Full Stack Engineer
Key Skills for This Role
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What we look for:
- Proven professional software engineering experience, with substantial hands-on work across both front end and back end, ideally on fintech applications
- Fluency with AI coding tools (e.g. Claude Code, Codex, Cursor) as part of your everyday workflow, with sound judgement on reviewing, testing and owning AI-generated code
- Practical exposure to building with LLMs – e.g. calling model APIs, integrating an agent or tool-use flow, or shipping a feature on a platform such as AWS Bedrock – and an appetite to go deeper
- Strong backend experience with Java and Spring Boot, including designing and building microservice architectures with RESTful APIs, and proficiency with SQL and ORMs
- Proficiency in TypeScript, React and Tailwind CSS, with a strong grasp of responsive and mobile-first design
- Experience in modern cloud distributed architecture, particularly AWS, Kubernetes and Kafka
- Solid understanding of unit, integration and end-to-end testing, plus CI/CD pipelines and automated testing frameworks
- Experience working in an agile environment with cross-functional teams (product, design, engineering)
- A proactive problem solver who takes initiative and brings high ambition to a fast-moving team
- Excellent analytical and problem-solving skills, with a focus on scalable solutions
- Strong communication skills, including explaining complex technical concepts to non-technical stakeholders
- Bachelor's degree in Computer Science, Engineering or a related field, or equivalent experience
- Why join us?
- You will help define the transformation of one of the most influential industries of our time with AI, working alongside an ambitious and dedicated team
- Competitive salary and equity package
- Benefits including medical insurance, gym membership, learning budget, and more
About Vega
AI-native operating system for alternative asset managers, automating end-to-end investor lifecycle and client operations.
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