21 hours ago
Base Salary
$90k - $130k/yr
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 optimized 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 initiatives including model deployment automation, versioning, and lifecycle management.
- Implement observability and monitoring using Prometheus, Grafana, ELK, or Datadog.
- Enforce IAM, encryption, network segmentation, and compliance automation best 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
- Requires 1–3 years of experience in DevOps, infrastructure engineering, software engineering, or a related technical role.
- Familiarity with Docker and containerized application environments; Kubernetes exposure is a plus.
- Hands-on experience or familiarity with Terraform, Pulumi, or Ansible.
- Experience with or willingness to learn AWS, Azure, or GCP, including compute, networking, and managed services.
- Familiarity with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or ArgoCD.
- Basic programming or scripting experience with Python, Go, Bash, or similar languages.
- Understanding of monitoring, logging, observability, cloud security, identity, permissions, and access management.
- Familiarity with Git and modern software development workflows.
- Preferred exposure to Kubernetes, other container orchestration technologies, Infrastructure as Code, multi-cloud or hybrid environments, AI/ML or MLOps infrastructure, edge computing, distributed systems, cloud cost optimization, or service mesh technologies such as Istio or Linkerd.
- Relevant entry-level or associate certifications such as AWS Certified Cloud Practitioner, AWS Solutions Architect – Associate, Azure Fundamentals, or Terraform Associate are preferred.
Benefits
- Competitive salary.
- Comprehensive health, dental, and vision benefits for U.S.-based employees, with benefits varying for employees hired outside the United States.
- 401(k) match, equity options, and supplemental life insurance.
- $200/month Health & Wellness stipend.
- Continuing Education support and a $500/year Function Health subscription.
- Free parking for in-office employees.
- Flexible Time Off and parental leave for eligible employees.
Tech Stack
AnsibleAWSAzureBashDatadogDockerGitGitHub 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.