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Senior Software Engineer (Stream Processing)

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Onsite

Senior Software Engineer (Stream Processing)

MongoDB

Senior Software Engineer (Stream Processing)

Skills

Kafka

1 month ago

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Important information


Contract type:

Permanent

Salary:

$126,000 – $248,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

11 September 2026

What they need


  • Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds on MongoDB’s integrated developer data platform, so developers can stand up a stream processor and database with just a few API calls and lines of code, all fully managed. Our product is quickly gaining traction, and we are adding core features that you will contribute to and own
  • The team owns the C++ stream processing engine that powers Atlas Stream Processing, built on top of MongoDB’s Aggregation Framework. The team operates like a startup within the company, a small group with real autonomy, responsible for everything from the core execution engine and stream processing stages. We’re looking for a Senior Software Engineer to design, build, and evolve this execution engine
  • Design, build, and deliver core components of the system in collaboration with other stakeholders
  • Help shape architecture, development practices, and escalation policies as the teams and the product grow
  • Mentor fellow engineers and assume ownership and accountability of projects- Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational material of computer science, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
  • Strong sense of ownership, accountability, and pride
  • Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or databases
  • 5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale
  • Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization)
  • Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability
  • Hands‑on modern C++ experience in performance‑sensitive systems
  • Background with stream processing or query engines. Exposure to systems such as Flink, Spark, Beam, Kafka Streams, or database query engines

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