Full Stack Engineer

Fantastic opportunity to join a world class business.

Job Title: Full-Stack Engineer

Location: UK-London

Overview:

Our team builds data-driven products that directly drive revenue growth by transforming how our sales teams operate. We create innovative data and software tools that sales teams use to close more deals and identify new opportunities.

As a Full-Stack Engineer, you'll develop and help shape the technical direction of our platform ecosystem: web portals, automated document generation systems, and cloud applications that process billions of records. You'll contribute to technical decisions - from selecting frameworks to designing integrations between Big Query data pipelines, Salesforce, and enterprise authentication systems. You'll also build AI-powered features into our products - designing LLM orchestration pipelines, integrating with foundation model APIs, and building tool servers (e.g. MCP) that connect AI agents to our data and services.

Working in a multi-language, hybrid-cloud setting utilising Python, Type Script, AWS, GCP and more, you'll build high-performance solutions while contributing innovative ideas for future capabilities. The goal is to provide clear user interfaces for a variety of internal and external stakeholders, giving them greater insight into their business and driving efficient workflows.

Your work directly influences how hundreds of sales professionals across global business units identify prospects, prioritise opportunities, and close deals. You'll see your contributions translate into measurable outcomes: new contracts won, time saved in sales cycles, and millions in incremental revenue. The tools you build will be used daily by teams in the field. You'll work with Analytics Engineers in your team who build the data pipelines powering your applications, sales teams across business units who provide direct feedback, product and commercial teams who understand customer needs, as well as data engineers and IT teams who help scale solutions.

This cross-functional exposure gives you a unique perspective on both technology and business context. You'll help scale successful, well-loved tools from MVP stage to enterprise-grade platforms serving new markets, working in a small, collaborative team with startup pace but enterprise resources and mandate.

Responsibilities:

You'll design and implement new products and tools across the full stack, from APIs and service architectures to frontend interfaces. Daily work involves reviewing technical designs with Analytics Engineers, contributing to system integration and design decisions, and writing code in Python and Type Script from infrastructure through to user interface. A typical day includes building proof-of-concepts for new tools and products, evaluating their fit for the platform architecture, and presenting technical recommendations to the team.

You'll use AI coding tools as part of your daily development workflow and be expected to build AI-powered features, including designing LLM integration patterns, prompt orchestration layers, and tool servers that connect our platform to external services and data sources. You'll investigate and resolve production bugs, optimise web portal performance and rendering efficiency, debug Lambda functions, and refactor components to improve reliability and maintainability.

You'll design efficient data patterns in the cloud to handle high-volume datasets and ensure applications remain responsive under load.

You'll work alongside team members to define technical requirements for new features, propose implementation approaches, and estimate development effort. This includes supporting integration patterns between systems, implementing authentication and authorisation for enterprise portals, specifying API contracts, and selecting scalable technologies that can grow with the platform. You'll also spend time on infrastructure work: deploying services via Terraform, configuring CI/CD pipelines, architecting document generation systems, and ensuring applications meet performance and security requirements for enterprise deployment.

Qualifications:

• Expert-level Python development experience building production applications
• Expert-level AWS experience, including Lambda, S3, and API Gateway
• Proven experience deploying and managing containerized applications
• Hands-on experience with Infrastructure as Code tools, particularly Terraform
• Experience making technical architecture decisions and trade-offs in fast-paced environments