The role:

Lead a small, high-impact backend group while staying hands-on (~50%). Set the architecture, raise the bar on reliability and speed, and partner with ML/Product to ship AI features at scale.

Location: Hybrid (1 day/week on-site, Beer Sheva)

What you"ll do:

• Own architecture for high-scale, user-facing backends and data pipelines.
• Lead and mentor engineers; guide design reviews, roadmaps, and execution.
• Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
• Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
• Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
• Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
• Hire, level up the team, and uplevel engineering standards.

What you bring:

• 7+ years backend engineering, including 2+ years tech-leading or managing.
• Deep experience in Node.js or Python (strong in the other).
• Distributed systems/Kubernetes/cloud expertise; strong operational rigor.
• Track record of scaling systems, improving reliability, and shipping fast.
• Excellent communication, prioritization, and mentoring skills.

Nice to have:

Large K8s clusters (hundreds of nodes), GPU scheduling, NVIDIA stack (CUDA, Triton).