Staff Infrastructure Engineer - Data Streaming

Multiple years of experience in infrastructure/platform engineering or as DevOps engineer, with a proven track record of operating distributed systems at scale Deep hands-on experience with self-hosted Kafka and/or Redis running in Kubernetes Experience providing Database- or Messaging-as-a-Service (DBaaS/PaaS) for internal development teams or external customers Strong understanding of Kubernetes internals and best practices for managing both stateless and stateful workloads Exposure to multi-cloud environments with strong expertise in at least one major provider: AWS, GCP, or Azure Experience with IaC and GitOps practices and tools (Terraform, ArgoCD etc.) Solid understanding of CI/CD pipelines and workflow automation (GitHub Actions, Argo Workflows, etc.) Familiarity with advanced deployment strategies (blue-green, canary, rolling) Strong scripting or development skills (e.g., Python, Go, or similar)

Lead the design & operation, and own end-to-end platform experience of mission-critical distributed data services Unlock complete cloud portability for SentinelOne’s services by building a highly automated, self-service infrastructure Manage data infrastructure supporting Petabytes/day ingestion Consolidate and optimize multi-tenant Kafka clusters Drive lifecycle automation for the owned distributed data services, using GitOps principles and tools Define and implement standards for observability, HA, backup, and DR of workloads in Kubernetes Partner with FinOps and engineering stakeholders to continuously optimize performance, cost, and operational overhead