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Senior Site Reliability Engineering

Duolingo - Pittsburgh, PA, United States - In-office - posted 2026-09-04

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Salary: USD 182,800 - 247,300 / annual

Duolingo is seeking a Senior Site Reliability Engineer to join its platform engineering organization. In this role, you will partner with product and platform engineering teams to ensure Duolingo's distributed systems and products are built, maintained, and operated with exceptional quality and measurable scalability. Key responsibilities include: - Collaborating with internal teams to identify and eliminate sources of instability in distributed systems, driving operational excellence across the platform - Supporting core infrastructure by understanding, diagnosing, and debugging systems in production environments - Providing system design consulting, developing software platforms and frameworks, and conducting launch reviews and root cause analysis - Establishing and maintaining sustainable postmortem and incident response practices - Advocating for and implementing changes that improve reliability, scalability, and engineering velocity - Reducing operational toil through iterative development of tooling and automation - Working closely with engineering teams on feature releases and becoming a subject matter expert on key services Required qualifications: - 5+ years of site reliability engineering or DevOps experience with products serving millions of users - Demonstrated ability to identify and solve issues in large-scale distributed systems - Proficiency in Java, Kotlin, Python, or Go - Strong understanding of containerization and container orchestration technologies (Docker, Kubernetes, Mesos, Nomad, etc.) Preferred qualifications: - Experience improving automation and tooling to reduce service maintenance burden - Proven track record driving improvements to incident response processes - Experience troubleshooting and assessing reliability in DynamoDB, MySQL, and/or PostgreSQL databases Duolingo operates at massive scale with 500+ million learners globally and runs 300+ concurrent experiments to drive data-driven decisions. This is an opportunity to work on infrastructure that powers education for hundreds of millions of users worldwide.

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