Senior Software Engineer, Developer Productivity

Engineers at Mongo

DB collaborate in delivering a one-of-a-kind, cloud scale, performant, and popular developer data platform. The Correctness Team at Mongo

DB is a part of a collective Developer Productivity group that helps developers innovate and iterate with speed and confidence. Specifically, the Correctness Team designs, implements, integrates, and maintains the testing infrastructure tooling, frameworks, and strategies that help Mongo

DB’s engineers ensure their products deploy with the highest measures of correctness and quality.

We’re looking for an individual who has a deep empathy for engineering teams, cares strongly about quality code and products, and effectively scaling development. Specifically if you are passionate about distributed systems testing, elegant and robust software design, and improving the developer feedback loop with speed ease - this role is for you!

This role can be based out of our Toronto office or remotely in the Ontario region.

• 5+ years hands-on experience with Python (or related language) programming experience in industry
• Experience in developer productivity or related infrastructural-focused role
• Strong experience and knowledge of testing techniques focused on distributed systems
• A demonstrated expertise of solid UX-focused design of CLIs for scalability and maintainability
• A track record for mentoring team members
• A proven ability to set and execute the vision for projects that have hit scaling limits
• An appetite for continuous learning and improvement
• A deep empathy and eagerness to understand and solve customer problems
• A proven track record of ownership and drive from idea generation through idea execution
• Experience working with remote teams

• Software ecosystems that contain and routinely run a large number of tests, from unit-level through end-to-end
• Database (or other large system) integration testing frameworks
• Test fuzzing
• TLA+ and its applications
• C++, Java, and/or Go
• Sanitizers and other static analysis tooling
• Kubernetes testing
• Software Architecture and Design Principles

• Take ownership of large areas of testing infrastructure
• Design and develop critical features to evolve our test frameworks and tools
• Produce and execute on strategies that reduce technical debt through iterative and strategic quality of life improvements
• Meaningfully contribute to cohesive strategies to enable the development organization to build with confidence using the right tool for the job
• Mentor and grow other developers
• Show deep empathy towards other developers to understand their pain points and provide impactful solutions
• Onboard quickly and successfully into unfamiliar tools and systems
• Collaborate productively with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery)

• Within 1 month, you will have completed several small engineering tasks. You will also have a very high-level understanding of the developer experience for the Server and Cloud teams at MongoDB
• Within 3 months, you will have core contributions to at least one feature. You will have a good understanding of the team's mission and goals
• In 6 months you will be proposing improvements for developer experience. You will be taking responsibility for upcoming projects
• In 12 months, you will be mentoring other developers. You will be designing and leading projects

Mongo

DB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. Mongo

DB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Mongo

DB’s cloud-native platform, Mongo

DB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying…