23 days ago
Responsibilities
- Design and implement secure, scalable infrastructure across AWS, Azure, GCP, hybrid, and edge environments.
- Build and maintain Infrastructure as Code using Terraform, Pulumi, and Ansible with GitOps workflows and automated validation.
- Deploy and operate Kubernetes clusters for AI/ML workloads, including GPU scheduling and container security.
- Develop secure CI/CD pipelines with SAST, DAST, vulnerability scanning, and secrets management.
- Support MLOps infrastructure, including model deployment automation, versioning, and lifecycle management.
- Implement monitoring and observability using Prometheus, Grafana, ELK, or Datadog.
- Enforce IAM, encryption, network segmentation, and compliance automation practices.
- Participate in incident response, reliability improvements, postmortems, and disaster recovery planning.
- Develop reusable infrastructure modules, runbooks, architecture documentation, and standards.
- Mentor junior and mid-level engineers on DevOps practices and infrastructure design.
Requirements
- 5–8+ years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering supporting production systems.
- 3–5+ years of hands-on experience implementing Infrastructure as Code with Terraform, Pulumi, and Ansible.
- Strong expertise with Docker, Kubernetes, and cloud-native architectures.
- Experience with AWS, Azure, or GCP, including 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, with Python preferred.
- Experience implementing monitoring and observability in production environments.
- Strong understanding of cloud security best practices and access management.
- Strong communication and cross-functional collaboration skills.
- Preferred qualifications include multi-cloud or hybrid cloud experience; AI/ML or MLOps support; Istio or Linkerd familiarity; edge computing or distributed systems experience; cloud cost optimization knowledge; and certifications such as CKA, AWS Solutions Architect, or Terraform Associate.
Benefits
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision benefits, including a high-deductible HSA option with a $200/month company contribution.
- 401k match for U.S.-based employees.
- Equity options, flexible PTO, parental leave, continuing education support, and basic company-paid life insurance.
- Supplemental life insurance and company-paid short- and long-term disability.
- Free parking for in-office employees.
- Hybrid position in Austin, Texas, or Grand Rapids, Michigan; benefits may vary for employees outside the United States.
Tech Stack
AnsibleAWSAzureBashDatadogDockerGitHub ActionsGitLab CI/CDGoGoogle Cloud PlatformGrafanaIstioJenkinsKubernetesPrometheusPythonTerraform
Categories
About webAI
webAI builds an end-to-end platform for training, deploying, and operating private AI models on infrastructure customers control, including edge devices. It sells enterprise software and developer SDKs/APIs used by public-sector, defense, aviation, and manufacturing teams to run specialized models with data sovereignty. Founded in 2020 and headquartered in Austin, Texas, the privately held company focuses on distributed AI/LLM infrastructure across local and cloud environments.