Software Engineer 3, Search Systems Replication & Routing

MongoDB•San Francisco, CA

21d•Hybrid

About The Position

Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. This role is based in San Francisco, CA with an in-office or hybrid work model.

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
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

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