SpaceX
Full Stack Software Engineer, Manufacturing
About this role
SpaceX seeks a Full Stack Software Engineer to develop mission-critical applications for manufacturing and Starlink operations at the Starbase facility. You'll own the full software development lifecycle, building reliable systems that directly support rapid Starship production and next-generation satellite manufacturing, working closely with cross-functional teams in a fast-paced environment.
What you'll do
- Develop highly reliable, mission-critical software solutions used across SpaceX operations
- Create new applications that improve manufacturing processes and Starship reusability
- Build prototypes to validate design concepts and identify technical constraints
- Own all aspects of software engineering from architecture to deployment and monitoring
- Conduct deep-dive analysis of user problems to design efficient solutions
- Participate in code reviews and architectural decisions as a collaborative team member
What they're looking for
- Full stack development (frontend and backend)
- Object-oriented programming (Python, C#.NET, Go, Scala, Java, or similar)
- Single page application development (Angular, React, or similar frameworks)
- Database design and management (PostgreSQL, SQL Server)
- Docker and Kubernetes containerization
- CI/CD pipelines and version control systems
- Streaming data platforms (Apache Kafka, RabbitMQ, ActiveMQ)
- Unix-like systems and infrastructure tools (Terraform, Ansible, Puppet)
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SpaceX
SpaceX develops advanced spacecraft and satellite systems, including the Starshield government satellite constellation and Starfall re-entry cargo capsule for global delivery. The company is hiring engineers in avionics integration, software test automation, mechanical design, and hardware reliability to validate flight-critical systems and ensure mission success.
- Website
- spacex.com
Likely interview questions
- Walk us through a full stack application you built from design through production—what were the key technical decisions and trade-offs?
- Describe your experience with streaming data platforms like Kafka or RabbitMQ and how you've used them to solve a data processing challenge.