actionable runbooks, minimizing alert fatigue while ensuring zero unmonitored blind spots
• Lead Production Engineering across India, driving operational rigor while coaching technical leadership on strategy, decision-making, and organizational scaling

What you'll need

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 12+ years of engineering experience, including 5+ years managing engineering managers and distributed teams, with a proven track record as a site leader scaling and inspiring teams
• Proven track record of operating effectively within globally distributed engineering teams, partnering closely with US-based leadership and stakeholders
• Deep understanding of modern observability architectures, including distributed tracing, high-cardinality metrics engines, distributed log indexing, and streaming telemetry pipelines (e.g., Kafka, OpenTelemetry, Prometheus, ClickHouse, Elasticsearch)
• 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

Nice to have

• 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, with high EQ, resilience under pressure, and a passion for developing people and engineering culture

Details

• Hybrid work mode, based in Bangalore
• Reports to the VP, Engineering in the Cloud Infrastructure & Operations department