Staff Software Engineer, Code Modernization

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 and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use 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 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 Staff Software Engineer with advanced software engineering skills and experience in code analysis & 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.

The ideal candidate for this role will have

• 8+ years of professional software development experience, with a demonstrated ability to take on more profound technical challenges and provide thought leadership in the domain
• Extensive experience in Java or another primary programming language, with a deep understanding of the language's intricacies and best practices
• Knowledge of software engineering principles, system design, data engineering, and cloud architecture
• Previous experience in comprehensive code modernisation strategy that aligns transitioned code with cutting-edge practices
• Hands-on experience with sophisticated text processing engines like ANTLR and understanding its underlying principles
• Hands-on experience in AST and control flow graph to analyse and traverse code structures programmatically
• Comprehensive knowledge of compiler design, code parsing, or related disciplines
• Familiarity with core concepts such as 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

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
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Collaborate closely with product managers and other engineers to understand business priorities and propose new solutions
• Stay at the forefront of technological advancements, incorporating relevant trends into the code modernisation roadmap
• 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
• Evaluate and refine metrics to optimise usage for both quality and cost-effectiveness
• Serve as a mentor, guiding engineers through technical challenges and fostering their professional growth

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 analysis 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

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 is an equal opportunities employer.

Req ID: 425550