Company:
Vast
Location: Long Beach
Closing Date: 22/10/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Vast is looking for a Staff Software Engineer , reporting to the Senior Software Manager, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations. The Staff Software Engineer will be an integral part of the development of the systems that will be required to fly artificial-gravity human-rated space stations.
This will be a full-time, exempt position located in our Long Beach location.
Responsibilities:
- Develop new and optimize existing software codebases and systems which will be used to test, command, and monitor the Vast family of spacecraft
- Mentor junior ground software engineers to help build a strong and capable team
- Own the lifecycle of software, including rolling out to operations, managing configurations, maintaining and upgrading, and supporting end-users
- Configure and optimize automated testing and deployment systems
- Maintain and upgrade the ground systems that control our test sites and communicate with our spacecraft at the launch site and on orbit
Minimum Qualifications:
- Bachelor's degree in engineering, computer science, or STEM discipline; OR 9+ years of professional experience as a software engineer
- 7+ years experience writing full-stack web applications
- Experience writing and securing REST APIs
- Experience with database design, implementation, and security
Preferred Skills & Experience:
- Proficiency using the command line, writing shell scripts, and an understanding of the GNU/Linux operating system
- Experience building applications in the cloud
- Enjoys end-user facing roles for support and interfacing with cross-functional teams
- Ability to work quickly and accurately in fast-paced environment during critical launch and mission operations
- Excellent communicator, both written and verbal
- Familiarity with Git
- Collaborative mindset
- Problem solver with a bias for action
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