Zipher is pioneering the Autonomous Execution Layer for Cloud Data & AI Workloads . Our platform dynamically orchestrates clusters, predicts workload bottlenecks, scales resources in real time , and auto-heals infrastructure anomalies—with zero human intervention . Operating in live production across global enterprise environments, Zipher delivers mission-critical resilience , sub-second optimization, and true zero-touch infrastructure.
Why Join Us Scale-Up Velocity, Core Team Ownership: Backed by top-tier VCs ( $50M+ raised ), millions in ARR, and live Fortune 500 deployments , we combine scale-up stability with the architecture ownership, high-velocity engineering, and significant equity upside of an early-stage core team. Elite Engineering Culture: Founded by veterans of elite IDF tech units and distributed systems leaders, we tackle deep infrastructure challenges: low latency, high throughput, and autonomous control planes
Key Responsibilities
* Architect and scale high-throughput, low-latency backend engines executing real-time autonomous infrastructure decisions.
* Design resilient spot-loss mitigation and self-healing systems ensuring zero downtime across enterprise-grade cloud environments.
* Expand our ML-driven orchestration core to support complex AI training/inference workloads and distributed data pipelines.
* Solve complex distributed state challenges across massive scale, event streams, and real-time telemetry.
* Build explainability and telemetry layers that give enterprise engineering leadership full visibility into autonomous platform actions.
What We Offer Top-of-Market Compensation: Top-of-band base salary tailored to elite senior talent in the Israeli tech ecosystem. Significant Equity: Meaningful early-stage equity grants positioned above market standard. Pure Technical Impact: High agency, zero bureaucracy, and direct influence over the platform's core architecture.
Ready to build the future of autonomous cloud infrastructure? Hit Apply
Requirements: Requirements 6+ years of dedicated backend engineering experience, with a heavy focus on core product architecture, distributed systems, or infrastructure
* Production mastery of Python or Go as your primary development language.
* Deep, hands-on production expertise with AWS at scale (e.g., EMR, DynamoDB, Kinesis, Lambda, S3, API Gateway
* Proven background in distributed computing or infrastructure engines Kubernetes, Spark , high-throughput schedulers, or distributed message brokers).
* Strong production ownership mindset: Experience debugging complex production issues, maintaining high availability, and shipping robust system fixes.
Preferred Qualifications
* Deep experience with large-scale Data/Compute platforms ( Spark, Databricks, Trino, Flink, or Snowflake
* Hands-on exposure to MLOps / AIOps infrastructure or serving ML models in production.
* Background in cloud cost optimization, FinOps , or workload efficiency at scale.
* Prior service as a Software/Backend Engineer in an elite IDF technology unit (8200, Mamram, Ofek, etc.).
This position is open to all candidates.