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Founding Full Stack Engineer

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Onsite

Founding Full Stack Engineer

Zipher

Founding Full Stack Engineer

Skills

DynamoDBReactTypescriptPythonAWS LambdaSnowflakeDatabricksAIAWSFastAPI

1 month ago

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Important information


Contract type:

Permanent

Location:

Tel Aviv-Yafo, Israel

Work mode:

Onsite

Published on:

23 September 2026

What they need


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 .

Autonomous execution is a new category, and we are the ones defining it — already running in production inside Fortune 500 environments , where being wrong is not an option. The team is deliberately talent-dense ; every hire changes what we are able to build next.

We are looking for a Founding Full Stack Engineer to own Zipher’s entire product surface — the control plane that turns autonomous decisions into something engineering leaders can see, trust, and act on. You will own it end to end: the services and APIs behind it, and the real-time interfaces built on top of them. This is a backend-heavy role . It is best suited for candidates whose primary expertise and passion lie in backend development

What You’ll Do

  • Own the product surface end to end: architecture, services, APIs, and the real-time interfaces built on top of them
  • Set the technical direction of the control plane — stack, data contracts, and the patterns every engineer after you builds on
  • Build high-throughput services that turn live telemetry from production data and AI workloads into decisions, and the explainability layer that makes those decisions readable
  • Work directly with the founders on what gets built next, and translate what enterprise customers need into architecture
  • Drive quality end to end: testing, CI/CD, observability, and the operational bar for a product Fortune 500 engineering teams run in production

What We Offer

  • A chance to build the core execution engine for a new category of autonomous data platform — a product already running inside Fortune 500 environments
  • Founding-level ownership: whole domains are yours to design and run — the architecture, the stack, and the patterns every engineer after you builds on
  • Engineering problems that are genuinely hard: real-time telemetry at enterprise scale, distributed decisions, and an explainability layer teams trust in production
  • A talent-dense team: you work directly with the founders, alongside engineers who raise the bar on everyone around them
  • Top-of-market compensation and meaningful equity

Ready to own the control plane for an autonomous data platform? Hit Apply. Requirements:

What You’ll Bring

  • 7+ years of full stack engineering experience, with most of it on the backend — production services, APIs, and data-intensive systems
  • Strong production mastery of Python (FastAPI) and TypeScript/React, plus 2+ years of hands-on production experience with AWS — Lambda, ECS, Fargate, DynamoDB, ECR, S3, API Gateway, or EventBridge
  • Experience from leading startup engineering teams, building cyber, AI, or data-intensive products where scale, latency, and correctness are the hard part
  • A track record of taking systems from architecture to production at scale, and owning them once they are there
  • BSc in Computer Science, Electrical Engineering, or a related engineering discipline
  • A high-agency, maker mindset: strong product intuition, engineering craftsmanship, and full ownership of what you ship

Nice to Have

  • Experience as a developer in an elite IDF technology unit (e.g. 8200, Mamram, Ofek, Matzpen) or another high-performance engineering environment
  • Experience designing real-time, event-driven, or high-throughput cloud architectures
  • Depth in modern frontend: TypeScript, state management, and component architectures for data-dense interfaces
  • Background in observability and telemetry products, developer-facing platforms, or large-scale data platforms such as Spark, Databricks, or Snowflake

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