Staff AI Infrastructure Engineer, SentinelOne

• A degree in Computer Science, Information Technology, or related field, or equivalent practical experience
• 7+ years of experience managing scalable, secure, and resilient infrastructure for AI and machine learning applications
• Deep proficiency with infrastructure-as-code tools like Helm, Terraform and ArgoCD
• Extensive hands-on experience with Kubernetes for deploying containerized workloads
• Demonstrated experience with major cloud platforms (AWS, GCP, Azure), specifically with services related to AI model hosting (e.g., Azure OpenAI)
• Experience implementing and managing CI/CD pipelines (GitHub Actions, Jenkins)
• Familiarity with compliance frameworks, particularly FedRAMP, and security best practices
• Strong scripting and automation skills using Python, Bash, or similar languages
• Excellent problem-solving skills, creativity, and self-driven motivation

Desirable

• We’re seeking a Staff AI Infrastructure Engineer with deep expertise in building, automating, and managing AI infrastructure at scale
• You will be instrumental in designing and maintaining the systems essential for serving and deploying AI models efficiently and securely across diverse cloud environments
• Architect, build, and maintain scalable infrastructure to host and serve AI products and models reliably
• Automate infrastructure deployment and management using Helm, ArgoCD and Terraform
• Manage and optimize Kubernetes clusters to support high-performance AI workloads
• Implement and manage CI/CD pipelines utilizing GitHub Actions and Jenkins
• Ensure infrastructure compliance with security standards including FedRAMP and related guidelines
• Collaborate closely with AI engineering, product teams, and DevOps to meet infrastructure requirements
• Monitor infrastructure health and performance, implementing optimizations proactively
• Drive infrastructure best practices and mentor team members to foster technical excellence