Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding, we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time – with zero human intervention. Our platform runs in production at global enterprise customers, including Fortune 500 companies, delivering mission-critical resilience and sub-second optimization.

We're looking for a Senior Backend Engineer to own core components of our autonomous execution engine. You'll design and scale distributed services that make real-time infrastructure decisions across multi-cloud environments.

Nice to Have

• Experience with large-scale data/compute platforms: Spark, Databricks, Trino, Flink, or Snowflake
• 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.)

What We Offer

• Top-of-market compensation + significant equity (above market standard)
• Direct ownership over core platform architecture and autonomous infrastructure decisions
• Work with founders, engineering leads, and global enterprise customers on mission-critical systems
• Small, high-impact team that values ownership, speed, and technical depth over process

Ready to build the future of autonomous cloud infrastructure? Hit Apply.

What You'll Do

• Architect and scale high-throughput, low-latency backend engines that execute 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 You'll Bring

• 6+ years of backend engineering experience with focus on distributed systems, infrastructure, or core product architecture
• Production mastery of Python or Go as your primary development language
• Deep, hands-on production expertise with AWS at scale (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: debugging complex issues, maintaining high availability, and shipping robust system fixes