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

Our analytics platform powers our portfolio. Data is growing rapidly and is highly fragmented across different departments, and organizations are looking to adopt open software to keep up with the pace of technology. These market shifts require security organizations to deploy an analytics platform that can connect different solutions from either us or third parties to effectively develop new capabilities.

Although you have a strong passion for Java and JavaScript, you are an open-minded, tech-savvy developer who is enthusiastic about learning and working with a variety of technologies.

You will:
Design, develop and deploy microservices and SPA web applications for handling and analyzing mass amounts of data over a distributed environment with a focus on high availability, low latency, and scalability.
Work using Scrum as a part of a friendly team.
Collaborate with Product Owners, Architects, and Software Engineers from several countries on your way to identify and solve challenging problems.
Take part in technical decisions and strategy to further the long-term product vision.
Contribute to the design, architecture and refactoring of the product
Perform code reviews and mentor junior and mid-level engineers.

Requirements:
For that mission youll need:
At least 8 years hands-on experience in Java (Spring Framework an advantage) and preferably hands-on frontend development experience in JavaScript React.
Hands-on experience building microservices in cloud (preferably GCP/AWS/Azure) environments using cloud native technologies (such as: Kubernetes, Docker).
Experience in designing and implementing large-scale distributed systems using technologies such as Apache Kafka, RabbitMQ, or similar.
Experience with both relational (preferably PostgreSQL/MySQL) and NoSQL databases (such as: MongoDB).
Experience with Elasticsearch(an advantage).
Strong understanding of testing methodologies with a focus on ensuring code quality, reliability, and scalability in production environments.
Familiarity with AI/MLworkloads execution (an advantage).

This position is open to all candidates.