MongoDB is bolstering its hiring, focusing on creating tools that guide customers in transitioning their applications from relational databases to MongoDB. As businesses evolve their application development frameworks, they're increasingly drawn to the versatility of the document model. The Relational Migrator team, already instrumental in this area, aids developers in making the shift from relational databases to MongoDB. Now, they're broadening their toolkit and are keen on refining code using a mix of AI and traditional text processing.
MongoDB is seeking a Software Engineer with solid software engineering skills and a machine learning background. Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support.
This role will be based out of North America in the PST and MST zones only.
The ideal candidate for this role will have- 2+ years of professional software development experience in Java or another programming language
- Experience with generative AI and specifically LLMs is highly desirable
- Experience with text processing engines such as ANTLR is highly desirable
- Strong understanding of software engineering, system design, data engineering and/or cloud architecture
- Have experience with compiler design, code parsing or related areas
- Familiarity with concepts like abstract syntax trees (AST), lexical analysis, and syntax analysis
- Curiosity, a positive attitude, and a drive to continue learning
- Actively engages in emerging trends and research relevant to product features
- Excellent verbal and written communication skills
- Collaborate with stakeholders to define and implement a code modernisation strategy, ensuring that transformed code aligns with modern software practices while preserving original functionality
- Develop and maintain a robust code parser to accurately interpret legacy code structures, converting them into a standardised format like an abstract syntax tree (AST)
- Provide thought leadership to the engineering team on using emerging technologies, frameworks and approaches to solve different problems
- Collaborate closely with product managers and other engineers to understand business priorities and propose new solutions
- Contribute and maintain the high quality of the codebase with tests that provide a high level of functional coverage and non-functional aspects with load testing, unit testing, integration testing, etc
- Share your knowledge by giving brown bags, tech talks, and evangelising appropriate tech and engineering best practices
- Define and improve business & product metrics to optimise the quality and cost of AI usage
Within the first three months, you will have:
- Familiarise yourself with the MongoDB database and aggregation language
- Familiarise yourself with the problem space and the domain
- Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
- Started collaborating with your peers and contributed to code reviews
Within six months, you will have:
- Worked on and delivered a large-scale AI-based feature in the product
- Contributed to and helped deliver a few releases of the product
- Reviewed and contributed to scope and technical design documents
Within 12 months, you will have:
- Delivered large-scale features across our entire tech stack
- Helped recruit and interview new members of the team
- Collaborated with other teams at 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: 425547
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.
Skills Required
- 2-3 years of commercial software development experience
- Experience with relational data modeling and at least one SQL database
- Basic familiarity with streaming systems such as Apache Kafka
- Basic familiarity with client-side technologies such as React
- Good understanding of algorithms and data structures
What the Team is Saying
MongoDB Compensation & Benefits Highlights
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Parental & Family Support — Paid parental leave up to 20 weeks, backup childcare days, and global fertility/adoption support are emphasized as generous and inclusive. Family-forming programs through dedicated partners and structured return-to-work flexibility further strengthen this pillar.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with extras like free primary-care memberships, mental-health resources, and care navigation. Added coverage for gender affirmation and menopause/low-testosterone needs underscores depth in clinical and holistic support.
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Wellbeing & Lifestyle Benefits — Wellbeing programs, meditation and mindfulness tools, and fitness partnerships are highlighted alongside in-office lunches on hub days. These everyday perks complement core coverage and support sustained work-life balance.
MongoDB Insights
What We Do
The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.
Why Work With Us
We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.
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MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
