Senior Software Engineer, Replication

MongoDB Inc.

Boston (MA)

Hybrid

USD 101,000 - 273,000

Full time

6 days ago

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Benefits offered by this job

Equity

Stock purchase program

Flexible paid time off

Parental leave (20 weeks)

Fertility and adoption assistance

401(k) plan

Mental health counseling

Transgender-inclusive health insurance

Health benefits

Job summary

MongoDB, Inc. is seeking a Senior Engineer for the Replication Team to design and implement production features in core database code, primarily in C++, to protect data and keep applications available under demanding conditions.

The role involves working with distributed-systems concepts, improving recovery and replication performance, and mentoring engineers within a hybrid office environment near MongoDB offices.

Qualifications

Five+ years of experience programming, debugging, and performance-tuning distributed or highly concurrent software systems.
Strong systems fundamentals: multithreaded programming, concurrency, debugging, performance profiling.
Experience with distributed-systems concepts: replication, data consistency and durability, recovery, fault tolerance, or consensus protocols.
Experience with complex production codebases and diagnosing cross-boundary issues.
Excellent written and verbal technical communication skills.

Responsibilities

Design and implement production features across the replicated data lifecycle.
Improve restore and recovery workflows with focus on recovery time objectives.
Improve replication lag, throughput, and flow control; measure performance and address regressions.
Write production-quality C++ with unit, integration, and system tests.
Use JavaScript and Python to extend test coverage and validate end-to-end behavior.
Collaborate with partner teams and stakeholders on large, cross-functional initiatives.
Investigate issues raised by customers and support; communicate findings and deliver fixes.
Participate in code reviews and design discussions to improve quality.
Interview candidates and mentor junior engineers and interns.

Skills

Distributed systems

Multithreaded programming

C++

Performance tuning

Debugging

Technical communication

Job description

MongoDB’s Replication Team builds the infrastructure that enables high availability, fault tolerance, automatic failover, and tunable consistency. As a Senior Engineer on the team, you will design and implement distributed-systems features that protect data and keep applications available under demanding operating conditions.

You will work primarily in C++ on core database code, partner with engineers across MongoDB, and shape features central to major MongoDB releases. This is an opportunity to apply distributed-systems fundamentals to problems in data consistency, recovery time, replication performance, and operability.

We are looking to speak to candidates who are based near one of our MongoDB office for our hybrid working model.

What you will do

Design and implement production features across the replicated data lifecycle
Improve restore and recovery workflows with attention to recovery time objectives
Improve replication lag, throughput, and flow control; measure performance and prevent or resolve regressions
Write production-quality C++ and the unit, integration, and system tests needed to demonstrate its correctness
Use JavaScript and Python where appropriate to extend test coverage and validate end-to-end behavior
Collaborate with partner engineering teams and stakeholders on large, cross-functional initiatives
Investigate distributed-systems issues raised by customers and Technical Support, communicate findings clearly, and deliver durable fixes
Participate in code reviews, design reviews, and technical discussions that improve the quality of the team’s work
Interview candidates and mentor junior engineers and interns

Required

At least five years of experience programming, debugging, and performance-tuning distributed or highly concurrent software systems
Strong systems fundamentals, including multithreaded programming, concurrency, debugging, and performance profiling
Practical experience with distributed-systems concepts such as replication, data consistency and durability, recovery, fault tolerance, or consensus protocols
Experience working with complex production codebases and diagnosing problems that cross system boundaries
Strong written and verbal technical communication skills
A collaborative approach and the ability to make realistic assessments of project complexity and delivery risk

Preferred

Professional experience developing production software in C++
Familiarity with database internals or core components of data-processing systems
Experience with replication, recovery, data consistency, or Raft/another consensus protocol; direct experience with every area is not expected
Experience writing unit, integration, and end-to-end tests in C++, JavaScript, or Python
Experience responding to customer-impacting production issues in distributed systems
Experience mentoring engineers or interns and contributing to technical hiring

Candidates with additional relevant experience may be considered for more senior roles.

What success looks like

In your first month

Build a working understanding of MongoDB’s replication architecture, development workflow, and testing strategy
Begin resolving scoped bugs and contributing effectively to code reviews

In your first three months

Contribute production C++ code to a project targeted for an upcoming MongoDB release
Diagnose and resolve issues identified by testing, customers, or partner teams

In your first six months

Take regular ownership of code reviews and participate meaningfully in feature design reviews
Independently drive scoped technical work from investigation through implementation and validation

In your first twelve months

Lead the development of a new feature or substantial improvement from design through delivery
Help mentor new engineers and contribute to the team’s technical direction

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.

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.