Staff AI Infrastructure Engineer

TLDR

Design and maintain AI infrastructure at scale, automating deployment and management while ensuring security and compliance for diverse cloud environments.

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

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. 

SentinelOne provides autonomous security solutions built on AI to protect organizations across endpoint, cloud, and identity environments. Our platform unifies threat prevention, detection, response, and forensics in a single, user-friendly system, enabling businesses to safeguard their assets against evolving cyber threats. Recognized as a leader in the industry, we cater to enterprises in various sectors, ensuring fast, effective defense against advanced attacks.

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Salary
$170,200 – $234,600 per year
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