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.

Principal Engineer

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו

Principal Engineer

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה
25,000-35,000 ₪ (הערכה מבוססת AI)
זוהי הערכת טווח שכר מבוססת AI ולא פרסום של המעסיק

We're looking for a hands-on builder to join our Backend Core Team as a Principal Backend Engineer- a role where you'll actively code and deploy the critical systems, APIs, and infrastructure that process vast weather datasets, execute complex algorithms, and handle extreme loads to power our resilience platform. This isn't for those who just direct from afar; we want someone who walks the walk, diving into implementation while embracing an AI-first mindset to make everything more efficient, higher quality, and faster through AI integration.
What Youll Do
Hands-on design and build scalable, fault-tolerant backend services and APIs for real-time, high-volume demands, leveraging AI to automate and optimize where possible.
Optimize data pipelines and algorithms for low-latency weather processing, using AI to enhance accuracy, speed, and self-improvement.
Lead architectural decisions with direct contributions, from microservices to event-driven systems, always questioning how AI can accelerate development.
Ensure end-to-end reliability with AI-powered monitoring and chaos engineering for mission-critical uptime.
Collaborate across teams to refine APIs, identifying AI opportunities to streamline workflows and boost product velocity.
Mentor through active participation-code reviews, pair sessions, and prototypes-to instill a builder's ethos and AI-first culture.
Iterate on AI-enhanced solutions, like intelligent data ingestion, to drive quality improvements and faster iterations.
Uphold best practices with a focus on AI for efficiency in security, performance, and compliance.

Requirements:
10+ years of backend experience with hands-on impact on production systems at scale-building, not just planning.
Expertise in distributed systems, microservices, and tools like Kafka or gRPC, paired with AI integration for optimization.
Proficiency in data-heavy tech (Spark, streaming) and languages (Go/Python/Java), with algorithmic prowess.
Cloud and container skills (AWS/GCP, Kubernetes), using AI for automated management.
AI-first experience: Operationalizing AI in dev workflows to improve efficiency, quality, and speed.
Builder mindset: Proactive implementation, problem-solving, and shipping in dynamic settings.
Leadership via action: Mentoring while promoting AI adoption.
BSc/MSc in CS or related; interest in weather/AI a plus.

This position is open to all candidates.