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WebAI

Jr DevOps Engineer

Austin, TX (Remote)$90k–$130kfulltimeentryAdded today

About this role

webAI seeks a Jr DevOps Engineer to design and manage secure, scalable infrastructure for AI workloads across cloud and edge environments. You'll implement Infrastructure as Code, deploy Kubernetes clusters, build CI/CD pipelines, and collaborate with engineering teams to support a distributed AI platform.

What you'll do

  • Design and deploy secure infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments
  • Build and maintain Infrastructure as Code using Terraform, Pulumi, or Ansible with GitOps workflows
  • Deploy and optimize Kubernetes clusters for AI/ML workloads with GPU scheduling and security hardening
  • Develop CI/CD pipelines with integrated security controls and vulnerability scanning
  • Implement observability and monitoring using Prometheus, Grafana, ELK, or Datadog
  • Support incident response, disaster recovery planning, and reliability improvements

What they're looking for

  • Docker and containerization
  • Kubernetes or container orchestration
  • Infrastructure as Code (Terraform, Pulumi, Ansible)
  • Cloud platforms (AWS, Azure, GCP)
  • CI/CD tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
  • Python, Go, Bash, or similar scripting languages
  • Monitoring and observability tools
  • Cloud security and identity management

Benefits

  • Competitive salary
  • Comprehensive health, dental, and vision coverage
  • 401(k) match and equity options
  • $200/month health and wellness stipend
  • Flexible time off and continuing education support
  • Free parking for in-office employees
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WebAI

WebAI builds AI infrastructure and platform solutions that help enterprises deploy and optimize machine learning systems at scale. The company is hiring Design Engineers, Software Engineers, Data Platform Engineers, Forward Deployed Engineers, and AI Software Engineers to develop everything from web experiences and AI prototypes to data connectors and distributed infrastructure.

View all jobs at WebAI

Likely interview questions

  • Walk us through a Kubernetes deployment you've built or worked with—what challenges did you face and how did you solve them?
  • Describe your experience with Infrastructure as Code. Which tool have you used, and how did you ensure code quality and reusability?
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