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

הרצליה

חברה בתחום הייטק / חומרה / תוכנה / סייבר

הרצליה
מלאה
25,000-35,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

Required Senior Software Engineer - Backend, Big Data & AI (Hybrid)
Job Description
Are you a software engineer passionate about building cutting-edge systems?
Excited about shaping the future of security through Big Data and AI?
Who We Are:
Join the Cloud Security Intelligence group, operating one of Israel's largest Big Data environments. We develop intelligence-driven products enabling customers to detect and respond to security threats efficiently and at scale.
Join us
Our team is integrating advanced data systems with AI and Machine Learning to predict and address evolving cyber threats effectively. One AI-driven product is operational, while additional solutions are under development to enhance security capabilities further.
As a Senior Backend, Big Data & AI Software Engineer, you'll play a key role in:
Designing, developing, and deploying cloud-native, high-scale Big Data systems, Cloud (Azure).
Optimizing data pipelines, integrating AI/ML models into production for real-time insights, and driving AI initiatives from PoCs to features.
Collaborating across product, UX, data science, and engineering to shape the next generation of security tools.
Leveraging technologies such as Kubernetes, Kafka, ELK, Prometheus, Grafana, and more.

Requirements:
Bring 5+ of backend or data engineering experience, with focus on Big Data environments.
Have a B,Sc. in Computer Science or a related field.
Demonstrate expertise in Python, Java/Scala, and frameworks such as Spring Boot, FastAPI, Flask, and Django.
Gain practical expertise with Kubernetes and cloud platforms such as Azure, AWS, and GCP.
Work with large-scale data infrastructures and distributed systems architecture efficiently.
Understand core machine learning concepts, including supervised and unsupervised learning, model lifecycle, and evaluation metrics comprehensively.
Demonstrate experience with LLMs, Agents, generative AI, or AI-driven security tools without omitting any essential details.
Contribute to open-source projects or research initiatives within the fields of machine learning and artificial intelligence.

This position is open to all candidates.