Senior Cloud Engineer - AWS, Terraform & Flexible Hours

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

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.