Staff Cloud Engineer

Shield AI; San Diego (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Excellent Medical Coverage

Paid Parental Leave

Stock Benefits

401K Services and Match

Onsite Gym (DC)

Job summary

Shield AI is seeking a Staff Cloud Engineer to design, build, and operate the cloud infrastructure used to develop, test, integrate, and host its software products. The role focuses on infrastructure automation, reliability, and operational stability across AWS, shared development environments, and platform services.

You will work across Kubernetes and containerized workloads, implement cost optimization, and collaborate with Cybersecurity and Enterprise Ops to enforce security controls.

Qualifications

• Experience supporting shared cloud infrastructure across multiple products or engineering teams.
• Experience implementing cloud IAM, access controls, and infrastructure security requirements.
• Experience with AWS cost management, capacity planning, or resource optimization.
• Experience with infrastructure as code tooling.

Responsibilities

• Design, build, and operate the cloud infrastructure and environments used to develop, test, integrate, and host Shield AI’s software products and platforms.
• Build and operate infrastructure using Terraform and other IaC tools.
• Automate environment provisioning, configuration, lifecycle management, and other recurring tasks.
• Establish and improve observability across cloud infrastructure and supporting services.
• Partner with Cybersecurity and Enterprise Ops to implement infrastructure and access controls meeting security requirements.

Skills

Cloud infrastructure

IAM & security

Cost optimization

Kubernetes

IaC tooling

Regulated environments

Tools

Terraform

AWS

Kubernetes

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
• 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

Benefits

• Excellent Medical Coverage
• Mental Health Employee Assistance Program
• Paid Parental Leave
• Pet Insurance
• Flexible Work Hours
• Onsite Gym (DC)
• Gym Discount (San Diego)
• Free Parking
• Competitive Compensation
• Stock Benefits
• 401K Services and Match

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