Senior Software Engineer, Events Analytics Platform

Senior Software Engineer · Senior · Full Time

Toronto, Ontario, CanadaCAD 200k – 295k2mo ago
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Role

What you'll do.

Sentry is seeking a Senior Software Engineer for its Events Analytics Platform team, focusing on building and scaling advanced data infrastructure that powers time-series data processing and search capabilities for over 200,000 organizations. The ideal candidate will lead technical initiatives to enhance data visibility, performance, and reliability while working with cutting-edge technologies in distributed systems and event data management.

Responsibilities

  • Infrastructure Expansion: Expand Events Analytics Platform's capability 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 technical discussions around team deliverables and architectural decisions
  • Code Quality: Maintain and improve team's code quality through regular code reviews and strategic design contributions
  • Developer Experience: Enhance the maintainability and overall developer experience of the team's codebases

Qualifications

What we look for.

Technical

  • Backend Engineering

    Minimum 4+ years of experience in backend or infrastructure engineering

  • Distributed Systems

    Strong knowledge of replicated and distributed data storage systems

  • Programming Proficiency

    Advanced 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

    Demonstrated experience with disk-driven and memory-driven storage systems like PostgreSQL, ClickHouse, Memcached, and Redis

  • Streaming Platforms

    Familiarity with streaming platforms such as Kafka and RabbitMQ

Skills

Required

  • Python

    Strong programming skills in Python with ability to write efficient, scalable code

  • Distributed Computing

    Deep understanding of distributed system design and performance optimization

  • Data Infrastructure

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

Preferred

  • ClickHouse

    Nice to have

    Advanced knowledge of ClickHouse for high-performance analytical databases

  • Kafka

    Nice to have

    Experience with Kafka for robust, scalable event streaming

  • Performance Optimization

    Nice to have

    Track record of improving system performance and reliability at scale

Tech stack

Languages

Python

Databases

PostgreSQLClickHouseRedisMemcached

Tools

KafkaRabbitMQ

Compensation

Pay and benefits.

Base·CAD 200,000 – 295,000

Benefits

  • Competitive Compensation

    Salary range of $200,000 to $295,000 CAD with potential equity grants

  • Employee Benefits

    Comprehensive benefits package including health insurance and potential incentive compensation

  • Inclusive Culture

    Commitment to diversity, equality, and creating an inclusive work environment

  • Hybrid Work

    Flexible work arrangement with hybrid work model in Toronto

Process

Interview steps.

  1. 01

    Initial Screening

    Review of resume and initial qualifications by recruitment team

  2. 02

    Technical Phone Screen

    Preliminary interview assessing technical skills and background

  3. 03

    Technical Interview

    In-depth technical discussion focusing on distributed systems, data infrastructure, and problem-solving skills

  4. 04

    System Design Challenge

    Evaluate candidate's ability to architect scalable and efficient systems

  5. 05

    Team Fit Interview

    Assess cultural alignment and collaboration potential with Events Analytics Platform team

  6. 06

    Final Leadership Interview

    Meeting with senior engineering leadership to discuss vision and potential contributions

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 Toronto area or willing to relocate.

The base salary range that Sentry reasonably expects to pay for this position is $200,000 to $295,000 CAD. 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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