Sr. Backend Software Engineer, Fraud Risk Platform

Navan is seeking a Sr. Backend Software Engineer to join our Fraud Strategy team and help build a scalable, extensible risk platform to mitigate fraud across our Travel business. This role involves leading the design and development of risk-centric services and collaborating with data scientists to create robust fraud mitigation solutions.

Responsibilities:

• Architect and build extensible and scalable microservices to support real-time fraud detection and mitigation across the onboarding and booking flows for the travel customers
• Work closely with Fraud Strategy Data Scientists to identify data needs, enabling real-time data ingestion and transformation of real-time and offline signals into the risk engine
• Stand up and maintain a case management system to support manual decisioning and integrate outcomes back into model training pipelines
• Develop integrations with third-party fraud vendors, ensuring their signals are correctly ingested and processed in the risk platform
• Build observability dashboards to monitor performance, risk coverage, and system reliability
• Own end-to-end CI/CD pipelines, including production deployment and best practices for release management
• Ensure high reliability and performance in a cloud-native environment (AWS or similar)
• Serve as the engineering point person inside the business unit and help align risk mitigation engineering efforts with the broader product and engineering organization
• Promote engineering excellence through code reviews, architecture discussions, and working with other developers from the cross-functional teams

Requirements:

• 6+ years of experience as a backend software engineer with strong backend architecture skills
• Deep experience with Java, Spring Boot, and microservices architecture
• Experience working with real-time data ingestion into the risk engines in production
• Familiarity with cloud-native infrastructure, especially AWS, and containerized services using Docker and Kubernetes
• Strong understanding of CI/CD best practices and experience with GitHub Actions (or similar), deployment pipelines, and observability tools
• Experience designing or integrating with third-party APIs, especially fraud vendors and data providers
• Ability to work autonomously within a business unit and drive alignment across data science, product, and strategy teams
• A collaborative and business-minded engineer who understands the 'why' behind risk mitigation efforts and is motivated by impact
• Proficiency in JavaScript/TypeScript and React for building full-stack applications is preferred but not required
• Prior experience building case management systems or internal tools for manual operations
• Exposure to fraud prevention, payments, trust & safety, or similar risk domains
• Experience with building ML model feedback loops or event-driven architectures
• Familiarity with Infrastructure as Code (e.g., Terraform)
• Experience working on small, high-impact teams embedded in cross-functional environments