Anduril Industries
Software Engineer, Factory Systems
About this role
Anduril Industries seeks a Software Engineer to develop and operate a foundational software test platform that systematically tests products and improves development processes. You'll build elegant platform solutions integrating edge and cloud systems, championing automation and reducing complexity through parallel execution and automated deployment tools.
What you'll do
- Design and develop RESTful backend services and cloud-based architectures supporting the test platform
- Write high-quality, scalable code and participate in code reviews and architectural discussions
- Build and manage containerized applications using Docker and Kubernetes with infrastructure-as-code practices
- Create automation solutions to reduce operator time and complexity through parallel execution and data acquisition
- Develop deep expertise in portions of the technology stack and provide technical support to platform users
- Collaborate with cross-functional teams to solve complex, multi-platform software and hardware integration problems
What they're looking for
- .NET (C#, ASP.NET Core)
- RESTful API design and development
- AWS cloud architecture and services
- Docker and Kubernetes
- Relational databases (SQL Server, SQLite) and NoSQL (DynamoDB, Redis)
- Infrastructure as code
- Edge-to-cloud communication and messaging protocols
- Python (CPython internals preferred)
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through your experience designing and implementing RESTful backend services in .NET—what challenges have you faced with scalability?
- How have you approached managing containerized applications in production using Docker and Kubernetes, and what infrastructure-as-code tools have you used?