SpaceX
Full Stack Software Engineer, Internal Systems
About this role
SpaceX seeks a Full Stack Software Engineer to develop mission-critical internal systems supporting launch operations and Starlink infrastructure. You'll own end-to-end software solutions used across the company, from manufacturing platforms to real-time data management systems, working collaboratively on high-impact problems.
What you'll do
- Develop reliable software solutions deployed across SpaceX operations
- Design and build new applications that improve company operations
- Create prototypes to validate design concepts and technical constraints
- Own all phases of software engineering from design through deployment
- Understand user problems deeply to develop efficient solutions
- Collaborate on architecture, design decisions, and code reviews
What they're looking for
- Full stack development (backend and frontend)
- Object-oriented programming (Python, C#.NET, Go, Java, or Scala)
- Single page application frameworks (React, Angular)
- Containerization and orchestration (Docker, Kubernetes)
- CI/CD, version control, and deployment automation
- Database design (PostgreSQL, SQL Server)
- Data streaming technologies (Kafka, RabbitMQ)
- System performance profiling and optimization
Benefits
- Comprehensive medical, vision, and dental coverage
- 401(k) retirement plan with company matching
- Stock options and employee stock purchase plan discounts
- 3 weeks paid vacation plus 10+ paid holidays annually
- Paid parental leave and disability insurance
- Potential discretionary bonuses and long-term incentives
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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 built from concept to production—what were the key technical decisions?
- How do you approach optimizing application performance when dealing with large datasets or high throughput systems?