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Sentry · Posted 3w ago

Engineering Manager (Events Analytics Platform)

$220–450K/yrRemoteLead / manager

Job relayed by Stapply Data, its source: you apply there.

Location
🇺🇸 United States
Contract
Full-time
Role
Data leadership
Source
Stapply Data

Stack

The posting

Join Sentry, a leading developer-first observability platform, as an Engineering Manager for the Events Analytics Platform (EAP) team. In this highly visible leadership role, you will drive architectural evolution, ensure system stability, and mentor a talented team of engineers. You will be responsible for developing core EAP features, supporting AI workloads, and unifying all event data. This position offers competitive compensation, equity, and a range of benefits.

- Diriger une équipe d'ingénieurs pour construire et faire évoluer l'une des plateformes de données critiques de Sentry. - Définir la direction technique et stratégique de l'équipe, en équilibrant la stabilité à court terme avec l'évolution architecturale à long terme. - Collaborer étroitement avec des équipes interfonctionnelles pour garantir l'intégration et le succès des fonctionnalités de la plateforme.

- Like tackling complex querying and storage challenges at massive scale - Get excited by designing and running large-scale distributed data systems where performance and reliability matter - Enjoy mentoring and developing engineers, especially helping junior engineers grow into senior roles - 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 - Are passionate about tackling the challenges of continuously scaling as Sentry's traffic grows - Familiarity with observability, developer tools, or event-driven systems is a plus - Excellent communication skills with the ability to clearly articulate technical concepts to diverse audiences - Experience with distributed systems, query optimization, or scaling data-intensive workloads - 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) - Proficiency with Python, Rust, or a similar programming language is a plus