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.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה
35,000-55,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

We're looking for an exceptional, hands-on technical leader to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team - operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

Requirements:
Must-have
8+ years of experience in backend software engineering, with a proven track record designing, building, and operating large-scale cloud production systems.
Strong coding fundamentals in backend technologies such as Go, Python, Java, etc.
Experience leveraging AI coding agents (e.g., Claude Code) and implementing AI-oriented workflows to enhance team productivity and code quality.
Production-grade experience with AWS, containerization (Kubernetes/Docker), microservices, and distributed databases/data warehouses (e.g., PostgreSQL, Snowflake).
Practical experience working with large data volumes, data pipelines, or integrating AI/LLM technologies into production environments.
Demonstrated experience leading technical workflows, driving complex cross-team initiatives, or acting as a full-lifecycle domain owner.
A true independent operator who thrives in fast-paced environments and solves problems end to end.
Ability to build technical consensus, inspire peers, and drive alignment across stakeholders.

This position is open to all candidates.