Software Engineer, Backend – Consumer, Risk

Coinbase

Software Engineer building backend services for risk detection and fraud prevention at Coinbase. Collaborating with Data Science and ML teams to enhance financial security.

Posted 7/17/2026full-timeRemote • 🇨🇦 CanadaJuniorMid-Level💰 CA$154,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend software engineering, focusing on building and maintaining high-throughput, low-latency distributed systems. Proficient in risk detection and fraud prevention technologies, with a strong understanding of cloud platforms and data management.

Highest-signal resume keywords

Backend Software EngineeringHigh-Throughput Distributed SystemsCloud Platforms (AWS, GCP)Risk Detection and Fraud PreventionContainerization (Docker, Kubernetes)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GoRubyPythonJavaAPIsData StructuresAlgorithmsEvent-Driven ArchitecturesRelational DatabasesNoSQL Databases

Soft Skills

Problem-SolvingCollaborationCode Review ParticipationTechnical Design

Tools & Technologies

DockerKubernetesKafkaRabbitMQCloud Infrastructure

Industry Keywords

Fraud DetectionPayment SystemsBlockchain TechnologyCrypto TransactionsGenerative AI

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaKafkaKubernetesNoSQLPythonRabbitMQRuby

About the role

Key responsibilities & impact

Build and maintain backend services that power risk detection, fraud prevention, and financial risk mitigation across Coinbase's platform, operating at the scale, speed, and 24x7 nature of crypto markets.
Own feature delivery end-to-end, from technical design through implementation, testing, deployment, and monitoring, for risk platform capabilities that directly protect users and the business from financial threats.
Partner with Data Science, ML, and Risk Analysts teams to develop both proactive systems (models, user-facing risk features) and reactive solutions (one-off risk mitigations, incident response tooling) that reduce fraud and financial loss.
Drive reliability and observability in risk platform services by implementing mechanisms to identify regressions, ensure prompt visibility of issues, and contribute to incident response and post-mortems.
Contribute to the team's engineering culture by maintaining high code velocity, participating in code reviews, and building reusable solutions that can be leveraged across the team.

Requirements

What you’ll need

2+ years of experience in backend software engineering, with a track record of shipping production services handling high-throughput workloads across multiple concurrent projects.
Proficiency in at least one backend language (e.g., Go, Ruby, Python, Java) with experience working across relational and/or NoSQL databases, cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and event-streaming architectures (Kafka, RabbitMQ).
Strong understanding of software design patterns, data structures, and algorithms, with the ability to independently manage complex tasks and work in unfamiliar systems with guidance.
Experience building or working with high-throughput, low-latency distributed systems, including APIs, event-driven architectures, and cloud infrastructure.
Experience with risk, fraud detection, payment systems (ACH, cards, crypto), blockchain technology (e.g., Bitcoin, Ethereum), or the unique risk challenges associated with crypto transactions.
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Benefits

Comp & perks

Total compensation may include equity and bonus eligibility and benefits (including medical, dental, and vision)