This position will be hybrid in Austin Texas or Grand Rapids Michigan.
Responsibilities
Design and implement secure, scalable infrastructure across multi-cloud (AWS, Azure, GCP), hybrid, and edge environments
Build and maintain Infrastructure as Code (Terraform, Pulumi, Ansible) using 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 (SAST, DAST, vulnerability scanning, 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 (runbooks, architecture docs, standards)
Mentor junior and mid-level engineers on DevOps best practices and infrastructure design
Qualifications
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 (Terraform, Pulumi, Ansible)
Experience working with AWS, Azure, or GCP including compute, networking, and managed services
Proven experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, 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
Preferred Skills
Exposure to multi-cloud or hybrid cloud environments
Experience supporting AI/ML or MLOps workflows
Familiarity with service mesh technologies (Istio, Linkerd)
Experience with edge computing or distributed systems
Understanding of cost optimization and cloud efficiency practices
Relevant certifications (CKA, AWS Solutions Architect, Terraform Associate, etc.)
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
Truth - Emphasizing transparency and honesty in every interaction and decision.
Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.
Benefits
We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
Competitive salary and performance-based incentives
Comprehensive health, dental, and vision benefits package
Including a high-deductible HSA option with $200/month company contribution
401k match (US-based only)
Equity options
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
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
