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Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsofts mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world
Responsibilities
Research and develop detection methods for new and advanced attack techniques -from exploits to implants. Build end-to-end PoCs, from offensive testing to scalable detection, across all our cloud and identity platforms. Stay up to date on the latest attack trends and build strong detections across the kill chaincovering agentic AI & LLM threats, cloud and identity-based attacks. Collaborate with multiple product and engineering teams to design the next iteration of security products, implement detection ideas and validate their effectiveness using a data-driven approach. Collaborate with data science teams to drive ML based protections, understand, and identify detection gaps, capabilities, assumptions, and improvements. Provide cybersecurity expertise as needed during security escalations and incidents to help protect Microsoft and our customers.

We are looking for a passionate and skilled Team Leader to join and lead our Network Threat Prevention group. This is a unique opportunity to lead a talented team of engineers working on the front lines of Cyber Security, delivering real-time protections against network threats and vulnerabilities affecting millions of users globally.

As a leader in this group, you will drive the development of innovative security solutions, lead research into cutting-edge network threats, and ensure timely delivery of protections in response to the rapidly evolving threat landscape.

Key Responsibilities
Lead a team of security researchers and engineers in developing network threat protections for Check Points Network Security products.
Guide the team in analyzing emerging vulnerabilities, attack techniques, malware campaigns, and network applications.
Oversee the development and release of detection and prevention signatures and updates across the companys product lines.
Collaborate closely with product management, QA, and global threat intelligence teams to align goals and deliver effective protections.
Drive the teams technical vision, mentor team members, and help them grow in both skills and impact.
Ensure high quality, performance, and stability of security updates delivered to customers.
Maintain awareness of the latest industry trends and technologies in network security and threat research.

Were looking for a Cyber & Data Analyst with a hackers curiosity and a data scientists precision, ready to craft high-fidelity detections and AI-powered insights. Youll be diving into huge log datasets in Azure (ADX), designing custom detection algorithms, and experimenting with advanced statistical models and AI techniques to detect hidden patterns and anomalies. This is a hands-on, impact-driven role where cyber expertise meets big data.

Key Responsibilities
Research, design, and deploy next-gen XDR and NDR detection rules across massive cybersecurity log datasets.
Hunt for unknown threats by analyzing attacker TTPs, malware behaviors, and building proactive detections.
Dive into large-scale data lakes to uncover anomalies, trends, and new detection opportunities, turning raw data into actionable algorithms.
Collaborate with cross-functional teams to build content-driven security features that raise the bar for detection quality.
Experiment with new AI models and advanced analytics to shape the future of cyber detection.