Staff AI Platform Engineer

🔥 2 hours ago

🇺🇸 United States – Remote

💵 $156k - $215k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

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SentinelOne

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SentinelOne is a leader in autonomous cybersecurity, known for its innovative use of AI across endpoint, cloud, and identity protection solutions. It is recognized by Gartner as a leader in the Magic Quadrant for Endpoint Protection Platforms for four consecutive years. SentinelOne's Singularity platform integrates enterprise security, offering features like AI-powered threat detection, endpoint and cloud security, vulnerability management, and threat intelligence. The company supports various industries by delivering real-time protection and operational efficiency while leveraging AI for advanced threat hunting and log analytics. With a strong focus on reducing risk and enhancing security performance, SentinelOne caters to enterprises worldwide with secure, scalable solutions.

📋 Description

• Design, build, and operate components of the AI Gateway including centralized identity and authentication/authorization, token budgeting, DLP and content guardrails, multi-model routing and failover, MCP allow-listing, and request-level audit logging. • Build and maintain pieces of the Harness layer including agent orchestration (LangGraph or equivalent), prompt construction and context management, memory and state handling across multi-turn interactions, and model abstraction across providers such as AWS Bedrock and Google Vertex. • Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered components, and contribute to the React/TypeScript surfaces that expose platform capabilities to internal teams. • Implement MCP/tool wiring for internal and SaaS-embedded agents, ensuring every caller regardless of origin passes through the same policy controls. • Contribute to the Claude and Gemini Enterprise plugin framework by building, testing, and hardening role-based skills and agents, and help mature the pipeline for how plugins are authored, evaluated, and deployed. • Instrument the platform for observability including metrics, tracing, and audit trails, and participate in on-call and operational support for platform services. • Write clear technical documentation and participate in architecture and code reviews, holding a high bar for quality, security, and maintainability. • Partner with engineers across Enterprise Data, Enterprise Apps, Product Development, and Infosec to integrate the platform with governed data sources and shared architectural contracts. • Work with the Sr. Director and model evaluation tooling to help close the loop between evaluation results and model selection, prompt tuning, and routing decisions.

🎯 Requirements

• Hands-on experience building production services that sit in front of multiple consumers such as an API gateway, internal platform, or data platform, with real exposure to authentication/authorization, rate limiting, observability, or audit logging; direct AI and LLM platform experience is a strong plus but not required. • Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with a working understanding of how context windows, memory, and tool-calling actually behave in production, not just conceptually. • 5 or more years of professional software engineering experience; with experience building or operating AI and ML infrastructure in a production environment. • Strong Python skills, ideally with FastAPI, and comfort picking up frameworks like pydantic.ai for LLM-powered components; working familiarity with React and TypeScript is a plus. • Exposure to or curiosity about the Model Context Protocol (MCP) and the challenges of governing tool access for agents operating across enterprise systems. • Familiarity with enterprise AI deployments such as Claude Enterprise (Anthropic) or Gemini Enterprise is a plus, including how they are administered and how access and policy controls work. • Solid software engineering fundamentals including clean, tested, production-grade code, strong API design skills, and the ability to give and receive feedback well in code and architecture reviews. • Comfort operating in a fast-moving, still-forming platform environment where you are energized by ambiguity and enjoy turning a rough architecture into working, reliable infrastructure.

🏖️ Benefits

• 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 • Medical, dental, and vision coverage • 401(k) retirement plan with company match • Life and disability insurance • Health and dependent care FSA • Voluntary benefits (hospital, accident, critical illness) • Employee Assistance Program (EAP) • ARAG pre-paid legal • Nationwide pet insurance • Cancer Care program • Global business travel medical insurance • Home office allowance • Mobile phone reimbursement • Wellness coach • Wellness/gym reimbursement • Fertility coverage • Adoption & surrogacy reimbursement