Reliability Analyst (R5728)
Shield AI · On-site
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
- $95,680 - $143,520
- Location
- Dallas, Texas
Hiring context
How this role compares at Shield AI
Shield AI has 461 live roles in MeritLog’s catalog across 12 job families, and 24 of them are in data & analytics. 363 of those listings publish a pay range, a disclosure rate of 79%.
This role's posted range of $95,680 - $143,520 sits above 9% of the 342 other Shield AI roles quoted over the same currency and period.
Shield AI concentrates this hiring in:
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: Shield AI is seeking a Reliability Analyst to transform fleet failure, maintenance, and operational data into trusted insights that improve aircraft reliability, availability, and readiness. This role owns the reliability data and reporting foundation for the Aircraft Operations Division’s Sustainment and Product Health organization. The Reliability Analyst will establish accurate, traceable, and configuration-aware data; identify emerging failure trends and top fleet degraders; and provide Engineering, Quality, Fleet Support, and leadership with the information needed to prioritize corrective action. Success in this role means improving the quality and timeliness of reliability data, reducing manual reporting effort, giving stakeholders earlier visibility into recurring issues, and providing objective evidence that corrective actions are improving fleet performance. The Reliability Analyst owns the reliability data domain, including FRACAS data quality, failure and degrader trending, reliability and maintainability metrics, and reliability-specific reporting. The role partners with Reliability and Maintainability Engineering, Configuration and Change Control, Sustainment Analytics, Quality, Fleet Support, Material Review Board Engineering, and Obsolescence and Lifecycle Management. These teams retain ownership of technical investigations, configuration baselines, enterprise reporting, hardware dispositions, and lifecycle decisions.
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