Senior Software Engineer, Code Generation

MongoDB’s 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 and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

MongoDB is seeking a Senior Software Engineer with advanced software engineering skills and experience in code modernization & building tools that can traverse code structures programmatically. Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support.

We are seeking candidates located in North America for in-office, remote, or hybrid work options.

Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating costs, and inability to run on the cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernization programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency, and developer experience in the cloud and on-premises. Organizations continuously migrate workloads from these legacy applications to new platforms, often based on microservices, using MongoDB.

Such transformations are very time-intensive and often risky. MongoDB is bolstering its team by 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 Application Modernization team, already instrumental in this area, aids developers in making the shift from relational databases to MongoDB via Relational Migrator. Now, they're broadening their toolkit and are keen on modernizing code using a mix of AI and traditional text processing.

Our ideal candidate will have

• 5+ years of experience in Java in building large-scale enterprise applications
• Proficiency in Javascript and familiarity with common database access patterns and frameworks in one or more languages
• Knowledge of enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Experience developing enterprise applications using relational databases and employing SQL and stored procedures with Oracle, MS SQL Server, Sybase and/or PostgreSQL databases
• Experience in using and developing with MongoDB and JSON-based Document models is highly desirable
• Experience with tools and methodologies for code analysis, refactoring, and automated testing
• Problem-solving skills, including collaborating across disciplines and teams to devise creative solutions to technical and business challenges
• Willingness to dive into a complex domain, ask the right questions, and bring new software tools and technologies to solve customer problems
• Excellent communication skills (both spoken and written), within the team and in customer meetings
• A good understanding of Generative AI concepts, tools, and services is a big plus, as is any experience building new applications/tools using Generative AI
• A strong interest in how AI-supported toolchains can improve application development

Position Expectations

• Execute a comprehensive code modernisation strategy that aligns transitioned code with cutting-edge practices
• Design and optimise sophisticated code parsers to transform legacy code structures using techniques such as AST, into standardised formats
• 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 and convert 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 evangelizing appropriate tech and engineering best practices
• Define and improve business & product metrics to optimize the quality and cost of AI usage

Success Measures

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 code generation feature in the product
• Contributed to and helped deliver a few product releases
• 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

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.

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