DevOps Engineer – AI Infra on Cloud & Edge

Devopsroles; Austin (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision benefits

401(k) match

Equity options

Wellness stipend $200/mo

Continued Education support

$500/year Function Health subscription

Parental leave

Job summary

webAI is seeking a DevOps Engineer to design, build, and scale secure infrastructure for AI workloads across cloud and edge environments. You will collaborate with engineering teams to implement scalable, automated solutions that enable the AI platform to run efficiently in multi-cloud, hybrid, and edge deployments.

You will work on IaC pipelines, Kubernetes clusters, GPU scheduling, and secure CI/CD with integrated security controls, while mentoring peers and contributing to incident response

Qualifications

• 1–3 years in DevOps or related technical role.
• Familiarity with Docker; Kubernetes exposure is a plus.
• Hands-on with IaC tools such as Terraform, Pulumi, or Ansible.
• Experience with cloud platforms (AWS, Azure, GCP).
• Familiar with CI/CD concepts and tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD).
• Basic scripting in Python, Go, or Bash for automation.
• Understanding of monitoring, logging, and observability concepts.
• Foundational cloud security, IAM, permissions, and access management.
• Familiarity with Git and modern software development workflows.
• Strong troubleshooting and collaboration skills.

Responsibilities

• Design and implement secure, scalable multi-cloud and edge infra.
• Build IaC pipelines using Terraform, Pulumi, and Ansible.
• Deploy and manage AI-focused Kubernetes clusters with GPU support.
• Develop secure CI/CD pipelines with integrated security controls.
• Support MLOps infrastructure including model deployment and lifecycle.
• Implement observability with Prometheus, Grafana, ELK, or Datadog.
• Enforce security best practices across networks, IAM, and encryption.
• Contribute to incident response and disaster recovery planning.
• Create reusable infrastructure modules and runbooks.
• Mentor junior engineers on DevOps and infrastructure design.

Skills

Docker

Kubernetes

IaC (Terraform)

IaC (Pulumi)

IaC (Ansible)

AWS

Azure

GCP

CI/CD

GitHub Actions

Python

Go

Bash

Monitoring

Security best practices

IAM / cloud security

Git & workflows

Tools

Terraform

Pulumi

Ansible

GitHub

Kubernetes

Docker

Job description

webAI is seeking a DevOps Engineer to design, build, and scale secure infrastructure for AI workloads across cloud and edge environments. You will collaborate with engineering teams to implement scalable, automated solutions that enable the AI platform to run efficiently in multi-cloud, hybrid, and edge deployments.

You will work on IaC pipelines, Kubernetes clusters, GPU scheduling, and secure CI/CD with integrated security controls, while mentoring peers and contributing to incident response