We are seeking a Staff Engineer to join our growing team to provide technical direction and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.
As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition.
This role can be based anywhere in Canada in the Eastern Time zone.
Position Expectations- Work closely with product management, product engineering, product design peers as well as other teams within the company to define the first version and future evolution of the service
- Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
- Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow
- Mentor fellow engineers and assume ownership and accountability of projects
- Strong background in building core components for high scale compute and data distributed systems
- 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
- Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
- Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
- Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery.
- Good verbal and written technical communication skills, desire to collaborate with colleagues
- Bonus points for experience with containerization and orchestration platforms (e.g. Kubernetes) and AI frameworks and tools
- Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
- Eager to learn, with a strong technical background
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: 3273537522
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
MongoDB Palo Alto, California, USA Office
499 Hamilton Avenue, Palo Alto, CA, United States, CA 94301
MongoDB San Francisco, California, USA Office
88 Kearny Street, San Francisco, CA, United States, 94108
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