Backend Engineer (Mid-level)

Location: London

Office attendance: 4 days per week in-office (Paddington)

Vega is an early-stage startup. There's no playbook, limited structure, and the expectations are high. You'll own what you build, move fast with limited hand-holding, and be expected to go beyond the job description when it matters.

This is not a 9 to 5. The problems are genuinely hard and the bar is high. But the people who thrive here leave a real mark on the product, the company, and an industry that's long overdue for change.

If you want structure, clear scope, and a predictable pace, this isn't the right place. If you want to do the best work of your career and actually see it matter, keep reading

About the company:

Vega is unlocking scale for alternative asset managers. Private markets are shaping into one of the most influential forces in the global economy over the coming decades, with more than $20 trillion in AuM today and expected to already triple by 2032. Today, the industry is at an inflection point as it enters an era of hyper-growth, increased complexity, and brand-new demands. To competitively service and scale their client base across the entire investment lifecycle, managers need a technological transformation. Vega is delivering the industry's purpose-built infrastructure with AltOS - the AI-powered client & distribution operating system for alternatives.

Vega's is leading the private markets industry into the age of agentic AI, setting the market standard and bringing creative, first-principles solutions to a legacy industry long dominated by archaic point solutions.

Vega's founding team consists of alternatives specialists from KKR, Blackstone, Elliott, and Goldman Sachs, along with top product and engineering talent from successful fintech scale-ups like Revolut and Trade Republic. Vega has raised over $28M in funding from Apollo, Motive Ventures, Picus Capital, and 60 senior executives from the alternative investment industry.

To learn more, please visit

Key responsibilities:

• Build AI-powered product capabilities: Design and develop backend systems powering Vega's AI-enabled platform, including LLM-driven workflows, intelligent automation, and agentic systems.

• Develop scalable backend architecture: Build and evolve microservices using Java and Spring Boot to support a highly scalable SaaS platform serving private market firms.

• Create robust APIs and data service: Design and optimise APIs and backend services that power Vega's frontend applications and enable complex data workflows across the platform.

• Integrate across the private markets ecosystem: Work on integrations with third-party systems used by private equity firms, distributors, private banks, and fund administrators.

• Improve platform performance and reliability: Identify bottlenecks, optimise data pipelines, and contribute to a resilient infrastructure capable of supporting large-scale financial data workflows.

• Collaborate to push the product forward: Work closely with engineers and product teams to build high-impact features, contribute ideas, and continuously improve engineering standards.

Required Qualifications:

• 3-4 years of back-end development experience, with strong proficiency in Java and Spring Boot for microservices with event-driven architectures and relational databases

• Solid understanding of modern AI technologies and a passion for integrating AI-driven solutions into scalable systems

• Hands-on experience with AWS (e.g. EC2) and familiarity with containerization tools such as Docker or Kubernetes

• Experience with CI/CD pipelines and automated testing frameworks

• Strong analytical, communication, and collaboration skills, with the ability to work effectively across technical and non-technical teams

• Back-end: Java 21, Spring Boot, REST, Postgres/Jooq/Flyway, Kafka, JUnit/TestContainers/Mockito, AWS (EC2, RDS, Cognito, S3, KMS, Bedrock), Containerization (Docker / kubernetes)

• Front-end: TypeScript, React, and Tailwind CSS

• Work alongside experienced engineers from leading fintech and technology companies and build infrastructure powering the next generation of private markets

• Solve genuinely hard data and system design problems

• An opportunity to shape the trajectory of a high-growth company with world-class investors

• High autonomy and trust, with a direct impact on how Vega delivers value for clients

• Competitive salary and equity package

• Benefits include private health insurance, sports allowance, L&D budget, and more