Senior Backend Software Engineer, Navan

• This hands-on role requires strong technical depth, the ability to operate independently, and a collaborative mindset to translate business needs into high-reliability applications running at scale in the cloud
• 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

Desirable

• 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 engineer will be embedded within the business unit and will partner directly with data scientists and fraud strategy leads to create robust, real-time fraud mitigation solutions that protect both Navan and its customers
• You will lead the design and development of risk-centric services spanning onboarding, booking, and post-booking activities such as chargebacks and dispute management
• Your work will power real-time decision engines, including third-party vendor integrations, feedback loops into machine learning models, and manual review tools that close the fraud detection and prevention lifecycle
• 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