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Coupanginternal

Tech Infra Engineer

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hirly's read of this role

Seniority
Mid level
Country
CN
Work mode
Remote-friendly
First seen by hirly
14 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Please complete the attached Internal Transfer Request Form and submit.

Please make sure to apply with your Coupang e-mail address .

As a Staff Systems Engineer in Developer Platform, you will partner with leaders of multiple platform teams. You will work closely with product to define and implement simple solutions to complex orchestration problems, building a highly scalable, reliable, and efficient platform for our customers. You will engineer and develop Kubernetes controllers, operators, and node-level daemons for the application runtime; drive performance tuning and scaling; and design multi-cluster control-plane capabilities that scale to millions of pods across thousands of clusters.

What You Will Do

Engineer and develop a unified application platform for hybrid (multi-cluster, multi-region, multi-cloud) application management using Kubernetes controllers and feedback-driven control systems to meet SLOs.

Deliver end-to-end automation for application lifecycle (deployments, rollouts, failovers, policy enforcement) to minimize manual work for users.

Drive fleet-wide optimization for cost, performance, and latency through data-informed controls and capacity management, improving $/RPS and tail latency.

Build resilient, multi-tenant control planes and workflows that safely 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 and great developer experiences.

Champion observability and continuous improvement with measurable, outcome-focused metrics.

Basic 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

Preferred Qualifications

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, affinity/anti-affinity

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 (compaction, backpressure, retention, failover)

Observability and data: Prometheus (cardinality control, recording rules), tracing; experience with vector databases for search and diagnostics; strong time-series forecasting (classical + ML) and statistical modeling for proactive optimization

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 for complex business offerings

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.

Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

Please complete the attached Internal Transfer Request Form and submit.

Please make sure to apply with your Coupang e-mail address .

Original posting on Coupanginternal's site ↗

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