The opportunity
Sentry's issue platform processes billions of events every day to help millions of developers find and fix bugs. The hard part is deciding which events point to a problem, which belong together, and what a developer needs to know to investigate.
What you'll do
Build and scale features on a product surface handling billions of events: daily, where both query latency and correctness are immediately visible to users.
Own the design and delivery of substantial projects end to end, scoping: alongside product and design, making the technical calls within your scope, shipping, and instrumenting what you ship so the team can measure it.
You will contribute to meaningful technical product decisions: grouping quality, search performance, migrations and backfills against enormous datasets, and making the surface work well for both humans and agents.
Champion product quality and user experience. Build features that don't just: work—they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. You instrument everything so the team can measure and improve.
Mentor and elevate others . You've helped engineers grow their skills. You: celebrate wins and learn from failures alongside your teammates.
Are a distributed systems engineer who understands the realities of: high-scale architectures. You know about eventual consistency, partitioning strategies, caching layers, and query optimization. You've debugged enough systems at scale that you now know to design for failure and build systems that degrade gracefully.
What they're looking for
- + years of full-stack software engineering experience, ideally Python and TypeScript
- Strong domain modeling skills, with working experience in distributed systems, data stores, and message queues
- Excellent written and verbal communication skills
- Experience with PostgreSQL, ClickHouse, or Kafka is preferred
