Senior Software Engineer, Atlas Stream Processing

MongoDB•New York, NY

5d•Hybrid

About The Position

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. We're looking to speak with candidates in the New York City area for our hybrid working model.

Requirements

Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization)
5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale
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
Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability
Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or databases
Strong sense of ownership, accountability, and pride

Nice To Haves

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

Responsibilities

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