Senior Software Engineer, Atlas Stream Processing

New York, New York, United StatesHybridFull TimeSenior$126,000–$248,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

MongoDB is seeking a Senior Software Engineer to join the Atlas Stream Processing team. This role involves designing, building, and evolving the C++ execution engine for their integrated developer data platform. The ideal candidate will have a strong background in database internals or data processing systems, with at least 5 years of experience in building scalable database services, distributed systems, or foundational cloud services. Responsibilities include contributing to core components, shaping architectural and development practices, and mentoring other engineers. Experience with modern C++ and stream processing or query engines is preferred. This is a hybrid role based in New York City.

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 due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273396626

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$126,000—$248,000 USD

Sample MongoDB interview questions

1
Design an API Gateway
system designhard
2
Design Multi-player Figma
system designmedium
3
Sort a String by Frequency Sort a string by the frequency of its characters. Input: s = "cccaaa" Output: "cccaaa" or "aaaccc" Explanation: Both 'c' and 'a' appear three times, so sorting them by descending frequency keeps them grouped equally.
codingmedium

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