Level

Sentry

Software Engineer, Streaming Platform

Sentry is hiring a Software Engineer, Streaming Platform in San Francisco, United States. It pays $155k-$190k a year and Level rates it ; you can apply on Sentry.

Level's read on this job

  • Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
  • The posting allows some remote work.
  • Tools and skills the posting cites include Kafka, Kubernetes and distributed systems.
  • Level classifies it as a senior role.
  • Level lists 41 other open roles at Sentry.

AI in this role

Design and build real-time data ingestion and streaming infrastructure to support scalable application monitoring systems.

kafkakubernetes
distributed-systemsstream-processingbackendinfrastructure

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 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 San Francisco, with three days per week in the office to work closely with engineering teams.

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 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 Streaming, or similar tools.

The base salary range that Sentry reasonably expects to pay for this position is $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 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 accommodations@sentry.io.

Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.

How we rate this

Software Engineer, Streaming Platform at Sentry rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsStream ProcessingBackendInfrastructureKafkaKubernetes

Also common in software engineer jobs at this level

Pay

This job starts at
$155k
Typical software engineer job
$168k

This posting starts 8% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where stream processing was part of your work. What did you do?
  3. Tell me about a project where backend was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Walk me through how you've used Kafka in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Stream Processing, Backend, Infrastructure, and Kafka. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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