Senior Infrastructure Engineer - Streaming, Caching, DBaaS
HybridPrague, Prague, Czechia
Job Summary
Lead the design, operation, and end-to-end platform experience of mission-critical distributed data services, including Kafka or Redis, across Kubernetes clusters and multi-cloud environments. Unlock complete cloud portability for SentinelOne apps and services by building a highly automated, self-service infrastructure across AWS, GCP, and air-gapped on-prem environments. Manage and scale data infrastructure supporting petabytes/day ingestion to ensure low-latency, high-throughput, and cost-effective operations. Consolidate multi-tenant Kafka clusters to reduce cost and improve resilience, while driving lifecycle automation using GitOps principles and tools like GitHub Actions, ArgoCD, and Terraform. Define standards for observability, high availability, backup, and disaster recovery of workloads in Kubernetes. Partner with FinOps and engineering stakeholders to continuously optimize performance, cost, and operational overhead across data platform components.
Required Qualifications
- 5+ years of experience in infrastructure, platform, or DevOps engineering with a proven track record of operating distributed systems at scale
- Hands-on experience with self-hosted Kafka and/or Redis running in Kubernetes, including performance tuning, scaling, and operator-based lifecycle management
- Strong understanding of Kubernetes internals and best practices for managing both stateless and stateful workloads in production or air-gapped deployments
- Multi-cloud experience with production expertise in at least one major provider (AWS, GCP, or Azure)
- Solid experience with Infrastructure as Code (IaC) and GitOps practices using tools like Terraform, ArgoCD, and CI/CD workflow automation (GitHub Actions)
- Strong scripting or development skills in at least one mainstream language like Python, Go, or Ruby
- Only Prague-based employees are required to work from the office at least 2 days//week
Desired Qualifications
- Ideal candidates will have: 5+ of experience in infrastructure, platform, or DevOps engineering with a proven track record of operating distributed systems at scale
- Hands-on experience with self-hosted Kafka and/or Redis running in Kubernetes, including performance tuning, scaling, and operator-based lifecycle management
- Strong understanding of Kubernetes internals and best practices for managing both stateless and stateful workloads in production or air-gapped deployments
- Multi-cloud experience with production expertise in at least one major provider (AWS, GCP, or Azure)
- Solid experience with Infrastructure as Code (IaC) and GitOps practices using tools like Terraform, ArgoCD, and CI/CD workflow automation (GitHub Actions)
- Strong scripting or development skills in at least one mainstream language like Python, Go, or Ruby
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.