Staff Software Engineer - AI Platform

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.

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 looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

SentinelOne is building a new AI Platform team whose mission is to accelerate AI feature delivery across the company while ensuring every AI feature meets our security, cost, and quality standards. As a Staff Engineer on this founding team, you will lead the design and delivery of the platform's core services — agent and MCP infrastructure, evaluation pipelines, and AI observability that every AI-powered feature at SentinelOne will run on. The best platform work is grounded in product reality: you'll partner closely with product teams, at times building customer-facing AI features alongside them, and platformize what proves valuable.

This is a new platform with real, immediate customers — the impact of your work will be visible in every AI capability SentinelOne ships.

What will you do?

• Lead end-to-end design and delivery of core AI Platform services — such as evaluation pipelines, agent and MCP infrastructure, and AI observability — from ambiguous requirements through production

• Architect solutions for complex platform features with performance, scalability, security, and testability built in from the start

• Partner with product teams: help build customer-facing AI features where needed, and turn the patterns that prove valuable into shared platform services

• Contribute to the team's technical roadmap and influence technology selection and build-vs-buy decisions

• Own operational excellence for the services you build: reliability, observability, capacity planning, deployment strategy, and blameless postmortems

• Mentor other engineers on the team through design reviews, code reviews, and technical guidance

What skills and knowledge should you bring?

• 7+ years of experience building and operating backend distributed systems at scale in production

• Hands-on experience building LLM-powered systems — for example model API integration, retrieval or agent architectures, evaluation pipelines, or LLM observability

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