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 MongoDB Replication Team builds infrastructure to support fault tolerance, high availability, and tunable consistency. Distributed systems is a core focus of MongoDB, and the projects delivered by the Replication Team are highly visible, typically among the flagship features for each major MongoDB release. 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 out of our NYC headquarters, office hub locations, or remotely in the United States and Canada
Candidate Profile- Minimum 5 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
- 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
- Handle customer escalations
- Collaborate with stakeholders and engineering teams across the company to jointly work on large initiatives
- 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
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: 425212
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.
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The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.
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Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
