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.
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.
We are looking to speak to candidates who are based in Mexico for our hybrid working model.What you'll doDesign performance and benchmarking workloads that reflect realistic customer or product scenariosBuild and improve production-quality internal tooling, test harnesses, automation, and reusable workload componentsWrite and maintain code primarily in Python, while adapting to adjacent tools and technologies as neededRun benchmarks across cloud environments and database platforms, with attention to fairness, noise reduction, cost, and repeatabilityAnalyze latency, throughput, scalability, and infrastructure signals to identify bottlenecks and explain results clearlyTranslate broad business or engineering questions into scoped technical plans, success criteria, and execution milestonesPartner closely with Engineering, Product, Sales, and other stakeholders to ensure testing work is relevant and actionableProduce clear technical documents, reports,



and summaries that connect findings to product decisions and field valueHelp shape team standards for documentation, onboarding, prioritization, and benchmark execution as the team continues to matureMentor peers where appropriate and contribute to a collaborative, low-ego engineering cultureWhat we're looking for5+ years of experience building, debugging, and improving distributed and/or highly concurrent software systemsStrong software engineering fundamentals, including writing maintainable code, profiling performance, and debugging complex issuesHands‐on experience with MongoDB architecture, MongoDB Query Language (MQL), and MongoDB performance tuningHands‐on experience with performance testing methodologies such as load, stress, latency, or scalability testingExperience designing and implementing benchmarking or performance-validation workflowsStrong coding skills in Python or a similar language, plus the ability to learn new stacks quicklyStrong 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 scaleStrong hands‐on experience with PostgreSQL, MySQL, Aurora, Cassandra, or other competing data platformsAbility to reason about relational and document data models, distributed systems behavior, and infrastructure bottlenecksStrong written and verbal communication skills, especially when explaining technical findings to different audiencesAbility to work with ambiguity, define structure where needed, and operate with a high degree of ownership and autonomyBachelor's degree in Computer Science or a related field,



or equivalent practical experienceExperience with CI/CD systems and integrating automated tests into engineering workflowsExperience creating reusable technical documentation, runbooks, or internal playbooksSuccess in this roleIn your first 30 days Build a clear understanding of the team's current workloads, tooling, roadmap, and stakeholder landscapeComplete onboarding and identify the main technical systems, docs, and knowledge gaps relevant to your workStart contributing code, review feedback, and execution support on active benchmark effortsIn your first 90 days Independently contribute to the design, coding, execution, and analysis of multiple benchmark initiativesImprove at least one area of the team's tooling, documentation, or execution workflowBuild strong working relationships with key cross‐functional partnersIn your first 6 months Own meaningful benchmark or tooling work from scoping through deliveryImprove repeatability, clarity, or efficiency in how the team designs, runs, or reports on testsContribute to mentorship, documentation, or process improvements that increase team autonomyIn your first 12 months Be a trusted technical contributor across benchmark design, tooling, and analysisInfluence how the team prioritizes and scales its workExpand your scope through technical leadership, cross‐functional collaboration, and deeper ownership of systems and processesMongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process.
To request an accommodation, please inform your recruiter.About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market.
We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software.
MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI.
Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across A#J-*****-Ljbffr

📌 Senior Software Engineer, Competitive Benchmarking (Xico)
🏢 Engg
📍 Xico