Staff Infrastructure Engineer - Data Streaming
Sentinellabs · United States - Remote
About this role
**Staff Infrastructure Engineer — Data Streaming** **About SentinelOne** SentinelOne is an AI-native cybersecurity company building an autonomous protection platform across endpoint, cloud, identity, data, and AI systems. Their mission is to give the advantage to those who secure our future—protecting global enterprises and critical infrastructure. **Role Overview** As a Staff Infrastructure Engineer, you’ll build and operate the infrastructure that enables SentinelOne’s single autonomous cybersecurity platform—specifically the data platforms that collect, store, and analyze massive volumes of security data reliably and efficiently. **Key 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. - Enable **cloud portability** by building highly automated, self-service infrastructure that can run across **AWS**, **GCP**, and **air-gapped on-prem** environments. - Manage data infrastructure supporting **5+ PB/day ingestion**, ensuring **low latency**, **high throughput**, and **cost-effective** global operation. - Consolidate and optimize **multi-tenant Kafka clusters** to reduce cost, improve resilience, and streamline operations. - Drive **Redis/Kafka lifecycle automation** using **GitOps** principles (e.g., **ArgoCD**, **Terraform**) to reduce operational toil. - Define and implement standards for **observability**, **HA**, **backup**, and **DR** for **stateful workloads** in Kubernetes. - Partner with **FinOps** and engineering stakeholders to continuously optimize **performance**, **cost**, and **operational overhead**. - 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** (US Eastern Time Zone preferred), using tools such as **Kubernetes (EKS, GKE)**, **Jenkins**, **GitHub Actions**, **ArgoCD**, and **Terraform**. **What You Bring** - **8+ years** of infrastructure/platform engineering experience, with a proven track record operating **stateful distributed systems** at scale. - Deep hands-on experience with **self-hosted Kafka and Redis** on **Kubernetes** (performance tuning, scaling, partitioning, persistence, and operator-based lifecycle management). - Strong understanding of **Kubernetes internals** and best practices for managing stateless and stateful workloads in production. - Experience providing **Database- or Messaging-as-a-Service (DBaaS/PaaS)** for internal teams or external customers. - Multi-cloud experience with strong expertise in at least one: **AWS**, **GCP**, or **Azure**. - **Infrastructure as Code** and **GitOps** practices (e.g., **Terraform**, **ArgoCD**, **Pulumi**). - Familiarity with advanced deployment strategies: **blue-green**, **canary**, **rolling**. - Strong scripting/development skills (e.g., **Python**, **Go**, or similar). - Solid understanding of **CI/CD** and workflow automation (e.g., **GitHub Actions**, **Argo Workflows**). **Citizenship / Clearance Requirements** - Due to Federal Government contract requirements, **U.S. Citizenship is required**. - **FedRAMP staff** may be subject to customer/third-party background checks up to and including **Secret Clearance** if required by role. **Why SentinelOne?** SentinelOne is built for this moment—an AI-native platform designed to operate at machine speed. If you want to b
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