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Senior Software Engineer, Atlas Stream Processing

Location
New York City
Compensation
$126k–$248k/yr
Level
senior
Type
full time · Remote OK

Requirements

Experience
5+ years

Benefits

Health Insurance 401k Match Equity/Stock Options Parental Leave Fertility Assistance Mental Health Counseling

Joblaze summary

In this role, the Senior Software Engineer will focus on designing and developing core components of the C++ stream processing engine that underpins Atlas Stream Processing. Candidates should have a strong background in database internals and experience with distributed systems, ideally with over five years in building scalable database services. This position is suited for experienced engineers who thrive in a startup-like environment and are eager to mentor others while taking ownership of complex projects. The team operates with significant autonomy, contributing to a rapidly evolving product that is gaining traction in the market.

Joblaze insights

Quick facts

Is the Senior Software Engineer, Atlas Stream Processing role remote?
It's hybrid — MongoDB expects some on-site time in New York City.
What's the salary range?
MongoDB lists $126,000–$248,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Senior Software Engineer, Atlas Stream Processing role.
Where is the role based?
MongoDB is hiring for this position in New York City.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++, Beam, Kafka Streams, Spark, stream processing, distributed systems.
What seniority level is this role?
MongoDB targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Software Engineer, Atlas Stream Processing role at MongoDB.

From the original posting

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

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