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 and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
The Storage Layer Services Team is currently re-architecting the MongoDB Cloud Storage Layer. This is a relatively new team in MongoDB that sits at the heart of the next generation MongoDB Cloud Storage Architecture, and the team is working to build performant multi-tenant distributed storage services both to enhance our existing MongoDB cloud storage architecture and to power more of our customers' use cases more efficiently. We are looking for talented Staff Engineers to join the team and be founding members of the team, where you will play a crucial role in our multi-year roadmap.
Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core storage features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators.
Candidate Profile
- 8+ years of experience in programming, debugging, and performance tuning of distributed and/or highly concurrent software systems
- Strong systems fundamentals, including multi-threaded programming and performance profiling
- Experience with distributed systems
- Proven experience in building, deploying, and operating multi-tenant cloud services with a focus on operational excellence
- Familiarity with database internals or experience building core components for data processing systems
- Hands-on experience in developing performance-sensitive software, with experience using performance analysis tools
- Experience with large backend/compiled codebases, preferably in Rust or C/C++
- B.Sc. in Computer Science or a related field, or equivalent practical experience
- 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
- 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
Position Expectations
- Develop secure multi-tenant cloud-native storage solutions to ensure performance, automatic failover and zero downtime
- Implement and operate (oncall) production-ready applications in Rust
- Diagnose test failures and performance regressions, and implement fixes
- Lead development and project management for large, cross-team initiatives
- Identify, design, implement, test, and support new features related to Storage Layer Services, while contributing to the operational excellence of running a cloud service
- Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
- Advise Management on engineering complexity and inter-project dependencies
- Collaborate with Product Management and Engineering leadership to define product roadmaps
Success Measures
- In the first month: Understand the high-level architecture of MongoDB Cloud Storage Architecture and resolve a few bugs
- In three months: Contribute to the Rust development of a project slated for the initial release of the Storage Layer Services and take on code review responsibilities and participate in reviewing designs for new features
- In six months: Lead the development of a new feature and help mentor new engineers on the team
- In twelve months: Contribute to the Planning, Design and Execution of major improvements that drive forward better Security/Durability/Availability/Performance of MongoDB Storage Layer Services
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: 1263086608
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:
$137,000—$270,000 USD
