Full Stack Engineer
Full Stack Engineer
London, 4x days per week in-office
Vega is looking for a Full Stack Developer to build features end to end across our platform from Java/Spring Boot services and APIs to React and TypeScript interfaces – using AI tools as a core part of how they work and helping bring AI-powered capabilities into the product.
We do not seek consensus. You will be expected to voice opinions and take initiative. Vega's best people do not wait to be told what to do before finding solutions to problems they have spotted.
We believe bureaucracy is the killer of progress. We are focused on creating the minimum viable process to operate with quality at speed.
We prioritise talent over tenure. There is no promise of progression without performance – we assess and reward people on impact above all else.
We iterate fast. We make decisions amid ambiguity and with imperfect information, and we strive to balance committing to a hypothesis with iterating at low ego.
We play to win. Expectations, intensity and ambition are very high, with every single colleague contributing to Vega's success. This often will not be a 9-5.
We know that this culture won't be for everyone, and we endeavour to make this clear from the beginning of the recruiting process out of respect for your time. Ask yourself whether the above sounds exciting to you in practice every day, and if it does, we would love to hear from you.
Who succeeds in this role We look for people who match our ambition levels, and then raise it further. In this role, you will: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
Share knowledge and support other engineers, contributing to a culture of excellence and continuous learning
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
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