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Staff AI Infrastructure Engineer

SentinelOne

Staff AI Infrastructure Engineer

SentinelOne

United States - Remote

·

Remote

·

Full-time

·

1w ago

Compensation

$170,200 - $234,600

Benefits & Perks

Healthcare

Vision

Dental

401(k)

Commuter Benefits

Unlimited PTO

Parental Leave

Paid Sick Time

Equity

Gym

Mental Health

Healthcare

401k

Commuter

Unlimited Pto

Parental Leave

Equity

Gym

Mental Health

Required Skills

Kubernetes

Infrastructure-as-code

Python

Bash

Cloud platforms

CI/CD

Security

About Us

At Sentinel One, 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**
Sentinel One 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.

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

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About SentinelOne

SentinelOne

Cybersecurity company.

1001-5000

Employees

Mountain View

Headquarters

$1.1B

Valuation

Reviews

3.9

15 reviews

Work Life Balance

3.8

Compensation

3.2

Culture

3.5

Career

3.4

Management

3.6

65%

Recommend to a Friend

Pros

Remote-first company with flexible work arrangements

Competitive compensation packages and equity upside

Strong stock performance and IPO success

Cons

Recent layoffs affecting company morale

Stock price stagnation despite cost-cutting measures

Compensation offers sometimes below market standards

Salary Ranges

67 data points

Junior/L3

Junior/L3 · Solution Architect

0 reports

$286,425

total / year

Base

-

Stock

-

Bonus

-

$243,461

$329,389

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

80%

Experience

Positive 20%

Neutral 60%

Negative 20%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Hiring Manager Interview

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience