Golang Backend Engineer, Financial Product Fraud

London, United Kingdom - Deliveroo · 1+ years experience · Full-time · Posted Oct 13, 2026

At a glance

Deliveroo is seeking a Golang Backend Engineer to join a new founding engineering team in London focusing on financial product fraud.
The role involves designing and shipping real-time detection and automated enforcement for high-throughput, low-latency financial products across DoorDash, Wolt, and Deliveroo.
You will build and maintain backend services that score financial events in real time, helping protect new financial offerings like instant payouts, merchant loans, and banking products.

Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers.
Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout.
Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times.
Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer.
Work across team boundaries with our account security, payments fraud, and financial product teams, building on their signals rather than rebuilding them.
Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team.
Write well-tested, observable code and help the team hold a high quality bar.

3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production.
1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly.
A working understanding of low-latency, high-throughput distributed systems.
Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar).
Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability.
Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality.

Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud.
Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path.
Background in Kotlin, Java, Python, or Node.js alongside Go.
Familiarity with cloud infrastructure (AWS, GCP).
Experience working across multiple brands, regions, or regulatory regimes.