About the company
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 AI-native startups and approximately 75% of the Fortune 100, 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.
Responsibilities
- Innovate at the intersection of traditional relational databases and modern flexible-schema databases to design, build, and optimize tools to enhance the SQL experience with MongoDB.
- Collaborate with product managers and customer experience teams to evaluate user needs and build features that provide an intuitive and delightful experience to customers.
- Monitor and improve performance, scalability, and reliability of the SQL interface to ensure smooth experiences for users working with large datasets and complex queries.
- Stay updated on emerging trends in the database and cloud industry, bringing innovative ideas to the team.
- Advocate for technical excellence while helping the team balance trade-offs between feature delivery and system quality.
Requirements
- 5+ years of professional experience in software engineering, with a strong emphasis on backend systems and database technologies.
- Proficiency in at least one compiled language, and interest in working with Rust, Java and Go.
- Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture.
- Interest in the theory and practice of database query engines. Professional experience or M.Sc./Ph.D in the domain is preferred.
- Familiarity with SQL query execution, optimization, and relational database systems.
- Familiarity with MongoDB or other non-relational databases is a plus but not mandatory.
- Proven ability to break down complex problems into manageable pieces and deliver solutions.
- Strong verbal and written communication skills with the ability to collaborate across teams, advocate for technical improvements, and articulate ideas clearly.
- A keen interest in empowering users to interact with and analyze data.
- A drive to deliver tools that enable seamless integration between MongoDB and SQL-based workflows.
Conditions
- This role can be based out of our Austin, New York City, Palo Alto, San Francisco office or remotely in the USA region.
- MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process.
- MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.