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A cutting-edge fintech company in Greater London is seeking a Full Stack / Back End Engineer excited to build robust systems. You will design and maintain APIs and services, contributing to significant projects that merge data, AI, and innovative risk management. The ideal candidate has 2–4 years of experience in software engineering, familiarity with server-side languages, and a collaborative mindset. This role offers a hybrid work model and numerous benefits to support personal and professional growth.
We’re looking for a Full Stack / Back End Engineer who’s excited to build reliable systems and experiment with new technologies. You’ll help design, build, and maintain the APIs and services behind our platform, working across the stack from infrastructure to UI.
You’ll be closely involved in technical decisions, architecture, and best practices, while contributing directly to the codebase. Beyond core programming skills, we value interest or experience in data, security, or DevOps that help raise the bar across the team. As we expand our use of AI and large language models, you’ll have the chance to work on projects that combine data, automation, and intelligent tooling in real production environments.
Above all, we’re looking for a positive, collaborative individual – confident in their skills, focused on outcomes, and able to challenge ideas constructively. Someone who balances productivity with continuous learning and improvement, and who’s willing to both teach and learn from others.
You’ll report to one of our Tech Leads and work closely with our product and data teams. As part of a small, high-caliber engineering group, you’ll collaborate across disciplines — gaining exposure to architecture, product development, and data-driven decision-making while contributing to meaningful projects and growing your technical breadth.
This is a fantastic opportunity to join one of the most exciting financial technology companies, with the chance to grow and develop alongside the business.
We follow an Agile development methodology - but unlike others, we use a flexible variant of Scrum across the entire organisation, including executive tasks and decisions.
Our multidisciplinary team offers flexibility for individuals to move between core engineering, infrastructure, testing and research.
Our stack includes Go, VueJS, Postgres and Python, deployed through a fully automated AWS environment (Terraform, Ansible, GitHub Actions). Alongside this, we’re building the next generation of our data and AI infrastructure — exploring frameworks like Hugging Face, LangChain, LlamaIndex and agent orchestration systems.
We use Cursor and Copilot to speed iteration and experimentation. We’re always open to new approaches, whether it’s a different data stack, AI toolkit, or a creative way to apply LLMs in production.