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.
* 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.
Requirements:
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
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
This position is open to all candidates.
