SpaceX
Full Stack Engineer (Application Software)
About this role
SpaceX seeks a Full Stack Engineer to develop mission-critical software powering launch operations, Starship manufacturing, and Starlink's global satellite network. You'll own end-to-end software solutions across backend systems, web applications, and data platforms that directly enable SpaceX's operations and customer services.
What you'll do
- Develop reliable, production-grade software used across SpaceX's launch and manufacturing operations
- Design and build new applications that improve operational efficiency for launch vehicles and Starlink
- Create prototypes to validate architectural designs and assess technical constraints
- Take full ownership of software engineering and product development lifecycle
- Analyze user workflows and problems to engineer efficient, scalable solutions
- Participate in code reviews, architectural discussions, and collaborative design decisions
What they're looking for
- Full stack development (front-end and back-end)
- Object-oriented programming (Python, C#/.NET, Go, Java, or Scala)
- Single-page application development (React, Angular, or similar)
- Relational databases (PostgreSQL, SQL Server)
- Docker, Kubernetes, and containerization
- CI/CD, version control, and automated testing
- Data streaming platforms (Apache Kafka, RabbitMQ)
- Linux/UNIX systems and infrastructure-as-code tools (Terraform, Ansible)
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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 project you owned from design through deployment—what were the key architectural decisions you made?
- How have you approached optimizing application performance in production, and what tools or methodologies did you use?