עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
You'll operate in an organization that expects AI-native ways of working. Using tools like Claude, Cursor, Hermes or LangGraphor isn't a bonus here - it's the baseline for how we build, and we expect you to help the rest of the team level up on it too.
What Youll be Doing:
Own core backend infrastructure - design and build scalable, reliable Node.js/TypeScript/Python/Go services that other teams and systems depend on.
Build and scale data pipelines - architect the infrastructure that processes and moves large volumes of data reliably, efficiently, and at scale.
Elevate test & validation infrastructure - build the automation, tooling, and CI/CD systems that let engineering ship fast without breaking things, and that make quality and reliability measurable.
Set technical direction - make architecture decisions with company-wide impact, drive design reviews, and establish engineering standards and best practices.
Mentor and multiply - level up other engineers technically, and help shape a fast, high-ownership engineering culture as the team grows.
Lead with AI-native workflows - use AI-assisted development tools daily to move faster without sacrificing architectural quality, and champion their adoption across the team.
8+ years of backend software engineering experience, including end-to-end ownership of production systems at scale.
Deep expertise in Node.js and TypeScript, with strong software architecture skills for building modular, distributed systems.
Strong cloud and infrastructure experience (AWS, Kubernetes, Docker), including CI/CD, observability, reliability, and production operations.
Experience building and scaling data-intensive systems, including high-throughput data pipelines, distributed APIs, data modeling (SQL & NoSQL), and messaging platforms such as Kafka or Spark.
Experience building developer infrastructure, including internal tooling, test automation, validation frameworks, or agent-facing infrastructure (e.g., MCP servers, AI/LLM tools and APIs).
AI-native engineering mindset, with daily expert use of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) to significantly improve engineering velocity while maintaining quality.
Technical leadership experience, including mentoring engineers, driving architecture decisions, and raising engineering standards across a team.
Experience working in fast-paced startup or scale-up environments, delivering for customers under short SLAs.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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