Senior Software Engineer, Atlas Stream Processing

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.

Position Expectations

• 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

Qualifications

• 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 have

• 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

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation