Tech Infra Engineer

The role

You will engineer and develop a unified application platform for hybrid application management using Kubernetes controllers. You will build resilient, multi-tenant control planes and deliver end-to-end automation for application lifecycles.

What you will do

• Engineer and develop a unified application platform for hybrid application management using Kubernetes controllers and feedback-driven control systems.
• Deliver end-to-end automation for application lifecycle including deployments, rollouts, failovers, and policy enforcement.
• Drive fleet-wide optimization for cost, performance, and latency through data-informed controls and capacity management.
• Build resilient, multi-tenant control planes and workflows that scale to millions of pods across thousands of clusters.
• Ensure reliability, security, and governance with clear guardrails, safe defaults, and automated remediation.
• Partner with product and customers to turn complex orchestration problems into simple, reusable platform primitives.
• Champion observability and continuous improvement with measurable, outcome-focused metrics.

Required qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Math, or a closely related field (or equivalent experience)
• 10+ years in backend software development and operations
• Recent experience designing and operating large-scale distributed systems (last 3 years)
• Fluency in one or more among Go, C/C++, Python, or Java
• Proven track record of delivering mission-critical systems
• Experience with cloud computing using AWS or Azure or GCP

Nice to have

• Kubernetes API machinery and semantics: SSA, SMP, server-side dry-run, watches/informers/listers, rate-limited workqueues, finalizers, owner references, leader election, API Priority and Fairness
• Controllers/operators and node daemons in Go: client-go/controller-runtime, reconciliation patterns, backoff and retry, idempotency, partitioned/sharded controllers, HA and failover
• CRDs and webhooks: versioning, conversion functions/webhooks, validating/mutating admission webhooks, policy frameworks and best practices
• Pod/runtime semantics: sidecars, init/ephemeral containers, probes (readiness/liveness/startup), lifecycle hooks, termination behavior, PDBs, QoS classes, ResourceQuota/LimitRange, topology spread, af
• Scaling systems: HPA (resource/custom/external metrics), VPA, cluster autoscaler; multi-dimensional scaling, health-aware/autopilot-style policies; external metrics adapters and SLO-driven scaling
• Federated and multi-cluster: placement/propagation, failover, drift detection, reconciliation strategies; consistent hashing and partitioning for scale
• Distributed systems: CRDTs and eventual consistency paradigms; Raft/memberlist/gossip; deep familiarity with etcd, Kafka, Redis and their operational characteristics
• Observability and data: Prometheus (cardinality control, recording rules), tracing; experience with vector databases for search and diagnostics; strong time-series forecasting and statistical modeling
• Languages and interfaces: Go (primary), Java/Python as needed; gRPC/protobuf; JSON/YAML/Jsonnet
• Leadership: ability to handle multiple competing priorities in a fast-paced environment and lead the delivery of large-scale services

Before you apply

• Complete the attached Internal Transfer Request Form and submit
• Apply with your Coupang e-mail address
• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

About the company

Coupang