Matt Burrell
Senior Backend Platform Engineer & Solutions Architect @Solid Code Solutions
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WORK HISTORY
Senior Backend Platform Engineer & Solutions Architect @Solid Code Solutions
I operate as a senior backend and platform engineer, working with organisations ranging from large enterprises to early-stage startups to design, build, and evolve backend systems, data platforms, and integrations.I’m typically brought in to tackle complex problems such as- designing and scaling backend APIs and data-centric systems- building event-driven and integration-heavy platforms- evolving or simplifying existing architectures as products grow- integrating third-party services (payments, collaboration tools, identity)- delivering pragmatic AI features as part of production systemsOver the years, I’ve worked with organisations including DHL, Sainsbury’s, the Department for Education, Freshfields Bruckhaus Deringer, REED, Experian, and Nike, as well as numerous SMEs and startups such as CloudBees, Configit, MSX International, Delta Financial Systems, Juniper Education, Kindred.co, GlowDay, Redware, Blue Edge AI, and Waltz.team.This long-running consultancy experience has given me strong judgement around trade-offs: knowing when to move fast, when to invest in robustness, and how to build systems that are reliable, maintainable, and fit for their context.
EDUCATION
University of Hertfordshire
Psychology MSc (Distinction), Psychology
University of Warwick
Computer Science BSc (Hons), Computer Science
SKILLS
ABOUT MATT BURRELL
Senior Backend Engineer and hands-on Solutions Architect. I build and evolve backend systems that power real products, scalable APIs, data pipelines, and event-driven integrations with third-party platforms like Stripe, Zendesk, Zoom and Microsoft 365.I’m pragmatic and product-minded: I know when to move fast and when to invest in robustness. I’ve worked on data-heavy platforms, platform migrations, and SaaS systems at different stages, from early builds to large, long-running services.I also ship AI features in production where they add value, typically as part of backend systems: LLM integrations, retrieval/search, and automation layered on top of existing data and workflows.Technical Focus Areas:• Backend engineering (TypeScript/Node, Python, C#)• Data systems & databases (SQL & NoSQL, modelling, performance, migrations)• Event-driven & serverless architectures• Platform integrations & APIs• Identity & security (OAuth 2.0, OpenID Connect)• Practical AI features in production (LLMs, RAG, semantic search, automation)
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