Staff AI Infrastructure Engineer
Sentinel Labs
Staff AI Infrastructure Engineer
Job Description
Job ID: 6668305003
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.
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.
Locations
- United States, (Remote)
Salary
Salary details available upon request
320,000 - 550,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Helmintermediate
- ArgoCDintermediate
- Terraformintermediate
- Kubernetesintermediate
- GitHub Actionsintermediate
- Jenkinsintermediate
- AWSintermediate
- GCPintermediate
- Azureintermediate
- Azure OpenAIintermediate
- FedRAMPintermediate
- Pythonintermediate
- Bashintermediate
- Prometheusintermediate
- Grafanaintermediate
- Datadogintermediate
- Jaegerintermediate
- problem-solvingintermediate
- scriptingintermediate
- automationintermediate
Required Qualifications
- A degree in Computer Science, Information Technology, or related field, or equivalent practical experience (experience)
- 7+ years of experience managing scalable, secure, and resilient infrastructure for AI and machine learning applications (experience)
- Deep proficiency with infrastructure-as-code tools like Helm, Terraform and ArgoCD (experience)
- Extensive hands-on experience with Kubernetes for deploying containerized workloads (experience)
- Demonstrated experience with major cloud platforms (AWS, GCP, Azure), specifically with services related to AI model hosting (e.g., Azure OpenAI) (experience)
- Experience implementing and managing CI/CD pipelines (GitHub Actions, Jenkins) (experience)
- Familiarity with compliance frameworks, particularly FedRAMP, and security best practices (experience)
- Strong scripting and automation skills using Python, Bash, or similar languages (experience)
- Excellent problem-solving skills, creativity, and self-driven motivation (experience)
Preferred Qualifications
- Previous experience as a Site Reliability Engineer (SRE), particularly in AI or ML contexts (experience)
- Monitoring and logging tools (Prometheus, Grafana, Datadog, Jaeger) (experience)
- Networking concepts and security best practices within cloud infrastructure (experience)
- Professional certifications in Kubernetes or cloud platforms (AWS, Azure, GCP) (experience)
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
Benefits
- general: Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
- general: Unlimited PTO
- general: Industry-leading gender-neutral parental leave
- general: Paid Company Holidays
- general: Paid Sick Time
- general: Employee stock purchase program
- general: Disability and life insurance
- general: Employee assistance program
- general: Gym membership reimbursement
- general: Cell phone reimbursement
- general: Numerous company-sponsored events, including regular happy hours and team-building events
Tags & Categories
Answer 10 quick questions to check your fit for Staff AI Infrastructure Engineer @ Sentinel Labs.
Staff AI Infrastructure Engineer
Sentinel Labs
Staff AI Infrastructure Engineer
Job Description
Job ID: 6668305003
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.
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.
Locations
- United States, (Remote)
Salary
Salary details available upon request
320,000 - 550,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Helmintermediate
- ArgoCDintermediate
- Terraformintermediate
- Kubernetesintermediate
- GitHub Actionsintermediate
- Jenkinsintermediate
- AWSintermediate
- GCPintermediate
- Azureintermediate
- Azure OpenAIintermediate
- FedRAMPintermediate
- Pythonintermediate
- Bashintermediate
- Prometheusintermediate
- Grafanaintermediate
- Datadogintermediate
- Jaegerintermediate
- problem-solvingintermediate
- scriptingintermediate
- automationintermediate
Required Qualifications
- A degree in Computer Science, Information Technology, or related field, or equivalent practical experience (experience)
- 7+ years of experience managing scalable, secure, and resilient infrastructure for AI and machine learning applications (experience)
- Deep proficiency with infrastructure-as-code tools like Helm, Terraform and ArgoCD (experience)
- Extensive hands-on experience with Kubernetes for deploying containerized workloads (experience)
- Demonstrated experience with major cloud platforms (AWS, GCP, Azure), specifically with services related to AI model hosting (e.g., Azure OpenAI) (experience)
- Experience implementing and managing CI/CD pipelines (GitHub Actions, Jenkins) (experience)
- Familiarity with compliance frameworks, particularly FedRAMP, and security best practices (experience)
- Strong scripting and automation skills using Python, Bash, or similar languages (experience)
- Excellent problem-solving skills, creativity, and self-driven motivation (experience)
Preferred Qualifications
- Previous experience as a Site Reliability Engineer (SRE), particularly in AI or ML contexts (experience)
- Monitoring and logging tools (Prometheus, Grafana, Datadog, Jaeger) (experience)
- Networking concepts and security best practices within cloud infrastructure (experience)
- Professional certifications in Kubernetes or cloud platforms (AWS, Azure, GCP) (experience)
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
Benefits
- general: Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
- general: Unlimited PTO
- general: Industry-leading gender-neutral parental leave
- general: Paid Company Holidays
- general: Paid Sick Time
- general: Employee stock purchase program
- general: Disability and life insurance
- general: Employee assistance program
- general: Gym membership reimbursement
- general: Cell phone reimbursement
- general: Numerous company-sponsored events, including regular happy hours and team-building events
Tags & Categories
Answer 10 quick questions to check your fit for Staff AI Infrastructure Engineer @ Sentinel Labs.