Backend Software Engineer, CHAOS Industries

• We’re looking for engineers who enjoy solving hard infrastructure problems, scaling distributed systems, and building software that performs under demanding real-world conditions
• We’re looking for exceptional backend and cloud engineers who are excited by solving hard technical problems and building systems that matter. You don’t need experience with every technology we use—we value strong engineering fundamentals, curiosity, and the ability to learn quickly
• Enjoy building scalable backend systems and taking ownership of production services
• Enjoy solving complex cloud infrastructure and distributed systems challenges
• Are eager to learn new technologies and adapt to new technical domains
• Care deeply about reliability, security, scalability, and operational excellence
• Communicate well and enjoy collaborating across software, hardware, and systems engineering teams
• Are motivated by building technology with meaningful real-world impact
• Ability to obtain and maintain a U.S. security clearance

Desirable

• You’ll join a small, highly collaborative team building the secure cloud platform behind some of the world’s most advanced radar systems. Working alongside software, hardware, and systems engineers, you’ll design and operate the backend services and cloud infrastructure that ingest, process, and deliver mission-critical sensor data at scale. The systems you build must be reliable, resilient, secure, and performant—enabling operators to depend on them in the environments where they matter most
• This is a high-ownership role where you’ll influence architecture, build production systems, and help define the engineering foundations of a rapidly evolving platform
• Cloud Platform – Design, build, and operate secure, scalable Azure infrastructure that powers distributed radar systems and backend services
• Backend Services – Develop high-performance services that ingest, process, and distribute real-time sensor data with low latency, high reliability, and security at scale
• Infrastructure & Automation – Define infrastructure as code, automate deployments, and continuously improve the platform through modern DevOps practices
• Reliability & Operations – Own observability, monitoring, resiliency, and operational readiness, ensuring production systems remain secure, scalable, and dependable in demanding environments
• Platform Architecture – Help shape the technical direction of the platform, making architectural decisions that support new capabilities, increasing scale, and long-term maintainability
• Cross-Functional Integration – Partner closely with software, hardware, and systems engineers to deliver secure, reliable end-to-end capabilities from sensor to cloud