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Sr. Director, Site Reliability Engineering
Coupang operates one of the largest and most complex technology platforms in the world. We are seeking a Senior Director, Site Reliability Engineering (Head of SRE) to define and lead company-wide reliability, resilience, scalability, and operational excellence. This leader will transform reliability from a collection of team-specific practices into platform mechanisms that services inherit by tier, while advancing incident response toward an intelligent, AI-assisted, and increasingly autonomous operating model. We are looking for a visionary, industry-recognized technology leader who has previously conceived, built, and scaled a comparable SRE, production engineering, resilience, or autonomous-operations organization at a leading global technology company. The successful candidate must combine deep technical credibility with the organizational leadership required to align executives, influence architecture across the company, and build a world-class leadership bench.
Key Responsibilities
· Set a bold, multi-year vision for company-wide reliability, resilience, and autonomous operations, and translate that vision into an executable roadmap with measurable business outcomes.
· Define and own the SRE strategy, operating model, engineering standards, and reliability governance across Coupang.
· Build platform mechanisms that allow services to inherit reliability requirements based on service tier rather than recreate them independently.
· Lead initiatives that materially improve availability, resilience, scalability, performance, and operational readiness.
· Partner with engineering, product, infrastructure, security, finance, and business leaders to align reliability investments with customer and business priorities.
· Own executive reliability metrics, including availability, detection and recovery performance, change risk, incident recurrence, capacity readiness, and operational toil.
· Build and scale a world-class SRE organization capable of influencing engineering practices across the company.
Reliability Strategy, SLOs Engineering Governance
· Establish and evolve service-tier definitions, SLOs, SLAs, error budgets, reliability scorecards, and objective certification mechanisms such as RBD/RBO.
· Create clear reliability requirements for Tier 0, Tier 1, and Tier 2 services, including redundancy, load testing, disaster recovery, observability, and incident response.
· Ensure reliability governance is embedded in architecture, development, release, and production operations rather than applied as a final review.
· Drive systematic reduction of recurring incidents, reliability risks, operational debt, and unsafe change patterns.
· Influence company-wide architecture for graceful degradation, fault isolation, load shedding, circuit breaking, and failure containment.
Incident Management Autonomous Operations
· Transform incident management into a fast, disciplined, data-driven, and increasingly autonomous operating model.
· Enable AI-assisted detection, event correlation, triage, escalation, root-cause drafting, remediation recommendations, and selected guardrailed auto-remediation.
· Improve incident command, on-call quality, escalation mechanisms, communication, post-incident learning, and corrective-action completion.
· Reduce noisy alerts, manual on-call work, repeated diagnosis, and time spent coordinating across fragmented systems.
· Use incident and telemetry data to continuously improve platform standards, testing, capacity models, and engineering roadmaps.
Disaster Recovery, Resilience Capacity
· Own the strategy and execution model for disaster recovery, regional resilience, availability-zone loss, capacity-constrained recovery, and critical business continuity.
· Build reusable DR and failover mechanisms that services inherit from the platform rather than implement as bespoke projects.
· Establish objective RPO/RTO targets, automated readiness gates, regular game days, fault injection, and evidence-based recovery certification.
· Drive proactive and intelligent capacity management using forecasting, reservations, workload prioritization, and automated response to demand and failure scenarios.
· Partner with compute, traffic, networking, storage, and application leaders to enable safe zone evacuation, regional failover, and surge readiness.
Observability, Testing Reliability Intelligence
· Partner with Observability and TestOps leaders to integrate logs, metrics, traces, continuous profiling, testing, and incident intelligence into one reliability feedback loop.
· Ensure every critical service has actionable telemetry, meaningful SLOs, release-quality signals, and production-readiness evidence.
· Use production incidents and operational patterns to drive targeted integration, load, resilience, and regression testing.
· Establish executive reliability dashboards that provide trusted views of service health, risk, capacity, and operational effectiveness.
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