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A leading financial technology company in London seeks a Tech Lead to drive platform evolution. The role involves architectural design, managing engineers, and integrating AI into products. Candidates should have 6+ years in software engineering, proficiency in Go, and experience in distributed systems. This is a permanent, hybrid role offering competitive compensation and company benefits including private healthcare and a share option pool.
We’re looking for a hands-on Tech Lead to drive the next evolution of our platform. You’ll lead by example — designing architecture, managing engineers and shaping how we integrate AI and large language models into our products and workflows. This is a role for someone who loves building, learning fast and shaping technical direction.
In addition to being a strong individual contributor, you’ll take on a clear engineering leadership role — driving initiatives, setting priorities and ensuring plans turn into delivery. You’ll keep the team focused and aligned, while encouraging innovation and maintaining the discipline needed for high-quality execution.
You will be deeply involved in technology decision making, architecture and best practices, while staying close to the code base and championing best practices. Beyond the core programming skills, we value strengths in areas like data, security or DevOps that raise the team’s overall bar.
Above all, we’re looking for a positive, collaborative leader — confident in their skills, outcome-focused, and able to challenge ideas constructively. Someone who balances delivery with continuous learning and teaching.
Reporting to our CTO, Yoel Marson, you’ll partner with product and data teams while leading a small group of engineers. 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.