Staff Software Engineer - Data Platform (Go/Java/Rust)

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.

As a Staff Software Engineer at our AI Data Pipelines team, built on our acquisiton of Observo AI, you will be tasked with helping build our next big innovation: an AI-powered integration factory that makes connecting new data sources dramatically faster, with quality proven through automated validation. Operating as part of the AI SIEM engineering organization, you will architect and scale backend infrastructure, APIs, and cloud-native microservices designed to process petabyte-scale security and observability data. You will collaborate across global teams to shape our AI-driven data pipeline platform from the ground up.

What Will You Do?

• Architect and scale the next-generation backend infrastructure and APIs for our AI-driven integration platform, engineered to process petabyte-scale security and observability data with ultra-low latency.

• Pioneer the development of an AI-powered automation engine that leverages LLMs and agentic workflows to autonomously generate, test, and validate data integrations end-to-end.

• Design and build cloud-native microservices and frameworks that seamlessly connect our platform to third-party APIs and major observability platforms like Splunk, Datadog, and New Relic.

• Lead the adoption and implementation of open data schemas (such as OCSF) to normalize massive, highly diverse multi-format datasets.

• Optimize system performance, cost efficiency, and reliability through continuous profiling, testing, and infrastructure improvements.

• Partner closely with core platform, Product, and global field teams to translate complex customer requirements into technical solutions and integrate automated workflows.

• Raise the engineering bar through active technical design leadership, comprehensive code reviews, testing best practices, and developer mentoring.

What Skills and Knowledge Will You Bring?

• Multiple years of professional