Role overview

Engineering Manager, Events Analytics Platform

Requirements and responsibilities

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In this role, you will

  • Grow and develop a team of engineers with high expectations for ownership and impact
  • Set the technical and strategic direction for the team, balancing short-term stability with long-term architectural evolution
  • Drive development of core EAP features, including support for complex analytical queries, dynamic routing logic across fidelity levels, storage and compute separation, and modern patterns for analytical storage
  • Ensure EAP can support the workload demands of AI agents and MCP servers that unlock new AI capabilities for Sentry
  • Guide the unification of all event data into EAP and enable fast, complex cross-event querying at scale
  • Partner closely with cross-functional teams including Product Engineering, Streaming, Production Engineering, Security, and Compliance
  • Lead the team through incidents, postmortems, and scaling challenges while fostering operational excellence
  • Build a healthy and collaborative team culture rooted in growth, accountability, and inclusion

You'll love this job if you

  • Enjoy mentoring and developing engineers, especially helping junior engineers grow into senior roles
  • Get excited by designing and running large-scale distributed data systems where performance and reliability matter
  • Are passionate about tackling the challenges of continuously scaling as Sentry's traffic grows
  • Like tackling complex querying and storage challenges at massive scale
  • Thrive on cross-functional collaboration with product and infrastructure teams
  • Want to work on a highly strategic team with significant visibility that shapes the future of Sentry's platform

Qualifications

  • 10+ years of industry experience in software engineering, including 4+ years of people management experience with career development and performance management
  • Strong technical background in data platforms, storage systems, or analytical backends (for example, ClickHouse, Pinot, or Druid)
  • Experience with distributed systems, query optimization, or scaling data-intensive workloads
  • Excellent communication skills with the ability to clearly articulate technical concepts to diverse audiences
  • Proficiency with Python, Rust, or a similar programming language is a plus
  • Familiarity with observability, developer tools, or event-driven systems is a plus
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Browse stack
FocusEngineering Role area
Seniority signalLeadCandidate level
StackPythonPrimary skills
Location2 accepted countriesEligibility

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