Platform Engineer II

duolingo· 86 open roles

Location TBD On-siteFull-time3 weeks ago

Salary

$153,000 - $207,000

Experience

Mid

Job Type

Full-time

Posted

3 weeks ago

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About This RoleAI processing…

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

Key Responsibilities

1
Raise the operational bar: define SLOs, build dashboards/alerts, write runbooks, and participate in on-call/incident response to keep the platform dependable.
2
By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Requirements

Strong problem-solving skills and experience delivering and shipping pragmatic solutions in production environments.
Experience with distributed systems fundamentals (networking, service-to-service communication, failure modes, caching/storage concepts).
Experience working on production systems (through industry roles, internships, or substantial open-source work).
Experience with one or more CI/CD tools (Jenkins, Argo CD, GitHub Actions) and infrastructure management tools (Terraform, CloudFormation)
Clear written and verbal communication skills—comfortable writing docs/runbooks and collaborating across teams.
Functional knowledge of Linux system administration and automation
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).