FreshRemote.Work

Staff AI Infrastructure Engineer

United States - Remote

About Us

At SentinelOne, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats.

From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We’re looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you’re excited about solving complex challenges in bold, innovative ways, we’d love to connect with you.

What are we looking for?

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.

What will you do?

As a Staff AI Infrastructure Engineer, you’ll join our globally distributed team to:

  • 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.

What skills and experience should you bring?

We are looking for an experienced infrastructure engineer who has:

  • 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.

Exceptional candidates will also bring expertise in:

  • 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).

Why Us?

You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry.

  • 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
This U.S. role has a base pay range that will vary based on the location of the candidate.  For some

locations, a different pay range may apply.  If so, this range will be provided to you during the recruiting

process.  You can also reach out to the recruiter with any questions.

Base Salary Range$170,200—$234,600 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles. 

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Job Profile

Regions

North America

Countries

United States

Benefits/Perks

401(k) Cell phone reimbursement Commuter Company events Company-sponsored events Cutting-edge company Dental Dependent FSA Disability and life Disability and Life Insurance Disability Insurance Employee Assistance Program Employee Stock Purchase Employee Stock Purchase Program Extraordinary challenges Gender-neutral parental leave Gym Membership Reimbursement Gym reimbursement Hands-on experience Health and Dependent FSA Insurance Life Insurance Medical Medical, Vision, Dental Paid company holidays Paid holidays Paid sick time Parental leave Sick time Stock Purchase Program Unlimited PTO Vision

Tasks
  • Architect and maintain scalable AI infrastructure
  • Automate infrastructure deployment
  • Collaborate with teams
  • Ensure security compliance
  • Implement CI/CD pipelines
  • Manage Kubernetes clusters
  • Mentor team members
  • Monitor infrastructure performance
  • Tools
Skills

AI Ai infrastructure AI models ArgoCD Automation AWS Azure Bash CI CI/CD CI/CD pipelines Cloud Cloud Infrastructure Cloud platforms Compliance Compliance frameworks Cybersecurity Data DevOps Engineering FedRAMP GCP GitHub GitHub Actions Grafana Helm Information Technology Infrastructure Innovation Jenkins Kubernetes Logging Machine Learning ML Monitoring Networking Problem-solving Prometheus Python Recruiting Scripting Security Security Compliance SRE Technical Terraform

Experience

7 years

Education

Computer Science Cybersecurity Engineering Information Technology Related Field

Certifications

AWS Certification Azure Certification FedRAMP GCP Certification Kubernetes Certification

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9