Platform Engineer

Duolingo

New York, United States Posted September 20, 2026

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On-site Full-time Mid level
Salary Range

$153,000 - $207,000

Job Description

Join our team as a Platform Engineer on the Compute team, where you'll improve how engineers build and run services, ensuring our compute platform is reliable at scale. You'll build and operate core compute primitives, improve the delivery pipeline, raise the operational bar, and enable effective self-service. Enjoy a range of benefits, including medical, dental, and vision coverage, mental health support, paid parental leave, a 401(k) with generous match, and more.

  • Improving the reliability and scalability of the compute platform for engineers and learners.
  • Building and operating core compute primitives that power production workloads based on Kubernetes.
  • Enhancing the delivery pipeline from commit to production by evolving GitOps and deployment patterns.
  • Functional knowledge of Linux system administration and automation
  • Experience with distributed systems fundamentals (networking, service-to-service communication, failure modes, caching/storage concepts)
  • Experience with one or more CI/CD tools (Jenkins, Argo CD, GitHub Actions) and infrastructure management tools (Terraform, CloudFormation)
  • Experience working on production systems (through industry roles, internships, or substantial open-source work)
  • Clear written and verbal communication skills—comfortable writing docs/runbooks and collaborating across teams
  • Strong problem-solving skills and experience delivering and shipping pragmatic solutions in production environments
  • A Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience
  • Experience managing a production infrastructure on AWS, Google Cloud, Alibaba Cloud, or Azure
  • Exposure to multi-cluster or multi-region architectures and the operational patterns that make them reliable
  • Experience with service mesh / zero-trust networking patterns (e.g., Istio mTLS, traffic management, authorization policies)
Required Skills
Kubernetes Linux system administration distributed systems communication CI/CD Jenkins Argo CD GitHub Actions Terraform collaboration problem solving Amazon Web Services Google Cloud Platform Azure service mesh
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