Senior Software Engineer, Search Deployments Infrastructure

About the role

Join the Atlas Search team to design and develop the next generation of Semantic and Vector Search infrastructure. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search.

Location: USA

Engagement: Hybrid working model (San Francisco Bay Area based)

What you'll do

Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud. Set project level strategy, architect features, and lead projects to successful execution. Identify, design, and implement features enhancing our reliability, performance, security and efficiency. Perform code reviews with peers and make recommendations on how to improve our software development processes. Influence and grow team members through active mentoring and leading by example.

Shape the technological direction of a complex search system and drive initiatives through collaboration with cross functional stakeholders. Design and implement features that enable scalable data ingestion, optimized query execution, and robust performance for both semantic and vector search workloads. Contribute to the reliability and efficiency of our cloud based infrastructure, ensuring search deployments operate effectively at scale. Leverage expertise in concurrent, stateful services to build resilient search infrastructure that meets evolving product requirements. Work closely with product and engineering teams to translate search requirements into technical solutions that enhance the Atlas Search user experience.

Requirements

5+ years experience in data management/search systems, ideally with a strong distributed systems and infrastructure background. Experienced in the development and maintenance of concurrent, stateful services that operate reliably in production environments. Eager to shape the technological direction of a complex system and demonstrate the ability to lead initiatives through collaboration with others. Experienced in writing features, debugging and optimizing multithreaded applications written in Java. Familiarity with LLM based development tools in all aspects of the software development lifecycle from experimentation to production deployment. Ability to work within the San Francisco Bay Area based hybrid working model as required by the role. Commitment to contributing to success measures such as improvements in the management control plane within 3 months, working on projects like autoscaling deployments and metrics based performance analysis within 6 months, and building POCs, designing new features, and collaborating with other teams across the company on complex projects within 12 months of success.

Success measures

In 3 months, you'll contribute to the improvements in our management control plane. In 6 months, you'll be working on projects such as autoscaling deployments and metrics based performance analysis. In 12 months, you'll be building POCs, designing new features, and collaborating with other teams from across the company on complex projects.

Nice to have

Bonus: experience with public cloud infrastructure, including aspects of hardware, capacity planning, and high availability for search workloads.

Practical notes

This role is based in the source information and requires no invented details. It specifies a technical role focused on infrastructure and features for an at-scale cloud service powering vector and semantic search. The role emphasizes leadership across the MongoDB ecosystem, including project leadership, architecture, and cross-team collaboration. It calls for hands-on expertise in Java-based multithreaded services, distributed systems, and LLM-related toolchains, with explicit success timelines at 3, 6, and 12 months. Eligibility is limited to candidates based in the San Francisco Bay Area due to the hybrid working model.