Staff Backend Software Engineer - Agent Platform

SentinelOne is an AI-native cybersecurity company whose platform provides autonomous protection across endpoint, cloud, identity, data, and AI systems. The Staff Backend Software Engineer will build and operate high-throughput distributed services for the Agent Platform, respond to customer-critical incidents, and drive improvements in reliability, scalability, observability, and operational excellence.

Responsibilities:

• Drive rapid response to customer-critical incidents by diagnosing, triaging, and resolving complex production issues that span multiple services across the Agent Platform
• Lead systematic root-cause analysis and translate incident learnings into durable reliability, scalability, observability, and operability improvements
• Quickly build a systems-level understanding of unfamiliar services and codebases, collaborating closely with engineering teams to resolve complex cross-service issues
• Design, develop, test, document, deploy, and operate large-scale, high-volume, low-latency distributed systems processing millions of events per second
• Understand, maintain, and continuously improve existing services through refactoring, feature development, and architectural enhancements
• Maintain application stability and data integrity by monitoring key metrics, improving operational visibility, and continuously strengthening the codebase
• Translate business and functional requirements into robust, scalable, and operable technical solutions
• Partner closely with engineering teams across SentinelOne to solve cross-functional problems, influence technical direction, and deliver solutions that scale
• Continuously evaluate and adopt technologies that improve the platform’s scalability, reliability, and operational excellence

Requirements:

• 8+ years of professional backend software engineering experience with deep expertise in at least one of Java, Go, or Python, and the willingness to work across all three as needed
• A reliability-first mindset with a proven ability to solve complex production incidents, perform systematic root-cause analysis, and implement durable engineering solutions that prevent recurrence
• Demonstrated ability to quickly understand unfamiliar distributed systems, navigate large codebases, and troubleshoot complex failures across service boundaries
• Strong hands-on experience designing, building, and operating large-scale distributed systems, with a deep understanding of failure modes, performance trade-offs, resilience patterns, and operational excellence
• Experience with AWS, GCP, or similar cloud platforms, as well as Docker, Helm, and Kubernetes
• Experience with messaging systems and data platforms such as Kafka, PostgreSQL, Redis, Cassandra, ClickHouse, or similar technologies
• Excellent communication and collaboration skills, with the ability to work effectively across engineering teams, Product, Technical Account Managers, and other stakeholders, influence technical direction, and mentor fellow engineers
• A high degree of ownership, autonomy, curiosity, and the ability to drive ambiguous technical problems to successful outcomes
• Experience in an enterprise SaaS or cybersecurity software company is highly desirable