Senior DevOps Engineer
webAI · Austin, TX
Applied AIremotesenior
At a glance
Highlights
- Design secure infrastructure powering distributed AI across cloud and edge.
- Enable large-scale AI models to run privately on standard hardware.
- Drive reliability and security for next-generation personalized AI.
What they offer
- Competitive salary and performance-based incentives
- Comprehensive health, dental and vision benefits
- HSA with company contribution and 401k match
- Flexible PTO policy and parental leave
- Continuing education support
- Company-paid life insurance and disability coverage
Ideal candidate
Seasoned infrastructure builder who thrives on ownership and complex distributed challenges. You care deeply about security, reliability, and bringing private, personalized AI to the edge.
Requirements
- 5-8+ years in DevOps, SRE or Infrastructure Engineering
- Strong expertise with Docker, Kubernetes and cloud-native architectures
- 3-5+ years with Infrastructure as Code using Terraform, Pulumi or Ansible
- Experience with AWS, Azure or GCP compute, networking and managed services
- Proven experience building CI/CD pipelines
- Programming experience in Python, Go or Bash for automation
- Experience implementing monitoring and observability in production
- Strong understanding of cloud security best practices and access management
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
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