Backend Engineer

Who We Are:

Exiger is the AI partner for supply chain and procurement automation. Its centralized 1EXIGER.AI platform allows organizations to manage their entire operating network, from parts to suppliers, regulators, and customers, through an autonomous agentic workforce that learns, adapts, and augments with every decision. The AI-native platform, combined with the largest supply chain knowledge asset, empowers 550+ global customers, including 150 Fortune 500 and 80+ government and defense industrial organizations, to act first. Exiger is FedRAMP® authorized and a 2x Leader in Gartner® Magic Quadrant™ for Supplier Risk Management.

xiger is building technology that makes the world a more transparent place to succeed. Our

We are seeking an experienced and passionate Senior Engineer to lead our DDIQ team, the group responsible for our core risk signals processing engine — the cornerstone of our platform. By combining data on global companies with signals from worldwide events, our team builds systems that transform massive volumes of raw data into actionable risk insights. These insights help our customers identify and mitigate potential risks in their suppliers and partners, driving smarter and safer business decisions.

As a Senior Software Engineer, you’ll drive the technical direction of our products, build reliable, scalable web applications and services that power our SaaS platform, operate and maintain the system, and mentor other engineers on the team. You will play a key role in engineering the scalability, reliability, quality, performance, and maintainability of our systems.

LOCATION: Mclean, VA / New York, NY / Richmond, VA
STATUS: Hybrid (2 days per week)

What you’ll do:

•  Own the technical vision and architecture for production applications, establishing a clear architectural direction that supports the product’s current needs and long-term growth
• Serve as the most senior technical authority on the team, providing leadership across backend, frontend, data, infrastructure, and system design
• Effectively utilize AI and manage AI agents to drive delivery across all stages of the SDLC, including design, development, testing, CI/CD, operations at speed and scale
• Deliver features across multiple services and systems, ensuring scalable, secure, and high-quality releases
• Oversee architecture and design decisions, helping the team make tradeoffs between performance, scalability, and time-to-market
•  Ensure reliability and observability across our microservices ecosystem, including production monitoring, alerting, and recovery