The opportunity
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 unlock AI.
What you'll do
Design performance and benchmarking workloads that reflect realistic customer or product scenarios
Build and improve production-quality internal tooling, test harnesses,: automation, and reusable workload components
Write and maintain code primarily in Python, while adapting to adjacent tools and technologies as needed
Run benchmarks across cloud environments and database platforms, with: attention to fairness, noise reduction, cost, and repeatability
Analyze latency, throughput, scalability, and infrastructure signals to: identify bottlenecks and explain results clearly
Translate broad business or engineering questions into scoped technical: plans, success criteria, and execution milestones
What they're looking for
- + years of experience building, debugging, and improving distributed and/or highly concurrent software systems
- Strong software engineering fundamentals, including writing maintainable: code, profiling performance, and debugging complex issues
- Hands-on experience with MongoDB architecture, MongoDB Query Language (MQL), and MongoDB performance tuning
- Hands-on experience with performance testing methodologies such as load,: stress, latency, or scalability testing
- Experience designing and implementing benchmarking or performance-validation workflows
- Strong coding skills in Python or a similar language, plus the ability to learn new stacks quickly
- Strong hands-on experience with at least one of the three major cloud: providers used for this role, AWS, Azure or GCP, including the practical trade-offs involved in running reliable applications at scale
- Strong hands-on experience with PostgreSQL, MySQL, Aurora, Cassandra, or other competing data platforms