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# Fullstack Engineer, Investigator Tools

- **Company:** Sardine
- **Location:** UK (Remote available)
- **Salary:** £112,000.0 - £128,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Software Debugging, Node.Js, Operational Databases, Performance Tuning, Technical Data Management Systems, TypeScript, ReactJS, Backend, Production Code, Front End Software Development, Golang, Programming Languages
- **Published:** October 16, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5930234602

## About the Role

Core technical stack: Extensive experience writing efficient, production-ready code in TypeScript, Node.js, React, Go and other server programming languages.

Scale and data expertise: Proven experience working with data-intensive applications, complex workflows, and big data at scale.

Pipeline proficiency: Deep background in technical data modeling and building robust production data pipelines.

High-growth adaptability: The ability to thrive, execute, and deliver consistently in a fast-paced, high-growth startup environment.

Independent execution: A proven track record of taking extreme ownership of ambiguous problems and independently turning them into polished, scalable features.

## Description

As a Full Stack Engineer at Sardine, you will bridge the gap between complex technical backend systems and user-friendly interfaces to help us stop fraud in its tracks. This is a dynamic, high-impact role. On average, you will be working 60% on backend development and 40% on frontend development but are willing to help out wherever is needed. You will build out data-intensive applications, including advanced graph systems used to uncover complex fraud rings. You will own features end-to-end at a massive scale, ultimately empowering fraud analysts to uncover and investigate suspicious transactions faster than ever before.

What you'll be doing:

Own features end-to-end: Drive the product lifecycle from determining the initial problem space and user needs, to technical modeling, UX execution, and iterative improvements based on vague requirements.

Translate complexity to usability: Build out complex technical systems into intuitive, user-friendly interfaces.

Build fraud-fighting tools: Develop and optimize advanced graph systems to visualize fraud rings, and build performant search tools that help analysts rapidly identify suspicious transactions.

Collaborate cross-functionally: Work tightly with Design, Data, Product, and Account Management teams to align engineering output with business and user needs.

Ensure system health: Proactively diagnose, triage, and resolve bugs while writing highly efficient and performant code.