Senior Software Engineer, Atlas Search San Francisco (San Francisco)

MongoDBs mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database, available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhereon premises or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota trust MongoDB to build next-generation, AI-powered applications.

Atlas Search is a growing cloud service that enables users to execute complex search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval without worrying about the underlying machinery needed to search data at scale.

Our team is developing cloud-based distributed systems software responsible for core search components: data ingestion, performance, query language and execution, and aggregation. Our product is rapidly adopted, offering many interesting projects to work on!

We are seeking candidates based in San Francisco for our hybrid working model.

Ideally, you will be:

• Proficient in modern programming languages and techniques
• Eager to impact and envision the technological future of complex systems
• Experienced in developing distributed systems, cloud services, and SaaS products
• Experience in designing and maintaining search platforms or distributed databases is preferred but not required
• Experience in debugging and profiling multithreaded JVM applications is preferred but not required

You will get to:

• Build and design our integrated search platform, written in Java
• Contribute to two leading open source platforms, MongoDB and Lucene
• Participate in product and design discussions
• Perform code reviews with peers and recommend improvements to our code and development processes
• Collaborate with teams including cloud services, database, enterprise tools, drivers, and support to coordinate changes or contribute to projects

Success measures:

• Within 3 months, contribute to improving our core mongoT repository
• Within 6 months, work on features such as query enhancements or platform improvements
• Within 12 months, build POCs, design new features, and collaborate on complex projects across teams

We are committed to fostering a supportive and enriching culture that promotes personal growth and business impact. From employee affinity groups to fertility assistance and generous parental leave, we value our employees wellbeing and support them throughout their professional and personal journeys. Learn more about working at MongoDB and how you can make an impact!

MongoDB is dedicated to providing accommodations for individuals with disabilities during our application and interview process. To request an accommodation, please inform your recruiter.

MongoDB, Inc. is an equal employment opportunity employer, prohibiting discrimination and harassment of any kind, and making hiring decisions without regard to race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other protected characteristic.

Our U.S. base salary range for this role is: