Junior 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 cloud, hybrid, and edge environments. You will automate infrastructure, operate Kubernetes clusters, develop secure CI/CD pipelines, support MLOps initiatives, implement observability, enforce security practices, and contribute to incident response and disaster recovery planning. You will also create reusable modules and documentation and mentor other engineers.
Requirements
- 1–3 years of experience in DevOps, infrastructure engineering, software engineering, or a related technical role
- Familiarity with Docker and containerized application environments
- Hands-on experience or familiarity with Terraform, Pulumi, or Ansible
- Experience working with or learning AWS, Azure, or GCP
- Familiarity with CI/CD concepts and tools
- Programming or scripting experience with Python, Go, Bash, or similar languages
- Understanding of monitoring, logging, and observability
- Foundational understanding of cloud security, identity, permissions, and access management
- Familiarity with Git and modern software development workflows
- Troubleshooting, problem-solving, and communication 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 for AI and ML workloads
- Develop secure CI/CD pipelines with integrated security controls
- Support MLOps infrastructure, including model deployment automation 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
- Health, dental, and vision benefits
- 401(k) match
- Equity options
- $200/month health and wellness stipend
- Continuing education support
- $500/year Function Health subscription
- Free parking for in-office employees
- Flexible Time Off
- Parental leave for eligible employees
- Supplemental life insurance