We’re looking for a Software Engineer to join the PM Benchmarking team in Mexico City. This team designs and executes competitive performance testing that benchmarks MongoDB against alternative technologies, while also building the reusable tooling, frameworks, and engineering practices needed to scale that work over time
This role is a strong fit for an engineer who wants meaningful hands-on coding time, enjoys performance analysis, and is motivated by turning ambiguous technical questions into clear plans, repeatable systems, and high-impact outputs. You will work across the full lifecycle of a benchmark initiative: design, code, run, analyze, and communicate findings. You will also help improve the internal tooling and engineering workflows that make this work faster, more reliable, and more useful across MongoDB
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 Partner closely with Engineering, Product, Sales, and other stakeholders to ensure testing work is relevant and actionable Produce clear technical documents, reports, and summaries that connect findings to product decisions and field value Help shape team standards for documentation, onboarding, prioritization, and benchmark execution as the team continues to mature Mentor peers where appropriate and contribute to a collaborative, low-ego engineering culture What we’re looking for 5+ 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 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 wi