Principal Software Engineer

Principal Platform Engineer

FULLY REMOTE ACROSS UK AND IRELAND

Our client is a fast-scaling fintech building the next generation of payment infrastructure. They’re merchant-first, engineering-led, and genuinely obsessive about outcomes over process. Small teams, real autonomy, hard problems.

They’re hiring a Principal Platform Engineer to own the design and delivery of a suite of Model Context Protocol (MCP) servers – the trusted, governed gateway between AI agents and their core payments platform.

This is a hands-on principal role. You’ll set technical direction and write production code, not just review it.

What you’ll be doing:

• Owning the architecture and delivery of MCP servers that expose platform data and capabilities to AI agents and internal developer tooling
• Designing the transport and session model (Streamable HTTP), including stateful sessions for progress streaming, subscriptions, sampling, and user elicitation flows
• Implementing robust OAuth-based authentication and authorisation, integrated with the company’s identity provider, with least-privilege, per-request data scoping
• Designing and operating the edge and gateway layer – Cloudflare Workers and Durable Objects – for token validation, JWKS caching, routing, and session state
• Defining standards, patterns, and reusable libraries so other teams can build additional MCP servers quickly, consistently, and securely
• Embedding security and compliance into every layer – this is a high-trust surface over sensitive payment data
• Driving observability, performance, and reliability across the stack, including logging, tracing, rate limiting, and graceful degradation
• Mentoring engineers, reviewing designs and code, and acting as a technical leader across a domain that is new, fast-moving, and security-sensitive

What they’re looking for:

• 8 to 10 years in software engineering, with a track record of owning systems end to end
• Deep server-side expertise in TypeScript/Node.js or Python – both are actively used here
• Strong, practical understanding of the Model Context Protocol – defining tools, resources, and prompts; designing well-typed schemas; writing tool descriptions that drive reliable model behaviour
• Solid grounding in LLM tool-use and agentic patterns, including how models select and invoke tools, manage context, and handle multi-step interactions
• Hands-on experience with OAuth 2.0, OIDC, JWT validation, and identity provider integration
• Experience deploying and operating services at the edge or in serverless environments – Cloudflare Workers, AWS Lambda, Cloud Run, or similar
• Security-first mindset; PCI DSS awareness is a strong plus
• Awareness of AI-specific security concerns – prompt injection, over-broad tool permissions, and safe handling of model-driven actions
• Comfortable operating as a team of one or scaling up to lead a broader group
• BS or MS in Computer Science or equivalent practical experience

Benefits:Work From Home

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