Product Engineer - High Ownership Role in London

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.

Role Overview

This is a high-ownership, end‑to‑end product engineering role that is not ticket‑driven. You will own and deliver product features and systems across frontend, backend, and infrastructure.

Success Requires

• Strong fullstack technical ability
• Clear product thinking
• High ownership and accountability

What You’ll Do

• Design, build, and ship full‑stack product features end‑to‑end across frontend, backend, and infrastructure.
• Take ideas from concept to production with minimal hand‑holding.
• Ensure shipped work functions in the real product, not only in isolation.
• Translate product goals into technical solutions and make pragmatic trade‑offs between speed, quality, and scalability.
• Design maintainable, evolvable solutions that meet scalability and performance needs.
• 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.
• Use AI tools (Cursor, Copilot, LLMs) as a force multiplier; build and integrate AI‑powered features where appropriate; maintain engineering quality while moving fast.
• Contribute to engineering standards, raise the quality bar across the codebase, mentor other engineers, and improve developer experience, tooling, and workflows.

Requirements

• Strong full‑stack capability (TypeScript & React, API design, Go, SQL/PostgreSQL).
• Experience with production systems.
• Delivery and ownership mindset: take responsibility, handle ambiguity, focus on outcomes, identify risks, balance speed & quality.

Highly Desirable

• Geospatial experience (PostGIS, vis.gl / deck.gl).
• AWS deployment and operations (ECS, Fargate, S3, CloudFront).
• CI/CD pipeline design and ownership.
• Building data‑heavy or visual products.
• ClickHouse or large‑scale analytical data systems.
• React Native / mobile experience.
• Startup or scale‑up environments.
• Experience building or integrating AI‑driven features.

Who You Are

• 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.

How We Work

• 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.

What Success Looks Like (3–6 months)

• Delivered multiple production features end‑to‑end from ambiguous idea to shipped product.
• Operate with high ownership – proactively driving work forward with minimal oversight.
• Make and influence technical decisions.
• Work effectively across the stack (React, Go, data layer) and debug issues in production.
• Use AI tools to accelerate delivery without compromising quality.
• Raise bar for the team via code quality, feedback, and improved ways of working.

Benefits

• Salary: £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.

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.