Senior Software Engineer, Replication

MongoDB•Boston, MA

2h•$101,000 - $273,000•Hybrid

About The Position

MongoDB’s Replication Team builds infrastructure for high availability, fault tolerance, automatic failover, and tunable consistency. The Senior Software Engineer designs and implements distributed-systems features that protect data and keep applications available under demanding operating conditions. The role works primarily in C++ on core database code, collaborates with engineers across MongoDB, and contributes to features for major MongoDB releases, addressing data consistency, recovery time, replication performance, and operability. The position is based near a MongoDB office and follows a hybrid working model. Success includes learning MongoDB’s replication architecture and workflows, contributing production C++ code and resolving issues, taking ownership of design and code reviews, independently driving scoped technical work, and eventually leading feature development and mentoring engineers.

Requirements

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.

Nice To Haves

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.

Responsibilities

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 unit, integration, and system tests to demonstrate 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 to improve the team’s work.
Interview candidates and mentor junior engineers and interns.
Independently drive scoped technical work from investigation through implementation and validation.
Lead development of a new feature or substantial improvement from design through delivery, and help shape the team’s technical direction.