Backend Engineer (Mid-level)

Backend Engineer (Mid-level)

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop AI-powered backend systems for a cutting-edge platform.
  • Company: Join Vega, an innovative startup transforming the private markets industry.
  • Benefits: Competitive salary, equity package, private health insurance, and learning budget.
  • Why this job: Make a real impact in a fast-paced environment with high autonomy.
  • Qualifications: 3-4 years of backend development experience, strong Java and Spring Boot skills.
  • Other info: Collaborate with top engineers and tackle challenging data problems.

The predicted salary is between 28800 - 48000 £ per year.

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 www.vega-alts.com

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.

Technologies

  • 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

Why join us?

  • 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.

Backend Engineer (Mid-level) employer: Vega Investment Technologies Limited

Vega is an exceptional employer for Backend Engineers, offering a dynamic and fast-paced work environment in the heart of London. With a focus on innovation and autonomy, employees are empowered to tackle complex challenges and make a tangible impact on the product and industry. The company fosters a collaborative culture with opportunities for professional growth, competitive compensation, and a range of benefits including private health insurance and a learning and development budget.
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Contact Detail:

Vega Investment Technologies Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Backend Engineer (Mid-level)

✨Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, tech talks, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those that align with AI and backend development. This gives potential employers a taste of what you can do and how you think.

✨Tip Number 3

Prepare for technical interviews by practicing coding challenges and system design problems. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, they want to see how you tackle complex problems, so be ready to think on your feet!

✨Tip Number 4

Apply through our website! We love seeing candidates who are genuinely interested in joining us at Vega. Tailor your application to highlight your experience with Java, Spring Boot, and AI technologies, and let your passion shine through!

We think you need these skills to ace Backend Engineer (Mid-level)

Java
Spring Boot
Microservices
Event-Driven Architectures
Relational Databases
AI Technologies
AWS (EC2, RDS, Cognito, S3, KMS, Bedrock)
Containerization (Docker, Kubernetes)
CI/CD Pipelines
Automated Testing Frameworks
REST APIs
Data Pipeline Optimisation
Analytical Skills
Communication Skills
Collaboration Skills

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, make sure to highlight your enthusiasm for AI technologies. We want to see how you can integrate these solutions into scalable systems, so share any relevant projects or experiences that showcase this passion.

Be Specific About Your Experience: We’re looking for someone with solid back-end development experience, especially in Java and Spring Boot. Don’t just list your skills; give us examples of how you've used them in real-world scenarios. This helps us understand your problem-solving approach.

Emphasise Collaboration Skills: At Vega, teamwork is key! Make sure to mention any experiences where you’ve worked closely with engineers and product teams. We love seeing how you contribute ideas and help push projects forward, so don’t hold back!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Vega!

How to prepare for a job interview at Vega Investment Technologies Limited

✨Know Your Tech Stack

Make sure you’re well-versed in Java, Spring Boot, and the other technologies mentioned in the job description. Be ready to discuss your past projects and how you've used these tools to solve complex problems.

✨Showcase Your Problem-Solving Skills

Vega is looking for someone who can tackle genuinely hard problems. Prepare examples of challenges you've faced in previous roles and how you approached them. Highlight your analytical skills and your ability to think outside the box.

✨Demonstrate Your Passion for AI

Since the role involves building AI-powered capabilities, express your enthusiasm for integrating AI into backend systems. Share any relevant experiences or projects that showcase your understanding of modern AI technologies.

✨Emphasise Collaboration

Vega values teamwork, so be prepared to discuss how you’ve worked with both technical and non-technical teams in the past. Highlight your communication skills and how you contribute to pushing products forward through collaboration.

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