Senior Software Engineer, App Modernization
Senior engineer on MongoDB's Application Modernisation Platform team in Sydney, building code-analysis tools (dependency graphs, schema recommendation engines) that help customers modernise from relational databases to MongoDB. Day to day: scalable Python/Java backend services, some React/TypeScript frontend work, and growing AI/LLM-powered features.
- Compensation
- Not disclosed
- Location
- Sydney
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years commercial software development experience (Senior) with strong proficiency in Python and/or Java
- Experience designing and building scalable, high-performance APIs and backend services
- Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query optimisation
- Good understanding of algorithms, data structures, and their time and space complexity
- Experience with frontend development using React and TypeScript, or demonstrated willingness/ability to work across the full stack
- Degree in Computer Science or similar field, or equivalent practical experience
- Curiosity, positive attitude, and drive to continue learning
- Excellent verbal and written communication skills
Nice to have
- Experience building AI-powered features, including LLMs and agentic workflows
- Experience with code analysis, static analysis tooling, or tools that traverse/interpret code structures programmatically
- Familiarity with MongoDB
- Experience with cloud-native distributed systems (e.g., Kubernetes)
- Contributions to open-source projects
Full description
About the Job
MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB.
We are looking for a Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys.
We are looking to speak to candidates who are based in Sydney for our hybrid working model.
The Ideal Candidate Will Have
- 3-5+ years (Mid-Level) or 5+ years (Senior) of commercial software development experience with strong proficiency in Python and/or Java
- Experience(or extensive experience for senior candidates) designing and building scalable, high-performance APIs and backend services
- Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query optimisation
- Good understanding of algorithms, data structures, and their time and space complexity
- Experience with frontend development using React and TypeScript, or a demonstrated willingness and ability to work across the full stack
- Degree in Computer Science or a similar field, or equivalent practical experience
- Curiosity, a positive attitude, and a drive to continue learning
- Excellent verbal and written communication skills
Nice to Have
- Experience building AI-powered features, including working with Large Language Models (LLMs) and agentic workflows