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A financial technology company in London is seeking a Senior Engineer to join their technical team. The ideal candidate has over 4 years of experience in software engineering and expertise in languages like Go or Python. Responsibilities include engaging in technical decisions, collaborating across teams, and contributing to innovative projects. The company offers a hybrid work environment, private healthcare, and opportunities for career development.
We look for character over credentials:
We’re looking for a Senior Engineer with great general skills to join our first-class technical team. An ideal candidate thrives on solving complex problems and is eager to shape how we build and apply AI and large language models within our products.
You’ll be deeply 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.
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 will report directly to our CTO, Yoel Marson. You’ll work closely with our Tech Leads, product managers and data teams, collaborating across disciplines to design and deliver high-impact features. You’ll play a key role in shaping how ideas move from concept to production — contributing to architecture, product direction and data-driven decision-making while expanding your technical breadth and leadership influence.
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.