Staff AI Platform Engineer, Infrastructure Services
SentinelOne · United States - Remote
Posted about 3 months ago
or apply directly on SentinelOne's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 84 days SentinelOne's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 0% of SentinelOne's roles list one
- Ghost-job risk at SentinelOne
- high 224 stale, 3 reposted of 224 open
- Hiring momentum
- 339 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-30
Measured from postings appearing on and disappearing from SentinelOne's own greenhouse board since 2026-08-03. Full hiring picture for SentinelOne.
About this role
As a Staff AI Platform Engineer in Infrastructure Services at SentinelOne, you will take ownership of the AI Gateway infrastructure, focusing on its architecture, reliability, and incident response. Your role involves designing solutions that integrate with the broader platform stack, mentoring other engineers, and evaluating AI developer tooling. You will also partner with cross-functional teams to ensure the gateway meets their needs and support the lifecycle of AI models.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SentinelOne as an employer.
What you need
- 8 or more years of experience in platform, infrastructure, or DevOps engineering
- Hands-on experience with API gateway technologies (Kong, Envoy, Apigee, or similar)
- Strong Kubernetes and GitOps experience (ArgoCD or comparable)
- Solid CI/CD background: Jenkins pipeline design and administration
- Experience with artifact and package management systems (Artifactory, Xray, or similar)
- Working knowledge of infrastructure-as-code (Terraform) and cloud platforms (AWS/EKS)
Nice to have
- Experience operating LLM/AI-assisted developer tooling at scale
- Familiarity with Okta/OIDC and enterprise auth patterns
- Experience with engineering productivity metrics tooling
- Experience with vector databases and RAG pipelines
- Exposure to model fine-tuning or lightweight training pipelines
What you get
- Restricted Stock Units (RSUs)
- Employee Stock Purchase Plan (ESPP)
- Flexible time off
- Paid company holidays and paid sick time
- Gender-neutral parental leave
- Grandparent leave
Worth weighing
- No specific mention of team size or structure
- Role has significant scope and minimal day-to-day oversight, which may require self-motivation
- Base salary range provided but varies by location, which may affect compensation expectations
Summarised from SentinelOne's posting. Read the full original.
Listed by SentinelOne on their greenhouse job board, last confirmed open on 2026-10-30. PitchMeAI is not the employer.
More roles at SentinelOne
- Principal AI Engineering ArchitectUnited States - Remote
- Future Opportunity: Sales Development Representative META (Arabic Speaker)Amsterdam, North Holland, Netherlands
- Staff Forward Deploy Engineer (Fullstack - Java/React)United States - Remote
- Staff Windows Low Level C++ Engineer - Endpoint securityItaly
- Future Opportunity: Enterprise Sales RepresentativeUnited States - Remote
- Future Opportunity: Sales Development Representative META (Arabic Speaker)Dubai, Dubai, United Arab Emirates
- Senior Solutions Engineer - PromptIsrael
- Staff Windows Low Level C++ Engineer - Endpoint securitySpain