Vega - Full Stack Engineer
Responsibilities
• We look for people who match our ambition levels, and then raise it further. • Own problems from scoping through shipping and iteration, working directly with business and engineering teams to turn ideas into production features across the full stack • Use agentic coding tools such as Claude Code, Codex and Cursor as a core part of how you design, build, test and review software – and help shape how the team gets the most from them • Work with our AI engineers to integrate AI features into the platform – wiring agents, LLM-powered workflows and MCP integrations into services and user interfaces, including streaming responses and sensible guardrails • Build and maintain microservices using Java 21 and Spring Boot, contributing to an open architecture that integrates the many players in the private markets ecosystem • Define, develop and optimise RESTful APIs, owning the contract between front end and back end with scalability and performance in mind • Work closely with designers to turn mockups into responsive, intuitive interfaces using React, TypeScript and Tailwind CSS, and contribute to the evolution of our design system and theming • Ensure seamless integration with third-party systems used by PE firms, distributors, private banks and fund administrators • Identify and fix bottlenecks across the stack – from data flow and service efficiency to front-end rendering and UX • Champion unit, integration and end-to-end testing, and DevOps best practices • 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
Benefits
• 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 • Benefits including medical insurance, gym membership, learning budget, and more
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