Jr DevOps Engineer — AI Infra & Edge Deployments

webAI; Austin (TX); On-site; USD 120,000 - 170,000; Full time

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 to implement scalable automation supporting our AI platform in cloud, hybrid, and edge deployments.

You will help drive reliability, platform security, and infrastructure as code practices, mentoring others and improving runbooks and standards across the team.

Qualifications

• 1–3 years of experience in DevOps, Infrastructure Engineering, Software Engineering, or a related technical role
• Familiarity with Docker and containerized application environments; exposure to Kubernetes is a plus
• Hands-on experience or familiarity with Infrastructure as Code tools such as Terraform, Pulumi, or Ansible
• Experience working with or learning cloud platforms such as AWS, Azure, or GCP, including basic compute, networking, and managed services
• Familiarity with CI/CD concepts and tools such as GitHub Actions, GitLab CI, Jenkins, or ArgoCD
• Basic programming or scripting experience with Python, Go, Bash, or similar languages for automation
• Understanding of monitoring, logging, and observability concepts
• Foundational understanding of cloud security, identity, permissions, and access management
• Familiarity with Git and modern software development workflows
• Strong troubleshooting and problem-solving skills with an eagerness to learn
• Strong communication skills and ability to collaborate with developers and other technical teams

Responsibilities

• Design and implement secure, scalable infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments
• Build and maintain Infrastructure as Code (Terraform, Pulumi, Ansible) using GitOps workflows and automated validation
• Deploy and operate Kubernetes clusters optimized for AI/ML workloads, including GPU scheduling and container security best practices
• Develop secure CI/CD pipelines with integrated security controls (SAST, DAST, vulnerability scanning, secrets management)
• Support MLOps infrastructure initiatives including model deployment automation, versioning, and lifecycle management
• Implement observability and monitoring frameworks using tools such as Prometheus, Grafana, ELK, or Datadog
• Enforce security best practices including IAM, encryption, network segmentation, and compliance automation
• Participate in incident response, reliability improvements, postmortems, and disaster recovery planning
• Develop reusable infrastructure modules and documentation (runbooks, architecture docs, standards)
• Mentor junior and mid-level engineers on DevOps best practices and infrastructure design

Skills

Docker

Kubernetes

Terraform

Pulumi

Ansible

Python

CI/CD

AWS

Azure

GCP

GitHub Actions

Tools

Terraform

Pulumi

Ansible

GitHub Actions

Jenkins

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 to implement scalable automation supporting our AI platform in cloud, hybrid, and edge deployments.

You will help drive reliability, platform security, and infrastructure as code practices, mentoring others and improving runbooks and standards across the team.