Senior Full Stack Engineer
Founding-level, backend-heavy full stack engineer who owns Zipher's entire product surface — the control plane for an autonomous execution layer that orchestrates cloud data and AI workloads. Day to day: designing services, APIs, and real-time telemetry-driven interfaces, primarily in Python/FastAPI and TypeScript/React on AWS.
- Compensation
- Not disclosed
- Location
- Tel Aviv-Yafo, Tel Aviv District
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 7+ years of full stack engineering experience, mostly backend (production services, APIs, data-intensive systems)
- Strong production mastery of Python (FastAPI)
- Strong production mastery of TypeScript/React
- 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
- Track record of taking systems from architecture to production at scale and owning them once there
- BSc in Computer Science, Electrical Engineering, or a related engineering discipline
- High-agency, maker mindset: strong product intuition, engineering craftsmanship, 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 (Spark, Databricks, Snowflake)
Full description
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 Senior Full Stack Engineer with 7+ years of development experience at leading startups 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: about 70% backend and 30% frontend. 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 lead the technical moves that follow — from what enterprise customers need to the architecture that answers it
- 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 product that is already winning: a new category of autonomous data platform, in production inside Fortune 500 environments
- A domain of your own: you lead it end to end — the architecture, the stack, and the patterns every engineer after you builds on
- A seat on the core team: you are one of the engineers deciding what the platform becomes, not one implementing someone else’s decisions
- Engineering problems that are genuinely hard: real-time telemetry at enterprise scale, distributed decisions, and an explainability layer teams trust in production