Senior DevOps Engineer
webAI · Austin, TX · Grand Rapids, MI
Applied AIremotesenior
At a glance
Highlights
- Design secure infrastructure for distributed AI across cloud and edge environments.
- Drive reliability for large-scale AI models running on standard consumer hardware.
- Build a private, user-controlled platform that keeps enterprise data fully secure.
What they offer
- Competitive salary and performance-based incentives
- Comprehensive health, dental and vision benefits
- HSA option with $200/month company contribution
- 401k match
- Equity options
- Flexible PTO policy
- Parental leave for eligible employees
- Continuing education support
- Company-paid life insurance and disability
- Free parking for in-office employees
Ideal candidate
A seasoned infrastructure owner with 5-8+ years supporting production who thrives on resilient design and mentorship. You care about private, edge-based AI and turning complex needs into reliable systems.
Requirements
- 5-8+ years in DevOps, SRE or Infrastructure Engineering supporting production systems
- Strong expertise with Docker, Kubernetes and cloud-native architectures
- 3-5+ years hands-on Infrastructure as Code with Terraform, Pulumi, Ansible
- Experience with AWS, Azure or GCP compute, networking and managed services
- Proven experience building CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, ArgoCD
- 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
- remote policy
- hybrid
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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