About the job
Air Space Intelligence (ASI) develops technology that supports decision-making in aviation, defense, and energy. With backing from investors such as Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI focuses on transforming complex analysis into real-time operational decisions. The company’s efforts drive advancements in critical sectors where precision and reliability matter.
The Civil Aviation team at ASI is dedicated to modernizing the United States air traffic control system. This group manages thousands of daily flights in a safety-critical environment, working on projects like trajectory prediction tools and decision-support systems. The team also prepares for emerging technologies, including commercial space operations and advanced air mobility, all while ensuring the national airspace remains safe and efficient.
Role overview
This Cloud Platform Engineer position is based in Boston and sits within the Civil Aviation team. The focus is on designing, maintaining, and improving cloud infrastructure that supports live aviation systems. Hands-on work with production environments is central to the role, emphasizing scalability, resilience, and continuous deployment.
Core responsibilities include developing and enhancing infrastructure, using infrastructure-as-code, managing Kubernetes-based systems, and contributing to deployment pipelines to enable rapid and secure releases. The work has a direct impact on system reliability and performance, supporting 24/7 operations where uptime is critical.
Collaboration and impact
Close collaboration with backend, product, and platform engineers is expected. The role involves deploying services, improving observability, and addressing production issues. Responsibilities also include diagnosing problems, strengthening system resilience, and raising standards for reliability. Challenges often center on scaling distributed systems, improving release safety, and automating processes to reduce operational overhead and maintain smooth operations.
Requirements
- Experience building and maintaining production cloud infrastructure
- Familiarity with AWS (preferred), GCP, or Azure
- Strong understanding of Kubernetes and containerized systems

