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.
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