Product Engineer - High Ownership Role

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 fullstack 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:

• TypeScript & React (modern patterns, performance, state management)
• API design and integration (REST and/or GraphQL)
• Backend development (Golang)
• SQL and data modelling (PostgreSQL preferred)
• Experience working with production systems

You:

• 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, CloudFront)
• CI/CD pipeline design and ownership
• Experience building data-heavy or visual products
• Experience with ClickHouse 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

By 3–6 months, you will:

• 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

We aim to move quickly and minimise unnecessary stages. The process typically includes:

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

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