Senior Staff Software Engineer - Exposures Management

About the role

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 Senior Staff Software Engineer, you will be tasked with owning the architecture of SentinelOne's self-hosted (on-prem) Endpoint Protection platform across multiple teams - a distributed, mission-critical security system deployed inside customer-controlled enterprise, government, and regulated environments. You will set the standard for how the platform achieves high availability, scalability, and reliability on infrastructure we don't operate ourselves, while influencing the engineering roadmap for the product line. In this role, you will act as a recognized subject-matter expert who reviews and elevates the work of other senior engineers and drives complex, cross-team designs to completion. What Will You Do? Primary responsibilities include: Own and evolve the architecture of the self-hosted platform across multiple teams - backend services, data pipelines, control logic, and the deployment topology shipped to customers (containerized microservices on bare metal, delivered as an appliance/OVA) - and implement improvements to existing architecture. Set the standard for high availability and resilience in customer-controlled deployments: clustering, replication, failover, consensus/leader election, and graceful degradation across single-node and multi-node topologies, and drive infrastructure cost analysis and optimization. Define scalability and capacity-planning strategies that hold across a wide range of customer scale and hardware, and establish frameworks for performance, observability, and operational excellence in constrained and air-gapped environments. Lead the translation of SaaS/cloud-native capabilities into on-prem architecture, refine vaguely specified complex requirements into robust, future-proof end-to-end designs, and define coding patterns and standards that span multiple teams. Influence the engineering roadmap, drive medium-to-large initiatives that span teams, mentor staff and senior engineers, and act as a cross-team technical authority sought out to review the work of others. What Skills and Knowledge Will You Bring? Ideal candidates will have: A degree in Computer Science or Software Engineering, or equivalent experience, with roughly 8+ years of related experience and deep hands-on expertise in Go and/or Python across technologies such as PostgreSQL, MongoDB, Redis, Kafka, Docker, and Linux. Extensive, proven experience designing and delivering on-prem / self-hosted / customer-deployed software, including packaging and lifecycle for customer-controlled environments (appliance/OVA, bare-metal or containerized deployments, upgrades, and air-gapped or restricted networks). A strong track record architecting distributed systems for high availability and fault tolerance in on-prem / customer-controlled deployments - replication, clustering, failover, consensus/leader election - and being recognized as a subject-matter expert in one or more of these areas. Deep command of scalability and performance in on-prem deployments: horizontal/vertical scaling, sharding/partitioning, load balancing, capacity planning, and evaluating technology trade-offs and costs across customer-controlled hardware and environments. The ability to take vaguely specified, complex requirements and create efficient, robust, future-proof end-to-end designs across t

Additional Information

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.

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