Staff Infrastructure Engineer - Data Streaming

Due to Federal Government contract requirements, U.S.

Citizenship is required for this position.

FedRAMP staff may be subject to customer or third-party background checks up to and including Secret Clearance if required by their role at SentinelOne.

What Will You Do?

Primary responsibilities include:

• 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.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 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.).

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment.

From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself.

If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: