Golang Backend Engineer, Financial Product Fraud

Deliveroo; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Deliveroo is seeking a Backend Engineer (Golang) to build real-time fraud detection and enforcement across the company's financial products. The role sits in London and collaborates with teams in Helsinki and Berlin to protect payout flows and banking operations.

You will design high-throughput services, own production code, and contribute to the fraud infrastructure while working with risk, data science, and product stakeholders to translate patterns into actionable rules.

Qualifications

• 3–6 years of professional software engineering experience, with ownership of production services.
• 1+ years of production Go experience or strong willingness to learn Go quickly.
• Understanding of low-latency, high-throughput distributed systems.
• Experience with SQL and/or NoSQL databases and event-driven architectures.
• Willingness to on-call with a pragmatic reliability mindset.
• Uses AI tooling in day-to-day development and can evaluate its outputs.

Responsibilities

• Build high-throughput, low-latency Go backend services for real-time fraud detection.
• Design automated enforcement for financial products across multiple brands.
• Extend a shared fraud decisioning platform to leverage signals, rules and models.
• Collaborate with risk, data science, and product teams to translate patterns into detections.
• Work across teams to reuse signals and interfaces, avoiding rebuilds.
• Contribute to architectural decisions establishing fraud infrastructure baseline.
• Write well-tested, observable code and maintain high quality standards.

Skills

Golang backend

Low-latency systems

Distributed systems

SQL/NoSQL

On-call readiness

AI tooling usage

Tools

Kafka

AWS

GCP

Job description

Our Global Structure

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

Your job is to make sure every payout and transaction lands with the right person.

We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform.

This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform‑issued banking and earned‑wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch.

We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one.

This role will be based in London, UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin.

What you'll do:

• 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. We build on their signals rather than rebuild them, so clean interfaces matter.
• 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. In fraud, a silent failure is a loss event.

Our expectations:

• 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. Real‑time decisioning comes with a latency budget, and you are keen to learn to build inside one.
• 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.

Nice to have

• 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.

What we value

• A product‑oriented mindset. You think beyond the ticket, understand the “why” behind the work, and take a high level of responsibility for outcomes rather than output.
• Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them.
• A track record of owning a project or feature end to end, especially in fast‑paced environments.
• Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together.
• An adversarial instinct. The best fraud engineers enjoy thinking like the attacker.

Diversity, Equity and Inclusion

At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.

We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio‑economic background, religion, or belief.

If you have a disability or long‑term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.

If you’re excited about making a real impact in a fast‑moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!