SentinelOne is seeking a Staff Software Engineer to join the AI Data Pipelines team, delivering an AI-powered data integration platform. In this role, you will architect and scale the next-generation backend infrastructure and APIs to process petabyte-scale security and observability data with ultra-low latency. You will lead the development of an AI-powered automation engine that uses large language models and agentic workflows to autonomously generate, test, and validate data integrations end-to-end. You will design and build cloud-native microservices (primarily Go, with occasional Rust or Java) to connect our platform with third-party APIs and major observability platforms such as Splunk, Datadog, and New Relic. You will champion open data schemas (for example OCSF) to normalize diverse datasets, and work with global teams to translate customer requirements into robust technical solutions. You will drive performance, cost efficiency, and reliability through profiling, testing, and infrastructure improvements, and mentor engineers through design reviews and best practices. Requirements include multiple years of professional software engineering experience in distributed systems or backend infrastructure, strong Go skills, and familiarity with system design principles; knowledge of Rust or Java is a plus. Hands-on experience with AI/LLMs, data-intensive ingestion/transformation/validation, and integrating complex APIs; cloud platforms (AWS, GCP, Azure), Kubernetes and Docker, and GitOps CI/CD (e.g., Helm, ArgoCD). Bachelor's degree in Computer Science or Engineering (or e

SentinelOne is seeking a Staff Software Engineer to join the AI Data Pipelines team, delivering an AI-powered data integration platform. In this role, you will architect and scale the next-generation backend infrastructure and APIs to process petabyte-scale security and observability data with ultra-low latency. You will lead the development of an AI-powered automation engine that uses large language models and agentic workflows to autonomously generate, test, and validate data integrations end-to-end. You will design and build cloud-native microservices (primarily Go, with occasional Rust or Java) to connect our platform with third-party APIs and major observability platforms such as Splunk, Datadog, and New Relic. You will champion open data schemas (for example OCSF) to normalize diverse datasets, and work with global teams to translate customer requirements into robust technical solutions. You will drive performance, cost efficiency, and reliability through profiling, testing, and infrastructure improvements, and mentor engineers through design reviews and best practices. Requirements include multiple years of professional software engineering experience in distributed systems or backend infrastructure, strong Go skills, and familiarity with system design principles; knowledge of Rust or Java is a plus. Hands-on experience with AI/LLMs, data-intensive ingestion/transformation/validation, and integrating complex APIs; cloud platforms (AWS, GCP, Azure), Kubernetes and Docker, and GitOps CI/CD (e.g., Helm, ArgoCD). Bachelor's degree in Computer Science or Engineering (or e