Senior Software Engineer, AI & Cybersecurity (Core Group)

About The Position

XM Cyber is a global leader in hybrid cloud security. XM

Cyber brings a new approach that uses the attacker’s

perspective to find and remediate critical attack paths

across on-premises and multi-cloud networks. The XM

Cyber platform enables companies to rapidly prioritize and

respond to cyber risks affecting their business-sensitive

systems.

About the role:

Are you a super-talent Senior Software Engineer with a deep

passion for cybersecurity and a profound understanding of

AI-driven attack techniques? We are looking for a highly

professional and responsible R&D member to join our team.

This role is for someone who thrives on technical challenges

and is ready to leverage their expertise to identify, analyze,

and defend against advanced cyber threat

Responsibilities:

As a Senior Software Engineer in R&D, you will be a

key player in the design, development, and

deployment of our cybersecurity platform. Your

responsibilities will include:

• Leading the research and implementation of
  
  

techniques to identify and mitigate AI-related attack

methods, such as data manipulation and adversarial

attacks on security systems.

• Developing and integrating new security features into
  
  

our platform to proactively defend against modern

cyber threats.

• Collaborating with our team to define technical
  
  

requirements and architectural solutions for

cutting-edge security features.

• Tackling challenging technical problems at the
  
  

intersection of cybersecurity and low-level systems.

Requirements

We are looking for candidates with a minimum of 5

years of professional experience in software

engineering and deep expertise in the following

areas:

• Languages: Extensive experience with C/C++, Python,
  
  

JavaScript/TypeScript, and Scala.

• Distributed Systems: Proficiency with Node.js, Apache
  
  

Flink, Apache Spark, and Apache Airflow.

• Containerization & Orchestration: Strong knowledge
  
  

of Docker and Kubernetes (K8s).

• Microservices: Experience designing and
  
  

implementing microservices architectures.

• Big Data: Hands-on experience with big data
  
  

technologies and processing.

• Bonus: AI Knowledge