MongoDB
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at MongoDB. Skills: Performance testing, Benchmarking, Python development, Cloud platforms. Design performance workloads. Design benchmarking workloads”
What You'll Achieve.
Turn questions into plans; Turn questions into systems; Turn questions into outputs; Make work faster; Make work reliable; Make work useful
Industry & Context.
Performance analysis; Identify bottlenecks; Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
5+ years of experience, Software engineering fundamentals, Hands-on experience with performance testing, Experience designing and implementing benchmarking, Coding skills in Python, Hands-on experience with AWS, Azure or GCP, Hands-on experience with PostgreSQL, MySQL, Aurora, Cassandra, Ability to reason about data models, Written and verbal communication skills, Ability to work with ambiguity, Bachelor’s degree in Computer Science or equivalent practical experience
Nice to Have
Experience with MongoDB architecture, Experience with MQL, Experience with MongoDB performance tuning, Experience with CI/CD systems, Experience creating reusable technical documentation
What You'll Do.
Design performance workloads
Design benchmarking workloads
Build internal tooling
Improve internal tooling
Improve test harnesses
Build workload components
Improve workload components
Analyze infrastructure signals
Translate business questions
Translate engineering questions
Define technical plans
Define success criteria
Define execution milestones
Produce technical documents
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Engineering teams; Product teams; Sales teams
Communication Scope
Explain findings; Communicate findings; Technical documentation; Reporting
Process & Methodology
Scoping, Planning, Execution, Prioritization
Full Job Description
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 cul
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