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# Sr. Software Engineer, AI Infrastructure (Starshield)

- **Company:** Starlink Inc.
- **Location:** Hawthorne, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Bash Shell, Booting (BIOS), C++ (Programming Language), Information Systems, Databases, System Configuration, Continuous Integration, Data Centers, Linux, DevOps, Distributed Data Store, Make (Software), Python (Programming Language), Reliability Engineering, Ansible, AI Infrastructure, System Availability, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Bare Metal, Terraform, Oracle Cloud Infrastructure
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_845280b9ed01c533e6b9866c4def5caf

## About the Role

* Bachelor's degree in computer science, information systems/IT, or an engineering discipline and 5+ years of professional experience with Linux operating systems; OR 7+ years of professional experience in software, DevOps, or site reliability engineering in lieu of a degree
 * 5+ year of experience with Kubernetes
 * 5+ year of experience managing Linux operating systems
 * Experience with Terraform, Ansible, or other infrastructure tools
 * Experience with containerization technologies (i.e. OCI containers, Kubernetes)
 * Experience scripting in Bash, Python, or other similar languages
 * Development experience in Python, C++, or Go

PREFERRED SKILLS AND EXPERIENCE:

 * 5+ years of experience with Python and Python-based development frameworks
 * Experience managing Kubernetes clusters, not just using them
 * Knowledge of Linux boot process and systems configuration
 * Deep understanding of testing, continuous integration, build, deployment & continuous monitoring
 * Understanding of relevant build technologies, such as Bazel and Makefiles
 * Focus on performance bottlenecks and performance improvement techniques

## Description

* Manage GPU/CPU infrastructure deployments to Top Secret data centers
 * Manage and provide support for GPU as a service for external customers on bare metal hardware and virtualized platforms
 * Design, validate, and productize solutions for AI clusters (100k+ GPU scale)
 * Develop automation to deploy and manage on-premise Kubernetes\AI clusters, and operating systems
 * Deploy and manage core infrastructure such as databases, monitoring and distributed storage
 * Closely collaborate with AI engineers to create highly scalable, operable, and maintainable products
 * Engage in and improve the whole lifecycle of services -- from inception and design, through deployment, operation and refinement
 * Monitoring and alerting supporting systems to have high availability
 * Identify areas for improvement and create innovative solutions that enable high system availability
 * Mentor and train junior engineers
 * As a senior engineer you must lead the team to technical excellence - your decisions guide the team