Software Engineer, Streaming Platform

About [Employer]

Software runs the world and the pace is faster than ever. [Employer] 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, [Employer] is today’s application monitoring standard and our team is building its AI-native future.

About the role

The Streaming Platform team at [Employer] 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 [Employer] 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.

In this role you will

• 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.

You’ll love this job if you

• 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.
• You are motivated by designing systems that balance flexibility for developers with best practices for stability.
• You are excited to shape how [Employer] 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 Streaming, or similar tools.

The base salary range that [Employer] reasonably expects to pay for this position is $163,000 to $200,000 CAD or $155,000 to $190,000 USD. 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 [Employer]’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 [Employer] Benefits for more details about the Company’s benefit plans/programs.

 

Equal Opportunity at [Employer]

[Employer] 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 [Employer]. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. [Employer] 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 removed].

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