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Staff Cloud Engineer (R5801)

Shield AI

Company websiteshield.ai (Shield AI, opens in new tab)

Base salary $182K  to $274K

Employer-published annual base salary, USD. Advertised base range in San Mateo, CA

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  • LocationSan Mateo, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

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. 

What You'll Do

  • Design, build, and operate AWS infrastructure and shared development and integration environments  
  • Build and maintain infrastructure using Terraform and other infrastructure-as-code tools  
  • Automate environment provisioning, configuration, lifecycle management, and other recurring infrastructure tasks  
  • Build and operate infrastructure supporting containerized applications and workloads  
  • Establish and improve observability across cloud infrastructure and supporting services  
  • Diagnose and resolve infrastructure and environment issues across products and platform services. 
  • Improve the reliability and consistency of shared environments and platform services. 
  • Partner with Cybersecurity, Infosec, and Enterprise Ops to implement infrastructure and access controls that meet security and compliance requirements  
  • Monitor resource utilization and identify opportunities to improve infrastructure cost and capacity  

Required Qualifications

  • Experience supporting shared cloud infrastructure across multiple products or engineering teams 
  • Experience with Kubernetes or other container orchestration platforms  
  • Experience with infrastructure as code tooling 
  • Experience designing automated or ephemeral environment lifecycle management  
  • Experience operating infrastructure in regulated or compliance-driven environments  
  • Experience implementing cloud IAM, access controls, and infrastructure security requirements  
  • Experience with AWS cost management, capacity planning, or resource optimization

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Source: Shield AI on Lever · View original posting (opens in new tab)

This range next to 6 other live Shield AI roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Shield AI roles with the nearest advertised base floor
RolePublished base
Staff Cloud Engineer (R5801) (this listing)$182K - $274K
Staff Engineer, Software - Autonomous Aircraft Integration (R4983)$182,720 - $274,080
Senior Staff Engineer, Environmental Control Systems (RX) (R5905)$180,800 - $271,200
Staff Engineer, FPGA Design (R5347)$180K - $280K
Staff Technical Program Manager, Propulsion (R4727)$180K - $280K
Technical Program Manager, Mission Autonomy - V-BAT (R6151)$180K - $270K
Sr. Manager, Enterprise Data (R6103)$180K - $270K

Same $100K to $400K scale as every card. All Shield AI roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-03
Where this pay comes from

Location as the employer wrote it: San Mateo, California

USD 182,000 – 274,000 · per-year-salary · salaryRange

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.