Join MongoDB as a Senior Software Engineer to lead the development of advanced search query architecture in a hybrid work environment.
Requirements
- Experience
- 5+ years
Benefits
Joblaze summary
In this role, the Senior Software Engineer will lead the design and development of advanced search query architecture within MongoDB's Atlas Search service. Key skills include expertise in data management and distributed systems, particularly in query processing and optimization, with proficiency in Java and Rust. This position is ideal for experienced engineers looking to influence the direction of complex systems and mentor team members. The Atlas Search team is focused on innovative projects that enhance the user experience in executing complex search queries.
Joblaze insights
- Listed today on Joblaze — tracked directly from MongoDB's career page.
- MongoDB has 453 other open roles including Account Development Representative, Senior Manager, EMEA Payroll, Advisory Solutions Architect.
- 786 active Java roles on Joblaze right now.
- 255 active Rust roles on Joblaze right now.
- Salary band is below the typical range for Backend roles (median ~$166,000).
Quick facts
- Is the Senior Software Engineer, Atlas Search Query role remote?
- It's hybrid — MongoDB expects some on-site time in San Francisco, CA, USA.
- What's the salary range?
- MongoDB lists $126,000–$248,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer, Atlas Search Query role.
- Where is the role based?
- MongoDB is hiring for this position in San Francisco, CA, USA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Java, Rust.
- What seniority level is this role?
- MongoDB targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer, Atlas Search Query role at MongoDB.
From the original posting
Join the Atlas Search Query team to design and develop the next generation of Search query architecture, optimization, and execution.
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 success of complex Search Query feature development.
We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model.
What You’ll Do
- Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search aggregation framework within the MongoDB aggregation framework.
- Set project level strategy, architect features, and lead projects to successful execution
- Identify, design, and implement features enhancing our query language, performance, and operability
- 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
What We Look For
- 5+ years experience in data management/search systems, ideally with a strong query processing and optimization background
- Experienced in the development and maintenance of stateful distributed systems
- Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others
- Experienced in debugging and profiling multithreaded applications written in Java and Rust
- Bonus: experience with designing high-volume query engines, such as a database, search system, or vector search system
Success Measures:
- In 3 months, you'll contribute to the improvement of our core "mongot" repository
- In 6 months, you'll be working on projects 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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 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: 2273449912
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.