Staff Cloud Engineer (R5801)

Shield AI is hiring a Staff Cloud Engineer (R5801) in San Diego, United States. It pays $150k-$280k a year and Level rates it ; you can apply on Shield AI.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classes it as a lead role.
Shield AI has 663 other open roles on Level.

AI in this role

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

#LI-DM2 #LD
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. ### 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.

How we rate this

Staff Cloud Engineer (R5801) at Shield AI rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.