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EngineeringOn-site

Staff Engineer, Cybersecurity Platform (R5531)

Shield AI · On-site

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Last seen by MeritLog September 9, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from Shield AI's Lever job board and last checked it on September 9, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$190,000 - $280,000
Location
Seattle, Washington

Hiring context

How this role compares at Shield AI

Shield AI has 480 live roles in MeritLog’s catalog across 12 job families, and 375 of them are in engineering. 376 of those listings publish a pay range, a disclosure rate of 78%.

This role's posted range of $190,000 - $280,000 sits above 74% of the 355 other Shield AI roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job 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: We are seeking an experienced Staff Cybersecurity Platform Engineer to engage in the design, implementation, and optimization of complex software and network infrastructures. This role requires deep expertise across network engineering, cybersecurity protocols, and server room / hardware infrastructure, with a strong ability to communicate and develop Base Media Solutions.  The ideal candidate will operate in a hands-on manner, serving as a technical expert and a key contributor in decision-making across network and infrastructure domains.

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