Senior Software Engineer, Workload Scheduling

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 Workload Scheduling team is focused on optimizing the operational resiliency of a MongoDB cluster. We build out the core server workload management infrastructure so that MongoDB can properly queue, load shed, and make decisions to stabilize performance during situations where system resources are beginning to become constrained. We are working to move workload management policies out of the core server into its own process for better modularity, and building out the infrastructure to observe, measure, and tune workload mechanisms and policies to improve MongoDB’s performance and stability while under load.

We are a new and small team looking for an experienced engineer to join us. We are looking for someone who is excited about building something from the ground up, and a role with lots of opportunities to make a large impact on the operational resiliency story at MongoDB.

Candidate Profile

• Minimum 5 years of experience in programming, debugging, and performance tuning distributed and/or highly concurrent low-level software systems. Experience in C++ is preferable, but not required
• Strong systems fundamentals, including multi-threaded programming and performance profiling
• Excellent verbal and written technical communication skills and a desire to collaborate with colleagues and mentor junior engineers and interns.
• Passion for learning new things in the domains of software engineering, distributed systems, and performance.
• Familiarity with distributed system concepts such as fault tolerance, consistency, and availability
• Experience with writing software to observe and mitigate overload scenarios for highly performant and concurrent systems

Position Expectations

• Write production-ready database code in C++, Rust, or possibly another low-level language
• Write unit tests and integration tests in C++, Javascript, and Python to demonstrate application correctness
• Investigate the performance characteristics of the server and write performance regression tests
• Build and optimize workload management primitives such as operation queueing/ticketing mechanisms
• Implement and continuously improve server workload policies to schedule, prioritize, and make decisions about incoming and in-progress operations to maximize goodput while under system load
• Build a process external to the core server that monitors and tunes policies of a MongoDB server.
• Improve the workload and system observability/diagnostics of the core server.
• Diagnose performance and correctness test failures, identify bugs and/or deficiencies in existing code, and fix them
• 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 and fixed a few bugs
• In three months, you will have contributed to the development 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