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MongoDB

Senior Software Engineer, Atlas Search Query

Reposted 9 Days Ago
Easy Apply
Hybrid
San Francisco, CA
118K-231K Annually
Senior level
Easy Apply
Hybrid
San Francisco, CA
118K-231K Annually
Senior level
As a Senior Software Engineer, you will design and build the integrated search platform in Java, collaborate on projects, and improve core repositories while contributing to open source initiatives.
The summary above was generated by AI

Atlas Search is a growing cloud service that allows users to execute complex 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 a cloud-based distributed systems software responsible for the core components of search including: data ingestion, performance, query language and execution, and aggregation. Our product is being adopted quickly and there are many interesting projects you can help with!

We are looking to speak to candidates who are 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 a complex system
  • Experienced in developing distributed systems, cloud services and SaaS products
  • Experienced in designing and maintaining search platforms or distributed databases is preferred but not required
  • Experienced in debugging and profiling multithreaded JVM applications is preferred but not required
You would 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 make recommendations on how to improve our code and software development processes
  • Collaborate with other teams including cloud services, database, enterprise tools, drivers and support to coordinate changes or contribute to their projects
Success Measures:
  • In 3 months, you'll contribute to the improvement of our core "mongoT" repository
  • In 6 months, you'll be working on features such as query features or platform improvements
  • In 12 months, you'll be building POCs, designing new features, and collaborating with other teams from across the company on complex projects
About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 3263251461

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:
$118,000$231,000 USD

Top Skills

Java
Lucene
MongoDB

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