Senior DevOps Engineer
webAI is an Austin-based sovereign AI company developing local-first, specialized AI systems that organizations can build, deploy, and operate on infrastructure they own.
Projects
About webAI
webAI provides collaborative intelligence software centered on the webAI App, specialized Personas, and its Intelligence Delivery Network. Its platform is designed to keep intelligence close to organizational data and hardware, support private and specialized models, and enable teams to build, share, and improve AI without relying exclusively on centralized cloud systems.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and scale secure infrastructure for AI workloads across multi-cloud, hybrid, and edge environments. You will automate infrastructure delivery, operate Kubernetes clusters, develop secure CI/CD pipelines, support MLOps initiatives, and improve observability, reliability, security, and disaster recovery. You will also create reusable modules and documentation and mentor engineers on DevOps practices.
Requirements
- 5–8+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering supporting production systems
- Expertise with Docker, Kubernetes, and cloud-native architectures
- 3–5+ years of hands-on Infrastructure as Code experience with Terraform, Pulumi, or Ansible
- Experience with AWS, Azure, or GCP compute, networking, and managed services
- Experience building and maintaining CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, or ArgoCD
- Programming experience in Python, Go, or Bash for automation
- Experience implementing production monitoring and observability
- Understanding of cloud security best practices and access management
- Communication and cross-functional collaboration skills
Responsibilities
- Design and implement secure, scalable infrastructure across multi-cloud, hybrid, and edge environments
- Build and maintain infrastructure as code using GitOps workflows and automated validation
- Deploy and operate Kubernetes clusters optimized for AI and ML workloads
- Develop secure CI/CD pipelines with integrated security controls
- Support MLOps infrastructure initiatives, including model deployment automation, versioning, and lifecycle management
- Implement observability and monitoring frameworks
- Enforce IAM, encryption, network segmentation, and compliance automation practices
- Participate in incident response, reliability improvements, postmortems, and disaster recovery planning
- Develop reusable infrastructure modules and documentation
- Mentor junior and mid-level engineers on DevOps practices and infrastructure design
Benefits
- Comprehensive health, dental, and vision benefits
- High-deductible HSA option with company contribution
- 401k match for US-based employees
- Flexible PTO policy
- Parental leave for eligible employees
- Continuing education support
- Company-paid basic life insurance
- Supplemental life insurance
- Company-paid short- and long-term disability insurance
- Free parking for in-office employees