Overview
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.
Pay / Benefits
- 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
Responsibilities
- 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
Key requirements
- 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
…
