Senior SRE & Linux Infrastructure Engineer

Team: Software

Location: Jerusalem, Israel

Commitment: Full time

Workplace Type: hybrid

What will your job look like:

• Build and maintain infrastructure for large‑scale AI and HPC workloads across on‑prem and cloud environments.
• Operate and enhance our multi‑cloud, multi‑cluster scheduling platform.
• Troubleshoot complex issues across the stack: from kernel-level tuning and drivers to networking, storage, and distributed system bottlenecks.
• Ensure the reliability of critical platform services: queuing systems, time-series databases, and logging pipelines.
• Develop deeply integrated automation and tooling.
• Collaborate with ML engineers and IT engineers to optimize hardware utilization for data intensive workloads.
• Drive best practices in system design, observability, and infrastructure-as-code.

All you need is:

• 10+ years of hands‑on experience in SRE, Linux Administration, or Systems Engineering.
• Expert-level Linux knowledge: Deep understanding of system internals, debugging, performance tuning, and the ability to solve failures where hardware meets software.
• Kubernetes Expertise: Proven experience managing K8s at scale (both managed EKS and bare-metal deployments).
• Distributed Systems Mastery: Hands-on experience debugging and maintaining:Queuing Systems: RabbitMQ or similar.
• Metrics/Observability Stacks: Prometheus, Thanos, and Grafana, or similar.
• Logging: Elasticsearch or similar.
• Relational Databases: PostgreSQL, or similar.
• Infrastructure-as-Code: Proficiency with Terraform, Helm, and configuration management.
• Networking & Scripting: Strong fundamentals in networking and proficiency in Bash.

Nice to have:

Familiarity with GPU/Accelerator scheduling, AI/ML pipelines.
Experience with multi cloud architectures and hybrid environments.
Experience with workflow orchestration tools (e.g., Argo Workflows).