דרושים » אבטחת מידע וסייבר » Cyber expert

We are looking for a strong, motivated, and highly technical manager that can lead the research team. You will promote and choose the right security approaches. With R&D mindset, that the research outcome will be integrated to our product.

The position allows gaining extensive knowledge about security related based on Machine Learning algorithms that would help to secure organizations network, include the IoT devices. You will be able to directly impact protections against major vulnerabilities.

Key Responsibilities
Leading the data & research of Check Points Autonomous firewall and IoT security solution.
Working in a development group that is in charge of releasing security solutions for Check Points customers.
Work with data throughout all the pipeline from Data Engineering, Data Analytics to ML/AI models.
Collaborate with all the data & research related groups within Check Point.
Writing protections to various attacks, and investigating IoT devices and understand their network footprints and integration with other systems.
Build ML/AI solutions together with a strong partnership with our engineering team.
Productization & development of technologies from POC stage into an enterprise scale security solution.
Work closely with other development teams, QA, product management and customers.
Train & mentor junior developers.

Want to be part of a team that is changing how we fight fraud? We are a unique team at Intuit that is focused on finding and quantifying fraud vulnerabilities before they are abused by adversaries. In this role, you will learn how adversaries think and work, using your engineering skills to find new and unknown fraud vulnerabilities through both manual and automated testing across Intuits products and in doing so you will help protect Intuit and its millions of customers from fraud and abuse.
Responsibilities
How youll lead
Become experts at our products looking from the outside in
Use your skills to find fraud vulnerabilities across the Intuit ecosystem
Write scripts to mimic different types of fraud and adversary activity
Work closely with policy, data science and product teams in order to identify close fraud vulnerabilities
Work closely with product, R&D and other stakeholders to build out tools that can be used to find fraud vulnerabilities
Create POCs and internal tools that are designed to make the teams work more efficient and effective