Technical Support Engineer

Sentry

Technical Support Engineer diagnosing complex issues for elite developers at Sentry. Mastering the Sentry Ecosystem to deliver strategic support and innovative solutions.

Posted 7/8/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsGoJavaJavaScriptMicroservicesPythonRuby

About the role

Key responsibilities & impact

Master the Sentry Ecosystem & Support Elite Developers
Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments.
Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability.
Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments.
Engineer Agentic Operations: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions.
Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely.
Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously.

Requirements

What you’ll need

4+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems.
Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories.
Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database.
AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention.
Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI.

Benefits

Comp & perks

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Hard Skills & Tools

PythonJavaScriptJavaRubyRoot-Cause AnalysisSDK TroubleshootingMicroservicesAPIsDistributed TracingSaaS Problem Solving

Soft Skills

Exceptional Communication