Senior Software Engineer, Events Analytics Platform
Senior Software Engineer · Senior · Full Time
Opens Sentry's application page
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 haveAdvanced knowledge of ClickHouse for high-performance analytical databases
Kafka
Nice to haveExperience with Kafka for robust, scalable event streaming
Performance Optimization
Nice to haveTrack record of improving system performance and reliability at scale
Tech stack
Languages
Databases
Tools
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.
- 01
Initial Screening
Review of resume and initial qualifications by recruitment team
- 02
Technical Phone Screen
Preliminary interview assessing technical skills and background
- 03
Technical Interview
In-depth technical discussion focusing on distributed systems, data infrastructure, and problem-solving skills
- 04
System Design Challenge
Evaluate candidate's ability to architect scalable and efficient systems
- 05
Team Fit Interview
Assess cultural alignment and collaboration potential with Events Analytics Platform team
- 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].
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.
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