Shield AI
Staff Cloud Engineer (R5801)
San Diego, CA · On-site · Staff
- Discipline
- Systems
- Industry
- Defense
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Hivemind Platform Division
Staff Cloud Engineer role focusing on building and operating Shield AI’s cloud infrastructure and environments to support software products and platforms. Hands-on, with emphasis on automation, reliability, and operational stability across AWS and development environments. No slogans; two-sentence spec-sheet tone.
Required
- AWS infrastructure
- infrastructure automation
- reliability
- operational stability
- troubleshoot problems across infrastructure and services
- design, build, and operate cloud infrastructure
- support platform services
- development and integration needs
Preferred
- experience with Shield AI products
- experience with VMs and shared development environments
- containerization
- CI/CD
- monitoring and incident response
Employer description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
Cloud Engineering builds and operates the infrastructure and environments that support Shield AI’s software products and platforms.
As a Staff Cloud Engineer, you will design, build, and operate the cloud infrastructure and environments used to develop, test, integrate, and host Shield AI’s software products and platforms. You will work across AWS infrastructure, shared development environments, and supporting platform services to improve how these systems are provisioned, operated, and maintained.
This is a hands-on engineering role focused on infrastructure automation, reliability, and operational stability. You will troubleshoot problems across infrastructure and services, improve existing systems, and work with engineering teams to build infrastructure that meets their development and integration needs.
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