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Posted 2 mo agoFirst seen 24 d ago
Staff Cloud Engineer (R5801)
Posted by Shield AI on 3 September 2026, 61 days ago. Still on their Lever board when we checked 18 min ago. Half of Shield AI's roles come down within 46 days.
What the posting is about
Design, build, and operate cloud infrastructure for Shield AI's software products and platforms. Improve infrastructure automation, reliability, and operational stability. Collaborate with engineering teams to meet development and integration needs.
Read out of the posting
Levelstaff
Experience asked5+ years
EmploymentNot stated
LocationSan Diego, California
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-03
Found vialever, direct from their system
We saw it 1 month after it went up.
The posting, as the company wrote it
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.
Copied from Shield AI’s own board, not rewritten.
Also open at Shield AI
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