Description
You will join the team responsible for developing, deploying, and keeping connectivity services healthy end-to-end. On a given week you might trace a telemetry discrepancy from a cloud service through the ground system, script a new network test case, extend the continuous delivery (CD) pipeline that ships system health tooling, and write the procedure that lets the on-call engineer resolve the same issue next time without paging you. We expect the person in this seat to automate their own job continuously - to replace manual steps with tested code, and to leave behind procedures precise enough that someone else can execute correctly. You will work from design documents and interface control documents (ICDs), and you will be expected to reason through large, unfamiliar codebases on your own.
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, or Aerospace Engineering 5+ years of software engineering experience, including production Python Experience with developing automation of (preferred) satellite constellations or fleets of autonomous vehicles/drones Ability to independently navigate and reason about large, unfamiliar code repositories spanning both embedded and cloud-based software Hands-on fluency with Linux and Mac OS, cloud service APIs, modern command-line usage and HTTP tooling Experience working with CI and production CD pipelines for a software service Experience using design documents and ICDs as foundations for an operational service
Preferred Qualifications
Experience operating a satellite constellation in production, serving real users Embedded software development, and hands-on work with hardware in a lab environment Working knowledge of RF and DSP concepts, sufficient to reason about satellite system behavior Small, fast-moving space programs where operations engineers write and own the software they operate Experience leading, or serving as a core member of, a 24/7 operations team Building an SOP or runbook framework from scratch, not just executing an existing one Experience leveraging AI tools to quicky reason about and prototype new systems
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