Senior Software Engineer, Storage Layer Services

The Storage Layer Services (SLS) team owns the multi-tenant storage layer that powers Atlas Infinite — the largest architectural change to MongoDB Atlas Database since its launch ten years ago. By separating storage from compute, alongside other innovations, this architecture will provide better elasticity, scalability, and performance for our most demanding workloads. We are looking for a talented Senior Software Engineer to join our team as we execute on a multi-year roadmap and rapidly scale our Rust services to handle petabytes of data while improving security, durability, availability, and performance. Come do some of the most interesting work of your career as we Think Big and Go Far for our customers! While you will have opportunities to learn and work across all parts of this complex distributed system, this role is specifically focused on the services that interact with the Atlas Control Plane and manage tenants to keep the system running predictably and safely through load spikes and failures. What you’ll do Design, build, and operate control plane services powering an elastic and multi-tenant storage layer for thousands of database instances Solve problems around maintaining high availability and performance during load spikes, hardware failures, cloud provider outages, and other disruptions Contribute to a culture of operational excellence through dashboards, playbooks, and on-call improvements Lead complex technical projects from planning through successful deployment with clear stakeholder updates Partner closely with peers across database, cloud, and infrastructure engineering teams as well as project management to investigate incidents and develop long-term roadmaps Mentor junior engineers and foster a collaborative team environment We’re looking for someone with 5+ years of professional software development experience building, deploying, and operating multi-tenant cloud services with a focus on operational excellence Experience with large backend/compiled codebases, such as Rust or C/C++ Experience with containerization and orchestration platforms (e.g. Kubernetes) Experience with observability tooling (e.g. time series metrics, dashboards) Experience with distributed systems Familiarity with database internals or experience building core components for data processing systems Excellent verbal and written technical communication skills, with a strong desire to collaborate with colleagues Strong time management skills and the ability to realistically assess project complexity Demonstrated track record of going above and beyond for customers Strong candidates may also have Experience writing and profiling highly performant Rust code Experience improving reliability through chaos engineering and load testing Experience building scalable cloud services on multiple cloud provider platforms (AWS, Azure, GCP) Interest in the theory and practice of high-availability systems (hands-on experience or an M.Sc./Ph.D. in the domain is a plus) Success Measures In 3 months, you'll have shipped code into production and collaborated with the team to solve tough problems In 6 months, you'll have contributed to a large project In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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: 2273451807 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: $101,000 — $273,000 USD