The MongoDB Replication Team builds infrastructure to support fault tolerance, high availability, and tunable consistency. Distributed systems is a core focus of MongoDB, so the projects delivered by the Replication Team are highly visible and are typically among the flagship features for each major MongoDB release, including multi-document transactions. We're currently working on improving our API and interface boundaries so that we can meet the performance and correctness needs of the world's most demanding enterprises while enabling new, more efficient data storage and retrieval patterns.
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 features of a popular database, join us! Let's change what's possible for application developers, system architects, and database operators.
This role can be based remotely in the United States.
Candidate Profile- Minimum 10 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent C/C++ software systems. Candidates with more experience will be considered for more senior roles. Experience in C++ is preferable, but not required
- Strong systems fundamentals, including multi-threaded programming and performance profiling
- Familiarity with distributed systems such as consensus protocols, data replication, distributed transactions, and fault tolerance
- Familiarity with database internals or building core components for data processing systems
- Excellent verbal and written technical communication skills and a desire to collaborate with colleagues and mentor junior engineers and interns
- Excellent time management skills and the ability to make realistic assessments of project complexity
- Passion for learning new things in the domains of computer science and software engineering
Responsibilities- Develop novel data replication solutions based on the Raft consensus protocol for ensuring automatic failover and zero-downtime of user applications
- Handle distributed systems related customer escalations from Technical Support team
- Write production-ready database code in C++
- Write unit tests and integration tests in C++, Javascript, and Python to demonstrate application correctness
- Diagnose test failures, identify bugs in existing code, and fix them
- Investigate the performance impact of code changes that may cause software performance regressions
- Interview candidates for software engineering positions
- Develop and maintain expertise on cutting edge database and distributed systems research from industry and academia
- Handle (or lead the effort to handle) time-sensitive customer escalations
- Lead development and project management of large, cross-team projects
- Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
- Advise Product 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, you will have understood the high level architecture of MongoDB replication and fixed a few bugs
- In three months, you will have contributed to the development in C++ of a project slated for the next major release of MongoDB, and diagnosed and fixed a few customer or testing-reported issues
- In six months, you will have taken on code review responsibilities and are involved in reviewing the design for new features
- In twelve months, you will be leading the development of a new feature and helping to mentor new engineers on the team
About MongoDBMongoDB 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 nearly 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:
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
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