Staff AI Infrastructure Engineer

Summary

Join SentinelOne as a Staff AI Infrastructure Engineer and build, automate, and manage AI infrastructure at scale. You will design and maintain systems for deploying AI models across cloud environments, automate infrastructure using Helm, ArgoCD, and Terraform, manage Kubernetes clusters, and implement CI/CD pipelines. Collaborate with engineering and product teams, monitor infrastructure health, and drive best practices. This role requires a degree in a related field or equivalent experience, 7+ years of relevant experience, and proficiency with infrastructure-as-code tools and Kubernetes. Exceptional candidates will have SRE experience and expertise in monitoring and logging tools. SentinelOne offers a competitive salary, benefits, and a collaborative work environment.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Previous experience as a Site Reliability Engineer (SRE), particularly in AI or ML contexts
• Monitoring and logging tools (Prometheus, Grafana, Datadog, Jaeger)
• Networking concepts and security best practices within cloud infrastructure
• Professional certifications in Kubernetes or cloud platforms (AWS, Azure, GCP)

Benefits

• Medical, Vision, Dental
• 401(k)
• Commuter
• Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid Company Holidays
• Paid Sick Time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events, including regular happy hours and team-building events