Senior Software Engineer, Events Analytics Platform

Senior Software Engineer · Senior · Full Time

San Francisco, CaliforniaUSD 190k – 280k2mo ago
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Role

What you'll do.

Sentry is seeking a Senior Software Engineer for its Events Analytics Platform (EAP) team, focusing on scaling event data infrastructure and improving data visibility. The ideal candidate will lead efforts to enhance search capabilities, optimize data storage systems, and drive technical innovation in handling petabyte-scale event data with sub-second latency.

Responsibilities

  • Infrastructure Expansion: Expand Events Analytics Platform's ability to deliver data at world-class speed and reliability
  • System Architecture: Architect and automate services and systems to scale reliably under growing demand
  • Technical Leadership: Lead design and discussions around team deliverables, and help shape Infrastructure's technical direction
  • Code Quality: Maintain and grow team's code quality initiatives through regular code reviews and contributing to design decisions
  • Performance Optimization: Improve maintainability and developer experience of EAP codebases

Qualifications

What we look for.

Technical

  • Backend Engineering

    Minimum of 4+ years of experience in backend or infrastructure engineering

  • Distributed Systems

    Strong knowledge of replicated and/or distributed data storage systems

  • Programming Proficiency

    Proficiency in Python or comparable language

Education

  • Computer Science

    Bachelor's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

  • Storage Systems

    Experience with disk-driven storage systems like PostgreSQL and ClickHouse

  • Memory Storage

    Familiarity with memory-driven storage systems such as Memcached and Redis

  • Streaming Platforms

    Experience with streaming platforms like Kafka and RabbitMQ

Skills

Required

  • Distributed Computing

    Advanced understanding of distributed system design and scalability

  • Python

    Strong Python programming skills with ability to write high-performance, scalable code

  • Data Infrastructure

    Experience designing and managing large-scale data storage and query systems

Preferred

  • ClickHouse

    Nice to have

    Deep understanding of ClickHouse and columnar database technologies

  • Performance Optimization

    Nice to have

    Proven track record of improving system performance and reducing latency

  • Architectural Design

    Nice to have

    Experience in making complex architectural trade-offs balancing product requirements with engineering constraints

Tech stack

Languages

Python

Databases

PostgreSQLClickHouseRedisMemcached

Tools

KafkaRabbitMQ

Compensation

Pay and benefits.

Base·USD 190,000 – 280,000

Equity·Stock options

Benefits

  • Health Insurance

    Comprehensive group health insurance coverage

  • Equity Grants

    Stock options or equity participation

  • Paid Time Off

    Competitive paid time off and vacation policy

Process

Interview steps.

  1. 01

    Initial Screening

    Phone or video call with recruiting team to discuss background and role fit

  2. 02

    Technical Interview

    In-depth technical discussion focusing on distributed systems, data infrastructure, and system design

  3. 03

    System Design Challenge

    Architectural design problem solving demonstrating scalability and performance optimization skills

  4. 04

    Team Interview

    Collaborative interviews with potential team members from Events Analytics Platform

  5. 05

    Final Executive Interview

    Discussion with senior leadership about vision, potential impact, and cultural alignment

Full posting

Original listing.

About Sentry

Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.

Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.

About the role

The Events 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.

In this role you will:

  • 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.

Examples of projects our team has worked on:

Qualifications

  • 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.

  • 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

  • Strong communication skills, with the ability to articulate technical concepts clearly.

  • In the San Francisco Bay Area or willing to relocate.

The base salary range that Sentry reasonably expects to pay for this position is $190,000 to $280,000 USD. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company’s benefit plans/programs.

 

Equal Opportunity at Sentry

Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.

If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

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