Software Engineer, Streaming Platform

Sentry; United States; Hybrid; USD 77,000 - 112,000; Full time

Job summary

Sentry is building the Streaming Platform to power ingestion pipelines and real-time data processing with low latency and high reliability. You will help deploy and operate components like Kafka, the streaming runtime, and developer-facing abstractions for scalable streaming workflows.

The role focuses on designing resilient, high-throughput systems, developing automation for fleet management, and collaborating with product engineers to deliver fast, reliable ingestion pipelines while improving

Qualifications

• 2-3+ years of software engineering experience in distributed systems, data infrastructure, or real-time streaming.
• Proficiency in Python, Rust, Go, or Java (Python and Rust favored).
• Experience deploying and operating in cloud environments such as Kubernetes, AWS, or GCP.
• Nice to have: Kafka, Flink, Spark streaming tech experience.

Responsibilities

• Design, build, and operate components of the Streaming Platform including Kafka and runtime.
• Implement high-throughput, reliable stream processing with strong correctness guarantees.
• Build automation and control plane for Kafka fleet management to improve efficiency.
• Collaborate with product engineers to enable fast, reliable ingestion pipelines.
• Improve observability, monitoring, and failover for real-time systems.

Skills

Distributed systems

Programming languages

Cloud environments

Streaming techs

Job description

About Sentry

About SentrySoftware 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 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.

This role is based in Toronto, with three days per week in the office to work closely with engineering teams.

In this role you will

In this role you willDesign, 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.

You’ll love this job if you

You’ll love this job if youYou 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.

You are motivated by designing systems that balance flexibility for developers with best practices for stability.

You are excited to shape how Sentry handles near real-time ingestion and analytics at scale.

You value being part of a collaborative team where your contributions make a broad impact across the company.

Qualifications

At least 2-3 years of software engineering experience, with background in distributed systems, data infrastructure, or real-time streaming.

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).

Experience building and operating systems in cloud environments such as Kubernetes, AWS, or GCP.

Nice to have: experience with streaming technologies such as Kafka, Flink, Spark St