Senior Staff Engineer, MongoDB Developer Productivity

MongoDB•Seattle, WA

About The Position

The Developer Productivity team supports the software development ecosystem used by hundreds of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely. As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices and data-informed decision making, this is the role for you. Candidate Profile Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript Strong understanding of DevOps culture and tooling Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka Proven track record of driving technical execution and vision for organizations with 50+ team members Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams Responsibilities Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization Design software development systems to ensure best practices and champion industry standards Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth Bonus points if the candidate has experience with: Strong systems fundamentals, including testing and monitoring multi-threaded systems Performance profiling of complex systems Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment Experience supporting the development of database internals or core components for data processing systems Success Measures In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap About MongoDB MongoDB 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. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 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. 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 1273376291

Requirements

Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
Strong understanding of DevOps culture and tooling
Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
Proven track record of driving technical execution and vision for organizations with 50+ team members
Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams

Nice To Haves

Strong systems fundamentals, including testing and monitoring multi-threaded systems
Performance profiling of complex systems
Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
Experience supporting the development of database internals or core components for data processing systems

Responsibilities

Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
Design software development systems to ensure best practices and champion industry standards
Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth