Senior Software Engineer (Streaming Platform)

• The Streaming Platform team at Sentry is building the next generation of infrastructure that powers our ingestion pipelines and real-time data processing systems
• Our platform ingests, processes, and distributes hundreds of thousands of events per second with low latency and high reliability
• We are creating a system that makes it easy for Sentry engineers to deploy and run streaming applications at scale by simplifying the complexity of Kafka, scaling consumers automatically, and managing state so product teams can focus on building great experiences for developers
• As part of this team, you will work on challenges at the intersection of distributed systems, real-time data processing, and developer experience
• You will help us create a self-service streaming platform that improves stability, accelerates time to production, and reduces operational overhead
• Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions
• Implement resilient, high-throughput stream processing systems that handle unbounded datasets with strong correctness guarantees (delivery, checkpointing, watermarking, and more)
• Build scalable automation and control plane for Kafka fleet management and improve efficiency
• Partner with product engineers to ensure our abstractions enable fast, reliable, and consistent ingestion pipelines
• Improve observability, monitoring, and failover for mission-critical real-time systems

Benefits

• Competitive Compensation + Equity
• Medical, Dental, Vision Insurance
• Commuter Stipend
• Professional Development Stipend
• Health & Wellness Benefits
• Charitable Matching Program
• Flexible PTO
• Paid Parental Leave
• 401k Plan- You value being part of a collaborative team where your contributions make a broad impact across the company
• You are excited to shape how Sentry handles near real-time ingestion and analytics at scale
• You are motivated by designing systems that balance flexibility for developers with best practices for stability
• You enjoy working on distributed systems at scale and care about reliability and performance
• You like building abstractions that make complex infrastructure easier for others to use
• Experience with streaming technologies such as Kafka, Flink, Spark Streaming, or similar tools
• 5+ years of software engineering experience, with background in distributed systems, data infrastructure, or real-time streaming
• Nice to have: experience with ClickHouse, Arrow or other columnar data processing, or modern streaming SQL engines such as Materialize or RisingWave
• Experience building and operating systems in cloud environments such as Kubernetes, AWS, or GCP
• Proficiency in a programming language such as Python, Rust, Go, or Java (we primarily use Python and Rust, but experience in similar languages is valuable)
• Strong understanding of partitioning, watermarks, windowing, stateful/stateless processing, and delivery guarantees