Staff Infrastructure Engineer - Data Streaming

SentinelOne is an AI-native cybersecurity company developing a unified platform for protecting endpoint, cloud, identity, data, and AI systems. The Staff Infrastructure Engineer will design and operate large-scale distributed data services, build portable multi-cloud infrastructure, and optimize Kafka, Redis, and Kubernetes platforms for reliability, performance, and cost.

Responsibilities:

• Lead the design and operation of distributed data services, including Kafka and Redis (self hosted), running at massive scale across Kubernetes clusters and multi-cloud environments
• Unlock complete cloud portability for SentinelOne's services by building a highly automated, self-service infrastructure that can run seamlessly across AWS, GCP, and air-gapped on-prem environments
• Manage data infrastructure supporting 5 or more PB/day 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 (ArgoCD, Terraform), reducing operational toil and minimizing pager fatigue
• Define and implement standards for observability, HA, backup, and DR of stateful workloads in Kubernetes
• Partner with FinOps and engineering stakeholders to continuously 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 closely with teams in Europe and India (US Eastern Time Zone preferred due to these collaboration requirements), working with orchestration tools such as Kubernetes (EKS, GKE), Jenkins, GitHub Actions, ArgoCD, and Terraform

Requirements:

• Due to Federal Government contract requirements, U.S. Citizenship is required for this position
• 8 or more years of experience in infrastructure/platform engineering, with a proven track record of 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 both stateless and stateful workloads in production environments
• Experience providing Database- or Messaging-as-a-Service (DBaaS/PaaS) for internal development teams or external customers
• Exposure to multi-cloud environments with strong expertise in at least one major provider: AWS, GCP, or Azure
• Experience with Infrastructure as Code and GitOps practices (Terraform, ArgoCD, Pulumi)
• Familiarity with advanced deployment strategies (blue-green, canary, rolling)
• Strong scripting or development skills (e.g., Python, Go, or similar)
• Solid understanding of CI/CD pipelines and workflow automation (GitHub Actions, Argo Workflows, etc.)
• Collaborate closely with teams in Europe and India (US Eastern Time Zone preferred due to these collaboration requirements), working with orchestration tools such as Kubernetes (EKS, GKE), Jenkins, GitHub Actions, ArgoCD, and Terraform