Software Engineer, Cloud OS

About this role

Anduril is hiring a Software Engineer to build CloudOS, a self-service platform that automates containerized software deployments across multi-cloud, on-premises, and edge environments. You'll design automation pipelines and self-service capabilities that eliminate manual deployment toil and enable teams to ship software from cloud to remote, air-gapped nodes worldwide.

What you'll do

• Build automation pipelines triggered by code merges to automatically create deployment stacks and ship software updates across cloud and edge environments
• Design self-service platform capabilities that abstract infrastructure complexity for everyday users while providing power-users full hardware control
• Collaborate with internal service teams and business lines to understand workload requirements and develop standardized deployment solutions
• Implement automations to eliminate manual toil in complex migration and operational tasks
• Integrate multi-cloud, on-premises, and edge deployment targets into a unified platform
• Ensure platform reliability and scalability across diverse hardware and network conditions

What they're looking for

• Multi-language programming (Rust, Go, C++, Java, Python, JavaScript/TypeScript)
• Kubernetes and container orchestration
• CI/CD and GitOps tools
• Cloud platforms (AWS, Azure)
• Infrastructure automation (Terraform, Crossplane)
• Distributed systems and networking fundamentals
• Platform/infrastructure tooling design
• Software-in-the-loop and hardware-in-the-loop testing

Benefits

• US salary range: $166,000–$220,000
• Work on cutting-edge defense technology with AI and autonomy
• Opportunity to define how software is shipped and deployed at scale
• Collaborate across multiple business lines and technical domains

Likely interview questions

• Describe your experience designing and building platform or infrastructure tooling. How did you measure its impact on other engineers' productivity?
• Walk us through a time you had to automate a complex, manual operational process. What challenges did you face and how did you approach solving them?