MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
Atlas Data Federation gives developers a powerful way to query, transform, and analyze data combined across a variety of sources—including multiple MongoDB Atlas clusters and cloud object storage (like Amazon S3)—without needing to copy or move the data. By extending the MongoDB Query Language (MQL) to remote sources, we offer a seamless way to work with distributed data through a single interface.
Our team builds and operates the backend systems that make this possible—from query planning and optimization, to execution and data access across heterogeneous backends. We own critical infrastructure that operates at high volume and low latency, handling complex federated queries over exabytes of data.
As a senior software engineer on the Atlas Data Federation (ADF) team, you’ll be trusted with high-impact, high-visibility work on a rapidly growing platform. You’ll have the opportunity to design and implement core components of our distributed query engine. Your work will directly improve the performance, memory efficiency, and reliability of our systems. In addition, you’ll play a key role in improving our distributed control plane, which manages infrastructure and workload routing across the system. You'll participate in on-call rotations, leading incident response and postmortem analysis. Collaboration is central to this role—you’ll partner closely with other MongoDB teams, including those working on drivers, the core server, and cloud services, to ensure seamless integration and a cohesive developer experience.
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. 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: 325298873
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.
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At MongoDB, we believe in empowering innovators and unleashing the power of software and data to transform industries. We're currently on the lookout for a talented Senior Software Engineer for our Atlas Data Federation team in the vibrant city of New York. In this role, you'll be diving deep into the heart of our distributed query engine, crafting and implementing core components that will significantly enhance the performance and reliability of our systems. The Atlas Data Federation gives developers a seamless way to query and analyze data from varied sources without the hassle of moving it around. You'll be critical in optimizing these processes and collaborating with several teams to ensure everything integrates smoothly. With a foundation that includes high visibility projects and ownership over high-volume infrastructures, your work will make a tangible difference. We're seeking someone with 3+ years of experience in database internals or data processing systems, proficient in languages such as Go, Java, C++, or Rust, who’s ready to lead initiatives and mentor fellow engineers. At MongoDB, we foster a collaborative and inclusive culture that supports personal and professional growth, ensuring every team member can thrive while making an impact on the world. Join us and be part of a revolutionary journey in technology today!
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MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
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