Staff Infrastructure Engineer

Details

SentinelOne is seeking a Staff Infrastructure Engineer to build and operate infrastructure supporting a unified autonomous cybersecurity platform. The role focuses on data platforms that operate with 99.99% uptime, ingest petabytes of data daily, process more than 2 trillion events, and return queries with p95 latencies below 5 seconds.

Due to Federal Government contract requirements, U.S. Citizenship is required. FedRAMP staff may be subject to customer or third-party background checks up to and including Secret Clearance if required by their role.

Responsibilities

• Lead the design and operation of distributed data services, including self-hosted Kafka and Redis, at massive scale across Kubernetes clusters and multi-cloud environments.
• Build highly automated, self-service infrastructure that runs across AWS, GCP, and air-gapped on-premises environments.
• Manage data infrastructure supporting 5 or more PB per day of ingestion, ensuring low-latency, high-throughput, and cost-effective operation at global scale.
• Consolidate and optimize multi-tenant Kafka clusters to reduce cost, improve resilience, and streamline operations.
• Drive Redis and Kafka lifecycle automation using GitOps principles, including ArgoCD and Terraform.
• Define and implement standards for observability, high availability, backup, and disaster recovery of stateful Kubernetes workloads.
• Partner with FinOps and engineering stakeholders to optimize performance, cost, and operational overhead across data platform components.
• Own the end-to-end platform experience for mission-critical open-source systems serving hundreds of product teams.
• Collaborate with teams in Europe and India. The U.S. Eastern Time Zone is preferred due to collaboration requirements.
• Work with Kubernetes, including EKS and GKE, Jenkins, GitHub Actions, ArgoCD, and Terraform.

Requirements

• 8 or more years of experience in infrastructure or platform engineering, with a proven track record operating stateful distributed systems at scale.
• Deep hands-on experience with self-hosted Kafka and Redis running in Kubernetes, including performance tuning, scaling, partitioning, persistence, and operator-based lifecycle management.
• Strong understanding of Kubernetes internals and best practices for managing stateless and stateful production workloads.
• Experience providing Database-as-a-Service or Messaging-as-a-Service for internal development teams or external customers.
• Exposure to multi-cloud environments and strong expertise in at least one major cloud provider: AWS, GCP, or Azure.
• Experience with Infrastructure as Code and GitOps practices using Terraform, ArgoCD, or Pulumi.
• Familiarity with blue-green, canary, and rolling deployment strategies.
• Strong scripting or development skills using Python, Go, or similar technologies.
• Solid understanding of CI/CD pipelines and workflow automation, including GitHub Actions and Argo Workflows.
• U.S. Citizenship is required.

Benefits

• Restricted Stock Units and Employee Stock Purchase Plan.
• Flexible time off, paid company holidays and sick time, gender-neutral parental leave, and grandparent leave.
• Medical, dental, and vision coverage; 401(k) with company match; life and disability insurance; FSAs; voluntary benefits; employee assistance; prepaid legal services; pet insurance; cancer care; and global business travel medical insurance.
• Home office allowance and mobile phone reimbursement.
• Wellness coach, wellness or gym reimbursement, fertility coverage, and adoption and surrogacy reimbursement.

Compensation

The U.S. base salary range is $156,000–$215,000 per year. The range may vary based on the candidate's location, and a different range may apply in some locations.