Senior DevOps Engineer

webAI•Austin, TX

About The Position

webAI is seeking a Senior DevOps Engineer to design, build, and scale secure infrastructure supporting AI workloads across cloud and edge environments. This high-impact individual contributor role contributes to infrastructure architecture, platform reliability, and security best practices across the organization. The engineer will collaborate with engineering teams to deliver scalable, automated infrastructure that supports the AI platform across public cloud, hybrid, and edge deployments, translating complex requirements into resilient infrastructure systems. The company is developing a secure, scalable, user-controlled AI platform for deploying large-scale AI models on standard consumer hardware while keeping company data and intellectual property private. webAI emphasizes truth, ownership, tenacity, and humility in its team culture.

Requirements

5–8+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering supporting production systems.
Strong expertise with Docker, Kubernetes, and cloud-native architectures.
3–5+ years of hands-on experience implementing Infrastructure as Code with Terraform, Pulumi, or Ansible.
Experience working with AWS, Azure, or GCP, including compute, networking, and managed services.
Proven experience building and maintaining CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, or ArgoCD.
Programming experience in Python (preferred), Go, or Bash for automation.
Experience implementing monitoring and observability in production environments.
Strong understanding of cloud security best practices and access management.
Strong communication skills and ability to collaborate cross-functionally.

Nice To Haves

Exposure to multi-cloud or hybrid cloud environments.
Experience supporting AI/ML or MLOps workflows.
Familiarity with service mesh technologies such as Istio or Linkerd.
Experience with edge computing or distributed systems.
Understanding of cost optimization and cloud efficiency practices.
Relevant certifications, such as CKA, AWS Solutions Architect, or Terraform Associate.

Responsibilities

Design and implement secure, scalable infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments.
Build and maintain Infrastructure as Code using Terraform, Pulumi, or Ansible, with GitOps workflows and automated validation.
Deploy and operate Kubernetes clusters optimized for AI/ML workloads, including GPU scheduling and container security best practices.
Develop secure CI/CD pipelines with integrated security controls, including SAST, DAST, vulnerability scanning, and secrets management.
Support MLOps infrastructure initiatives, including model deployment automation, versioning, and lifecycle management.
Implement observability and monitoring frameworks using tools such as Prometheus, Grafana, ELK, or Datadog.
Enforce security best practices, including IAM, encryption, network segmentation, and compliance automation.
Participate in incident response, reliability improvements, postmortems, and disaster recovery planning.
Develop reusable infrastructure modules and documentation, including runbooks, architecture documents, and standards.
Mentor junior and mid-level engineers on DevOps best practices and infrastructure design.

Benefits

Competitive salary and performance-based incentives.
Comprehensive health, dental, and vision benefits package.
High-deductible HSA option with company contribution.
401k match for U.S.-based employees.
Flexible PTO policy.
Parental leave for eligible employees.
Continuing education support.
Basic company-paid life insurance.
Supplemental life insurance.
Company-paid short- and long-term disability.
Free parking for in-office employees. Benefits generally apply to U.S.-based employees; benefits for employees hired outside the United States may vary based on local law, country-specific requirements, and the employment platform or entity.