Staff Infrastructure Engineer, Data Streaming

What you'll do

• Design and operate distributed data services like Kafka and Redis at massive scale across Kubernetes and multi-cloud environments.
• Build automated, self-service infrastructure to ensure cloud portability across AWS, GCP, and air-gapped on-prem environments.
• Manage high-throughput data infrastructure supporting over 5 petabytes of daily ingestion with low latency.
• Consolidate and optimize multi-tenant Kafka clusters to improve resilience and reduce operational costs.
• Automate the lifecycle of Redis and Kafka using GitOps principles like ArgoCD and Terraform.
• Define standards for observability, high availability, backup, and disaster recovery for stateful workloads in Kubernetes.
• Partner with FinOps and engineering teams to optimize performance and cost across data platform components.
• Manage the end-to-end platform experience for mission-critical open-source systems serving hundreds of product teams.

What we're looking for

• U.S. Citizenship is required for this position.
• 8 or more years of experience in infrastructure/platform engineering operating stateful distributed systems at scale.
• Deep hands-on experience with self-hosted Kafka and Redis running in Kubernetes, including performance tuning and lifecycle management.
• Strong understanding of Kubernetes internals and best practices for managing stateless and stateful workloads.
• Experience providing Database-as-a-Service or Messaging-as-a-Service (DBaaS/PaaS) for internal teams or customers.
• Expertise in at least one major cloud provider (AWS, GCP, or Azure).
• Proficiency with Infrastructure as Code and GitOps tools such as Terraform and ArgoCD.
• Secret Clearance if.