Founding Backend Engineer

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding, we orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time, with zero human intervention, and we already run in production inside Fortune 500 environments. Autonomous execution is a new category, and we are the ones defining it, with a deliberately talent-dense team.

We are looking for a talented Founding Backend Engineer with more than 6 years of experience as a senior backend engineer in leading startups. You will build the core systems behind Zipher’s autonomous execution engine, turning high-volume telemetry and changing cloud conditions into reliable, real-time decisions across production data and AI workloads.

What You’ll Do

• Architect and scale the core backend services behind real-time workload orchestration, optimization, and self-healing
• Build resilient, high-throughput systems for distributed state, event streams, and production telemetry
• Design infrastructure that makes autonomous decisions observable, explainable, and safe for enterprise engineering teams
• Partner with data, ML, and platform engineers to take optimization models and control loops into production
• Own your services end to end: design, deployment, observability, and incident response

Requirements

• Must: 6+ years as a senior backend engineer in leading startups
• Must: Strong production experience in Python or Go, designing APIs, services, and asynchronous workflows
• Must: Hands-on AWS at scale: EMR, DynamoDB, Kinesis, Lambda, S3, or API Gateway
• Must: Distributed systems in production: Kubernetes, Spark, streaming platforms, schedulers, or message brokers
• Advantage: Military service as a developer in an elite IDF technology unit (8200, Mamram, Ofek, Matzpen)
• Advantage: BSc in Computer Science or a related engineering field from a leading university
• Advantage: Large-scale data platforms (Spark, Databricks, Trino, Flink, Snowflake) or AI/ML infrastructure

What We Offer

• A founding seat: you build the core engine of a new category, and its architecture carries your decisions
• Engineering problems that are genuinely hard: real-time decisions on live production workloads at enterprise scale
• Engineers worth learning from: a deliberately talent-dense team and direct work with the founders
• Room to grow and to lead: your ownership widens as the platform does
• Top-of-market compensation and a meaningful equity package

Ready to build the engine that lets data and AI workloads run themselves? Hit Apply.