I design and build scalable, reliable software systems for teams that need senior engineering expertise, strong architectural foundations, and hands-on technical leadership.

With over a decade of experience across FinTech, AdTech, enterprise SaaS, and globally scaled platforms, I focus on solving complex technical problems through modern architecture, clean design, robust automation, and a deep understanding of the business.

I work across architecture, backend engineering, UX, and platform operations, to help organisations build software that is resillient, maintainable, and scalable.

• Software & Systems Architecture - Distributed systems, domain-driven design (DDD), event-driven architecture, API design.
• Backend Engineering - Node.js / Typescript, Python, Go, microservices, performance engineering.
• Platform & Infrastructure - Kubernetes, Terraform, CI/CD, observability, cloud cost optimisation.
• AI & Automation - LLM integration, workflow automation, internal tooling, data-driven systems.
• Technical Leadership - Leading engineering efforts, system design reviews, improving team engineering practices.

• 10x increase in backend throughput for a FinTech platform via architectural redesign and performance optimisations.
• Enterprise application modernisation as a global scaling, supporting 20,000+ users.
• LLM integration into production SaaS systems to improve user workflows.
• 70% reduction in cloud infrastructure costs, achieved through Kubernetes and Terraform optimisation.
• 90% reduction in production errors after implementing automated testing, CI/CD, and release improvements.

Languages & Frameworks: TypeScript, Node.js, Python, Go, GraphQL, NestJS, React.

Architecture & Platforms: Kubernetes, Docker, Terraform, AWS, GCP, Azure, DDD, microservices, event streams, CQRS.

Engineering Excellence: CI/CD, automation testing, observability, performance tuning, DDD, clean architecture.

AI & Data: LLMs, prompt engineering, vector search, data pipelines, ETL, workflow automation, statistical analysis, Machine Learning.

• Designing data-driven systems and automation workflows.
• Building modular backend architectures with strong domain boundaries.
• Exploring how LLMs can augment engineering teams and developer tooling.
• Crafting resilient infrastructure using Kubernetes and IaC best practices.

If you'd like to discuss architecture, systems design, backend engineering, or anything related to building scalable software, feel free to connect:

LinkedIn: https://www.linkedin.com/in/thomas-hampson Email: thomas[at]hmpsn.me