Top Engineering Jobs in Austin, TX

Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.

Leads and manages an 8–10-person storage engineering team responsible for MongoDB’s transactional read/write path, durability, availability, performance, indexing, and storage architecture. Owns the roadmap, customer escalations, cross-team initiatives, engineering quality, hiring, coaching, and execution. Partners with Replication, Query, Sharding, Atlas, and other teams on distributed systems and workload-management improvements.

Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

The Salesforce Engineer III will design, build, and support scalable Salesforce solutions, ensuring compliance with FedRAMP and other regulations, and participate in cross-functional collaboration for technical delivery and engineering best practices.

Build and maintain developer-facing tools and APIs for MongoDB Atlas and Compass. Work full-stack on customer-facing UIs and backend services, design scalable, highly available web applications, collaborate cross-functionally, troubleshoot distributed systems, and improve performance and developer experience.

Design, build, and operate multi-tenant elastic storage control-plane services. Ensure high availability and performance, run observability and on-call practices, lead complex projects, collaborate cross-functionally, mentor junior engineers, and contribute to scaling services handling petabytes of data.