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 • אלפי משרות חדשות בכל יום
חינם. בלי פרסומות. בלי אותיות קטנות.

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חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה
28,000-40,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

We are looking for a Senior Software Engineer to solve complex technical problems and build dependable backend and platform systems that enable our product to scale. You will own work from design through production, balance near-term delivery with long-term maintainability, and help teammates grow.

What youll do
Design, implement, and operate scalable backend services, APIs, and platform capabilities.
Build robust systems and services in Go and Python.
Own technical design, delivery, reliability, security, and operational quality for your domains.
Work with Product, Design, Data, and other engineers to deliver customer value quickly and safely.
Improve engineering foundations, including test coverage, observability, CI/CD, performance, and developer experience.
Apply AI-assisted engineering tools responsibly while maintaining strong technical judgment.
Evaluate and build production AI capabilities where they are relevant to the product.
Review code, mentor engineers, and contribute to architecture and technical standards.

Requirements:
Requirements
7+ years of professional software engineering experience, or equivalent experience delivering senior-level work.
Strong production experience in Go or Python, with the ability to work effectively in both.
Experience designing and operating production-grade APIs and distributed systems.
Strong foundations in data modeling, testing, debugging, security, performance, reliability, and production operations.
A record of independently driving complex work from an unclear problem to a dependable outcome, while communicating tradeoffs clearly and helping teammates succeed.
Hands-on experience shipping AI-enabled or agentic capabilities to production with a framework such as LangGraph, CrewAI, or an equivalent, including disciplined validation of outputs.

Nice to have
Strong production experience with both Go and Python.
Experience with cloud infrastructure, containers, Kubernetes, queues, and asynchronous workflows.
Experience with LLM integrations, agentic workflows, evaluation systems, retrieval pipelines, or AI observability.
Experience in B2B SaaS, developer tools, data products, or regulated environments.
Experience with React.

This position is open to all candidates.

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