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.
About The Team
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.
What You’ll Do
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.
What We Look For
- 3+ years of experience working on database or storage internals, or building core components of data processing systems such as query execution engines, storage layers, workload optimization, or autonomous tuning
- Proficiency in systems programming with languages like Go, Java, C++, or Rust
- Hands-on experience building and operating distributed systems at scale
- Excellent verbal and written technical communication skills and desire to collaborate with colleagues, mentor fellow engineers and lead projects
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience
Success Measures
- In 3 months, you’ll have contributed to a key project and fixed a few impactful bugs
- In 6 months, you’ll be reviewing code and involved in design discussions for new features
- In 12 months, you’ll lead a major initiative and mentor newer engineers on the team
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 is an equal opportunities employer.
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, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
MongoDB’s base salary range for this role in Canada is:
$137,000—$189,000 CAD
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