MongoDB's Atlas Search team is building cloud-based distributed systems software responsible for the lifecycle of search indexes, including data ingestion, index building, partitioning, performance, availability, and backup management. The team is making core architectural improvements to enhance the scalability of Atlas Search to handle large workloads and ensure a seamless user experience.
Requirements
- 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase
- Experience developing distributed systems and multithreaded applications
- Experience with at least one modern statically typed programming language, and interest in working with Java
Responsibilities
- Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads
- Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers
- Have the opportunity to lead projects and own subsystems
- Provide input on the team's roadmap and help determine the architecture of our system
- Contributed to the development of an existing project and completed several small improvements or bug fixes
- Reviewing code and project designs
- Led a small project
Other
- This role is based in San Francisco, CA with an in-office or hybrid work model.
- Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues
- A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback
- A strong sense of ownership over their work, from initial design all the way through maintaining code in production
- In 3 months you'll have a solid high-level understanding of what our team does and how we operate.
