Role Description MongoDB is seeking a Software Engineer 3 to join the Documentation Platform Engineering Team. The Documentation Platform delivers 60M page views a year and is critical to our users’ understanding of MongoDB products. It is also increasingly the context engine that helps AI tools understand, surface, and recommend MongoDB correctly. You will contribute to the evolution of our documentation platform by building and improving internal infrastructure, integrations, and applications that support our documentation and learning experience. This role can be based out of one of our offices in Canada or the USA, or remotely in Canada or the USA. Qualifications - Hands-on experience and understanding of Git, TypeScript, React, Next.js, CI/CD, MDX and other markup languages - Experience with MongoDB (or a strong track record of working with other databases) - Has worked on complex, in-production web applications - Deep understanding of TypeScript or JavaScript, preferably TypeScript - Can write, discuss, and review code in a collaborative way - Understands how to make resilient, scalable, and maintainable software - Has 2+ years of professional experience building and maintaining production software systems Requirements - Contribute to the development and enhancement of the MongoDB Documentation Platform - Explore ways to improve documentation accessibility, discoverability, and user engagement - Develop features that enhance the user experience for documentation consumers and contributors - Contribute to and occasionally lead small-to-medium scoped features and platform improvements, collaborating with partner teams as needed - Analyze user behavior and platform performance to identify gaps and improve effectiveness - Identify and implement improvements that make the platform more reliable, maintainable, and easier for engineers and contributors to work in - Work with some of the best and brightest engineers in the industry who thrive on collaboration, technical excellence, and mutual respect Benefits - Commitment to developing a supportive and enriching culture for everyone - Employee affinity groups - Fertility assistance - Generous parental leave policy Company Description 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 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. 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.

• Build platform capability hands-on: design and ship core platform services end to end, from architecture through production and ongoing operation, as self-service capabilities that operating-company engineers adopt with minimal friction. • Steward the platform's architecture and standards, shaping the reference architecture, golden paths, and paved roads, and turning engineering standards into executable guidance through the Architecture Council. • Advance AI-first software delivery by building and evolving the templates, pipelines, and golden paths that raise developer throughput, and help extend the platform into shared services that support new software offerings. • Own reliability, security, and cost for the services you build: define SLIs and SLOs, instrument observability, run incident response, and reduce toil through automation, with security and cost designed in from the start. • Set the technical bar and mentor: raise the level of platform and operating-company engineers through hands-on engineering, code review, and mentorship, and help build a connected engineering community across the portfolio.

• Drive engineering quality and reliability of Dyno’s data platform, ensuring access, security, and data lifecycle integrity. • Translate scientific and clinical questions into production-ready systems, including APIs, pipelines, and user-facing tools. • Support team members through code and architectural review to systemically increase engineering quality. • Move quickly from prototype to production, balancing speed with reliability. • Collaborate cross-functionally, leveraging Dyno’s high-trust, high-impact culture to drive results.

• Define and drive the technical roadmap for platform infrastructure, reliability, and scalability initiatives. • Design and review complex system architectures that support company growth and evolving business needs. • Establish engineering standards, best practices, and technical patterns across multiple teams. • Improve system observability, incident response processes, and operational excellence across the platform. • Partner with Engineering, Product, and Design leaders to align technical investments with business priorities. • Mentor engineers and provide technical guidance that elevates engineering capabilities across the organization. • Build and improve backend services, infrastructure tooling, and shared platform capabilities. • Identify technical debt, scalability risks, and operational vulnerabilities before they become business constraints.