Senior Software Engineer, Search & Storage

Sentry

Toronto, Canada

2d ago

About the Role

The Search and Storage 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 , the primary storage and query service for Sentry's event data powered by ClickHouse, and we're now looking to provide even more visibility and reporting on the terabytes of data that our users send us.

As a Senior Software Engineer, you'll lead efforts to bring Sentry into a new age of data visibility. You’ll do this by expanding the capabilities of our search infrastructure, developing new solutions based on our state of the art storage and increasing the performance and integrity of Sentry’s core data services.

You’ll also contribute to the vision of Infrastructure at Sentry and collaborate with Product and other Engineering teams to turn that vision into a reality.

If you're looking for a high-impact role where you move a company from processing "big data" to "really big data", this could be the job for you.

In this role you will :

Expand Search and Storage's impact on delivering world-class data delivery.

Architect and automate services and systems to meet the demand of scale.

Make architectural decisions to balance the wants and needs of Product and Engineering teams.

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 approachability of the codebases that Search and Storage holds domain over.

Examples of projects our team has worked on :

Snuba, Sentry's new Search Infrastructure

Mitigating Risk while Migrating to ClickHouse

Getting Stronger Consistency out of a Datastore

Qualifications

5+ years relevant experience

Strong knowledge of replicated and / or distributed data storage systems

Experience with Python or a similar dynamic programming language

You have experience with some or all of the following systems we leverage : Disk-driven Storage Systems : PostgreSQL, ClickHouseMemory-driven Storage Systems : Memcached, RedisStreaming Platforms : Kafka, RabbitMQ

Excellent written and oral communication skills and ability to articulate technical concepts clearly and succinctly

In the Toronto area or willing to relocate

Benefits

Competitive salary and meaningful equity

100% medical, dental, and vision coverage for employees, 75% company-paid for dependents

Monthly commuter subsidy

401k program

Learning & Development stipend

Charitable matching program

Generous parental leave policy

Flexible working schedule and vacation policy, work from home policy, and real work / life balance

Friday catered lunches

Company events (Hack Weeks, All Hands, quarterly social events) and friends and family events

Relocation assistance

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