Applied AI Software Engineer – Starlink

SPACE EXPLORATION TECHNOLOGIES CORP; Redmond (WA); On-site; USD 125,000 - 175,000; Full time

Benefits offered by this job

Stock options

Long‑term incentives

Employee Stock Purchase Plan

Comprehensive medical, vision, dental

401(k) retirement plan

Paid parental leave

Paid vacation and holidays

Shuttle service

Job summary

SpaceX in Redmond, WA is seeking a Software Engineer for Applied AI (Starlink) to build and scale web and backend services in a .NET microservices architecture running on Kubernetes. You will develop high‑quality, responsive applications and contribute to the reliability of Starlink’s digital experience.

You will collaborate with UXSW and other teams to improve performance, monitor systems, and deliver robust solutions for customers globally, with an emphasis on data‑driven decisions and strong

Qualifications

• Bachelor’s degree or 1+ years in full‑stack software; or 3+ years without a degree (internships allowed).
• Experience in Python, C#, .NET, Go, Scala, or similar OO language.
• Production experience with Docker and Kubernetes.

Responsibilities

• Develop well‑architected, responsive, and performant web applications.
• Develop reliable systems for Starlink.
• Full stack development in a .NET micro‑service architecture in Kubernetes.
• Focus on monitoring and observability to guide data‑driven decisions.
• Collaborate with internal partners and other teams on architecture & reviews.

Skills

Python

C#

Go

Scala

Java

Object‑oriented programming

Performance profiling

UNIX‑like OS

CI/CD

Education

Bachelor's degree in CS or STEM

Tools

Docker

Kubernetes

Make/Bazel/Gradle

Pip/NPM

Git

Job description

SpaceX in Redmond, WA is seeking a Software Engineer for Applied AI (Starlink) to build and scale web and backend services in a .NET microservices architecture running on Kubernetes. You will develop high‑quality, responsive applications and contribute to the reliability of Starlink’s digital experience.

You will collaborate with UXSW and other teams to improve performance, monitor systems, and deliver robust solutions for customers globally, with an emphasis on data‑driven decisions and strong