Lead Platform Engineer

As Lead Platform Engineer, you will own the design and delivery of scalable backend platforms and AI-enabled workflows. You’ll lead a small engineering team, shaping architecture and coding standards while partnering with product colleagues to solve real lettings operations challenges. You’ll work with cutting-edge AI and cloud-native tech to build reliable, secure systems that scale. This role offers flexible London-based or remote work and significant strategic influence.

• Flexible London office or remote
• Significant technical ownership
• Direct collaboration with senior leadership
• Opportunity to work at the forefront of agentic AI
• Leadership role within a small, ambitious team
• Shape scalable systems across UK lettings and estate agency

• Architect and build scalable backend systems and RESTful APIs from concept to production
• Develop and maintain microservice and event-driven architectures for real-time workflows
• Lead a small team of engineers, overseeing delivery and code quality
• Set best practices for agentic AI development (Claude Code, LLMs, AI-powered workflows)
• Contribute to technical strategy, architecture decisions, and long-term platform planning
• Maintain secure, performant systems and data pipelines as the platform scales
• Collaborate with product teams to translate lettings workflows into technology solutions
• Drive improvements for dependable delivery, QA, and continuous innovation

• Hands-on software engineering experience, ideally in AI, SaaS, automation or related platforms
• Strong Node.js and NestJS expertise; RESTful APIs and microservices
• Practical knowledge of Kubernetes and Google Cloud Platform (GCP)
• Experience with API testing, automated testing, and high software quality standards
• Understanding of agentic AI, large language models, and AI pipelines at scale
• Experience with event-driven systems, secure data pipelines, and cloud-native development
• Knowledge of Next.js and frontend development advantageous
• Experience with PostgreSQL, MongoDB and vector databases (Qdrant)
• Ability to lead engineers while remaining hands-on and technically decisive
• Degree-level education in Computer Science, Engineering, Mathematics or related discipline

• Strong collaboration with cross-functional teams
• Technical leadership and mentoring
• Strategic thinking and architecture planning
• Node.js
• NestJS
• RESTful APIs