Requirements
- 8+ years of industry experience
- Solid hands-on production experience with observability systems
- Experience with logging pipelines: design, deployment, and refactoring
- Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing
- Experience with Kubernetes cluster lifecycle management (EKS preferred)
- Practical knowledge of storage trade-offs for observability data at scale
Nice to Have
- Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)
- Familiarity with AI-assisted tooling selection and workflow integration
- Experience with MCP (custom or open-source implementations)
- Background in cloud account or environment migrations
- Experience preparing infrastructure for compliance/audit processes
- Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.
- Experience with containers and Kubernetes (installation and configuration of operators)
- Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java
Additional Information
- Good communication and collaboration skills in international technological companies.
- Interest in modern big distributed storage technologies, architectures.
- Good Spoken English to participate in product-related, architectural and technical discussions.
- Proper balance between being hands-on and deeper analytical approaches
- Relocation
