Senior Software Engineer, Replicated Storage Services



Software Engineering
New York, NY, USA
Posted on Wednesday, June 12, 2024

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

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.

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

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

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.

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:
$118,000$231,000 USD