Staff AI Infrastructure Engineer

August 3

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SentinelOne

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Cybersecurity • Artificial Intelligence • SaaS

SentinelOne is a leader in autonomous cybersecurity, known for its innovative use of AI across endpoint, cloud, and identity protection solutions. It is recognized by Gartner as a leader in the Magic Quadrant for Endpoint Protection Platforms for four consecutive years. SentinelOne's Singularity platform integrates enterprise security, offering features like AI-powered threat detection, endpoint and cloud security, vulnerability management, and threat intelligence. The company supports various industries by delivering real-time protection and operational efficiency while leveraging AI for advanced threat hunting and log analytics. With a strong focus on reducing risk and enhancing security performance, SentinelOne caters to enterprises worldwide with secure, scalable solutions.

1001 - 5000 employees

Founded 2013

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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.

🎯 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. • 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