Professional Services Architect

Job Description Roles & Responsibilities 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. About Us 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 Professional Services Architect, you will serve as the primary consultant for customer onboarding and technical delivery across SentinelOne Endpoint solutions and associated security platforms, acting as a trusted advisor who guides customers on security best practices, platform management, and long-term success. You will own end-to-end delivery of complex deployments including self-hosted Kubernetes environments and Prompt Security implementations bringing deep technical expertise across endpoint security, DevSecOps, cloud, and AI security. If you are a skilled technical practitioner who thrives in customer-facing roles and is energized by solving complex, real-world security challenges, this role is for you. What Will You Do? Primary responsibilities include: Act as the primary consultant for customer onboarding activities related to SentinelOne Endpoint solutions, serving as a trusted advisor on ongoing security best practices, platform management, and product usage, while designing and implementing security architectures that integrate endpoint security, DevSecOps workflows, and cloud environments. Deploy and configure Prompt Security across enterprise scenarios including employee AI tool access, developer AI workflows, home-grown AI applications, and browser-based controls via enterprise MDM while advising customers on AI governance, data protection, policy enforcement, and risks such as prompt injection and shadow AI usage. Integrate SentinelOne capabilities into CI/CD pipelines and developer workflows to support shift-left security practices, and support customers in building automated detection, response, and remediation workflows, including contributing to automation frameworks, detection engineering, and internal tooling. Own end-to-end delivery of self-hosted, customer-managed Kubernetes deployments including cluster-level installation, pod-level troubleshooting, and production readiness validation and advise customers on enterprise-grade deployment topology including high availability, disaster recovery, and cluster health monitoring. Implement GPU-backed self-hosted deployments including capacity planning and provisioning guidance for AI/ML workloads, ensuring customers are set up for long-term operational success in production environments. What Skills and Knowledge Will You Bring? Ideal candidates will have: 5 to 8 years of experience in enterprise cybersecurity with meaningful time in customer-facing technical roles such as Professional Services, technical consulting, or security engineering, and solid hands-on experience with enterprise EDR and XDR technologies including deployment, configuration, and migration from incumbent endpoint security platforms. Proficiency across Windows, Linux, and macOS operating systems, with a solid understanding of security technologies including threat detection, incident response, and SOC operations, along with experience with cloud platforms such as AWS, Azure, and GCP as part of broader security architectures. Hands-on experience deploying, operating, and troubleshooting Kubernetes workloads via Helm charts including debugging pod-level errors, startup failures, and resource constraints combined with working knowledge of enterprise networking concepts such as load balancer configuration, certificate chain validation, and TLS interception in customer environments. Prior experience as a Kubernetes administrator, platform engineer, or SRE supporting customer-facing or production self-hosted deployments, including troubleshooting complex networking issues in enterprise or air-gapped environments, is a strong advantage. Experience with DevSecOps practices including CI/CD pipelines such as GitHub Actions, GitLab CI, and Azure DevOps, proficiency in scripting or automation languages such as Python, PowerShell, or Bash, and experience working with APIs and building automation frameworks or integrations. Foundational GPU knowledge including provisioning, MIG splitting, and VRAM allocation for AI workloads is also valued, with hands-on experience supporting GPU-enabled infrastructure for AI/ML workloads being a further differentiator. Awareness of AI security risks including prompt injection, data leakage, and secure usage of GenAI tools and AI agents, with experience securing GenAI or LLM-based applications including AI assistants, agents, or custom AI workflows and supporting AI governance, compliance, or risk management frameworks being a strong plus. Relevant industry certifications in security, cloud, or Kubernetes such as CKA or equivalent are expected. Desired Candidate Profile What Skills and Knowledge Will You Bring? Ideal candidates will have: 5 to 8 years of experience in enterprise cybersecurity with meaningful time in customer-facing technical roles such as Professional Services, technical consulting, or security engineering, and solid hands-on experience with enterprise EDR and XDR technologies including deployment, configuration, and migration from incumbent endpoint security platforms. Proficiency across Windows, Linux, and macOS operating systems, with a solid understanding of security technologies including threat detection, incident response, and SOC operations, along with experience with cloud platforms such as AWS, Azure, and GCP as part of broader security architectures. Hands-on experience deploying, operating, and troubleshooting Kubernetes workloads via Helm charts including debugging pod-level errors, startup failures, and resource constraints combined with working knowledge of enterprise networking concepts such as load balancer configuration, certificate chain validation, and TLS interception in customer environments. Prior experience as a Kubernetes administrator, platform engineer, or SRE supporting customer-facing or production self-hosted deployments, including troubleshooting complex networking issues in enterprise or air-gapped environments, is a strong advantage. Experience with DevSecOps practices including CI/CD pipelines such as GitHub Actions, GitLab CI, and Azure DevOps, proficiency in scripting or automation languages such as Python, PowerShell, or Bash, and experience working with APIs and building automation frameworks or integrations. Foundational GPU knowledge including provisioning, MIG splitting, and VRAM allocation for AI workloads is also valued, with hands-on experience supporting GPU-enabled infrastructure for AI/ML workloads being a further differentiator. Awareness of AI security risks including prompt injection, data leakage, and secure usage of GenAI tools and AI agents, with experience securing GenAI or LLM-based applications including AI assistants, agents, or custom AI workflows and supporting AI governance, compliance, or risk management frameworks being a strong plus. Relevant industry certifications in security, cloud, or Kubernetes such as CKA or equivalent are expected. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Professional Services Architect Get real-time job updates only on our App