Senior Software Engineer, Analytics Platform

Sentry • San Francisco, CA

1d • $190,000 - $280,000 • Hybrid

About The Position

Bad software is everywhere, and we’re tired of it. Sentry is on a mission to help developers write better software faster so we can get back to enjoying technology.
With more than $217 million in funding and 100,000+ organizations that believe we’re on to something, we're building performance and error monitoring tools that help companies like Disney, Microsoft, and Atlassian spend less time fixing bugs and more time building products.
Sentry embraces a hybrid work model across our global hubs, with Mondays, Tuesdays, and Thursdays set as in-office anchor days to encourage meaningful collaboration. If you like to selfishly build things that make your digital life better, come help us build the next generation of software monitoring tools.
The Event Analytics Platform (EAP) team is responsible for the infrastructure that powers all of Sentry's time-series data and searching capabilities across billions of events with sub-second latency. We started this initiative by building Snuba, the primary storage and query service for Sentry's event data powered by ClickHouse, and we are now focused on unlocking deeper visibility and reporting across the terabytes of event data our users generate.
As a Senior Software Engineer, you will lead efforts to push the boundaries of data visibility at Sentry. You will do this by expanding the capabilities of our search infrastructure, building new capabilities on top of our state-of-the-art storage layer and increasing the performance and integrity of Sentry’s core data services. You will also help shape Infrastructure's technical direction at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality.
If you want to solve the hard problems that come with scaling event data into the petabyte range, this could be the job for you.

Requirements

• Minimum of 4+ years of experience in backend or infrastructure engineering.
• Strong knowledge of replicated and/or distributed data storage systems.
• Proficiency in Python or a comparable language.
• Strong communication skills, with the ability to articulate technical concepts clearly.
• In the San Francisco Bay Area or willing to relocate.

Nice To Haves

• You have experience with some or all of the following systems we leverage:
• Disk-driven Storage Systems: PostgreSQL, ClickHouse
• Memory-driven Storage Systems: Memcached, Redis
• Streaming Platforms: Kafka, RabbitMQ

Responsibilities

• Expand EAP's ability to deliver data at world-class speed and reliability.
• Architect and automate services and systems to scale reliably under growing demand.
• Make architectural trade-offs that balance product requirements with engineering constraints.
• Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions.
• Lead design and discussions around deliverables the team is working towards.
• Improve the maintainability and developer experience of the codebases EAP owns.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed