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Jr DevOps Engineer

webAI · Austin, TX

CHECKED 18H AGO

Applied AIremotejunior$90k–$130k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build secure infrastructure for AI workloads across cloud and edge environments.
  • Help scale distributed AI platform running directly on consumer hardware.
  • Drive reliability and security for large-scale personalized AI deployments.

What they offer

  • Comprehensive health, dental, and vision benefits package
  • 401(k) match
  • Equity options
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription
  • Free parking for in-office employees
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees
  • Supplemental life insurance

Ideal candidate

A curious early-career engineer who loves automation, troubleshooting, and learning fast. Collaborative and ownership-driven, you care about private, scalable AI and resilient systems.

Requirements

  • 1–3 years of experience in DevOps, Infrastructure Engineering, Software Engineering, or related role
  • Familiarity with Docker and containerized environments; exposure to Kubernetes a plus
  • Hands-on experience or familiarity with Infrastructure as Code such as Terraform, Pulumi, or Ansible
  • Experience with or learning cloud platforms such as AWS, Azure, or GCP
  • 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 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 eagerness to learn
  • Strong communication skills and ability to collaborate with technical teams

Lab profile

About webAI

Building distributed, private AI infrastructure for personalized, edge-deployed enterprise and government AI.

What they build

  • Distributed AI infrastructure
  • End-to-end private AI platform

Known for

  • Distributed edge processing
  • Private and sovereign AI
  • Specialized enterprise intelligence
  • Efficient and sustainable models
More about webAI →
Apply on the lab’s site ↗