Senior Software Engineer, Competitive Benchmarking

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

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 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

Ability to reason about relational and document data models, distributed systems behavior, and infrastructure bottlenecks

Strong written and verbal communication skills, especially when explaining technical findings to different audiences

Ability to work with ambiguity, define structure where needed, and operate with a high degree of ownership and autonomy

Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

Experience with CI/CD systems and integrating automated tests into engineering workflows

Experience creating reusable technical documentation, runbooks, or internal playbooks

In your first 30 days

Build a clear understanding of the team’s current workloads, tooling, roadmap, and stakeholder landscape

Complete onboarding and identify the main technical systems, docs, and knowledge gaps relevant to your work

Start contributing code, review feedback, and execution support on active benchmark efforts

In your first 90 days

Independently contribute to the design, coding, execution, and analysis of multiple benchmark initiatives

Improve at least one area of the team’s tooling, documentation, or execution workflow

Build strong working relationships with key cross-functional partners

In your first 6 months

Own meaningful benchmark or tooling work from scoping through delivery

Improve repeatability, clarity, or efficiency in how the team designs, runs, or reports on tests

Contribute to mentorship, documentation, or process improvements that increase team autonomy

In your first 12 months

Be a trusted technical contributor across benchmark design, tooling, and analysis

Influence how the team prioritizes and scales its work

Expand your scope through technical leadership, cross-functional collaboration, and deeper ownership of systems and processes

MongoDB 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.

MongoDB 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 AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req. ID: 3273538787