Product Engineer - Ownership

About REalyse

REalyse builds the data and intelligence layer for the UK property market. Our platform processes large-scale geospatial, planning, and transactional datasets to power valuation models, portfolio monitoring tools, and AI‑driven workflows used by property professionals across the country. We combine modern frontend systems, high‑performance backend services, and AI to solve complex real‑world problems.

This is not a "ticket‑driven" engineering role. You will be responsible for owning and delivering product features and systems end‑to‑end — from idea through to production — across frontend, backend, and infrastructure. Success requires:

• Strong full‑stack technical ability
• Clear product thinking
• High ownership and accountability

If you prefer clearly defined tasks with limited ambiguity, this is not the role for you.

• Design, build, and ship features end‑to‑end across frontend, backend, and infrastructure
• Take ideas from concept → production with minimal hand‑holding
• Ensure what you ship works in the real product, not just in isolation

• Translate product goals into technical solutions
• Make pragmatic trade‑offs between speed, quality, and scalability
• Design solutions that are maintainable and evolve with the product

• Write clean, reliable, and scalable code across the stack
• Improve performance, observability, and reliability of existing systems
• Debug and fix issues in live environments

• Collaborate closely with product, data, and design
• Challenge requirements and improve solutions
• Think about user impact, not just implementation

• Use tools like Cursor, Copilot, and LLMs to accelerate delivery
• Build and integrate AI‑powered features where appropriate
• Maintain engineering quality while moving fast

• Raise the quality bar across the codebase
• Mentor other engineers where needed
• Improve developer experience, tooling, and workflows

You must be able to operate effectively across a significant portion of the stack.

• Type Script & React (modern patterns, performance, state management)
• API design and integration (REST and/or Graph
  
  QL)
• Backend development (Golang)
• SQL and data modelling (Postgre
  
  SQL preferred)
• Experience working with production systems

• Take responsibility for problems and drive them to completion
• Are comfortable with ambiguity and can move forward without perfect specs
• Focus on outcomes, not activity
• Identify risks and raise them early
• Balance speed with engineering quality

• Geospatial experience (PostGIS, mapping libraries such as vis.gl / deck.gl)
• Experience deploying and operating systems in AWS (ECS, Fargate, S3, Cloud Front)
• CI/CD pipeline design and ownership
• Experience building data‑heavy or visual products
• Experience with Click House or large‑scale analytical data systems
• React Native / mobile experience
• Experience working in startup or scale‑up environments
• Experience building or integrating AI‑driven features

• You think like an owner, not an implementer
• You care about building products, not just writing code
• You are proactive, not reactive
• You communicate clearly and challenge when needed
• You raise the standard of the team around you

• Engineers own problems end‑to‑end
• We optimise for impact, not activity
• We use AI extensively in our workflows
• We favour pragmatic solutions over theoretical perfection
• We collaborate closely across engineering, data, and product

• Have delivered multiple production features end‑to‑end, from ambiguous idea through to shipped product
• Operate with high ownership — proactively driving work forward with minimal oversight
• Make and influence technical decisions, not just implement them
• Work effectively across the stack (React, Golang, data layer) and debug issues in production
• Use AI tools to meaningfully accelerate delivery without compromising quality
• Raise the bar for the team through code quality, feedback, and improved ways of working

£60,000 - £70,000 depending on experience

• 25 days annual leave plus bank holidays
• Flexible remote working
• High autonomy and ownership
• Direct influence on technical direction
• Learning and development support

• Initial screening call
• Technical interview
• Practical exercise
• Final interview

If you're an experienced full‑stack engineer who wants to own systems, work on meaningful technical challenges, and help build AI‑powered products, we'd love to hear from you.