Founding Backend Engineer

Zipher is building the Autonomous Execution Layer for Cloud Infrastructure.

Our platform dynamically orchestrates clusters, predicts workload bottlenecks, and auto-heals system anomalies in real time—delivering true zero-touch infrastructure across enterprise fleets.

Backed by top-tier VCs ($50M+ raised), generating millions in ARR, and deployed live in Fortune 500 environments, we combine scale-up stability with the architectural freedom, velocity, and equity upside of an early core engineering team.

We are seeking a Staff / Core Systems Engineer to own our primary execution engine.

You won’t build CRUD APIs, basic UI dashboards, or generic cloud wrappers. Instead, you will tackle core distributed systems problems: building sub-second control planes, designing spot-loss mitigation mechanisms, and managing real-time state across high-volume telemetry.

Working side-by-side with our technical founders, you'll take architecture from napkin sketches to low-level production tuning.

• Architect Distributed Systems: Design high-throughput control engines executing real-time resource allocation decisions in milliseconds.
• Build Infrastructure Resilience: Engineer self-healing mechanisms ensuring zero downtime across mission-critical compute fleets.
• Scale Data Infrastructure: Expand our core execution engine to manage complex distributed data pipelines (Spark, Flink, Trino).
• Drive End-to-End Ownership: Take full technical agency over core platform components—from architectural specs to low-level profiling and production deployment.

• Deep Systems Expertise: 6+ years of backend engineering building distributed systems, cloud schedulers, or performance-critical engines.
• Production Mastery: Deep proficiency in Go or Python, with strong knowledge of concurrency models, memory management, and low-latency system tuning.
• Cloud & Orchestration Native: Hands-on experience debugging and running complex production workloads on AWS and Kubernetes at scale.
• Production Ownership: Proven track record of navigating non-obvious distributed systems outages under heavy production loads.

• Experience with large-scale compute engines (Spark, Flink, Databricks, Trino) or custom distributed schedulers.
• Background in GPU cluster orchestration, cloud efficiency engines, or low-level systems profiling.
• Prior experience in elite technology units (8200, Mamram, Ofek) or high-scale hypergrowth engineering teams.

• Top-of-Market Salary: Tailored for elite systems engineering talent in the Israeli market.
• Significant Equity: Meaningful early-stage equity grants reflecting your impact as a core builder.
• Pure Technical Impact: High agency, direct architectural influence, and zero corporate bureaucracy.