Engineering Manager - Agentic Workflows (Falcon Cloud Security)

CrowdStrike

CrowdStrike

Software Engineering, Other Engineering
Tel Aviv-Yafo, Israel
Posted on Mar 26, 2026

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:
The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows — a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

  • Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

  • Stay Hands-On: Remain an active technical contributor — designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

  • Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

  • Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

  • Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

  • Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

  • Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

  • Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.


The Technology Stack:

  • Languages: Go (Golang), Python, Java

  • Cloud: AWS, GCP, Azure, and Kubernetes

  • Data & Streaming: Kafka, Apache Spark, Opensearch, Cassandra, Redis

  • Infrastructure: Docker, Git



What You'll Need:

  • Experience: 8+ years of backend engineering experience, with at least 2 years in an engineering leadership role (Tech Lead, Staff Engineer, or Engineering Manager). Strong proficiency in Go and Python.

  • People Leadership: Demonstrated ability to hire, mentor, and develop engineers at varying levels. Comfortable balancing technical contribution with team management responsibilities.

  • AI/LLM Experience: Prior experience building workflows powered by LLMs, RAG, or autonomous agents. Strong understanding of agent frameworks and key components including model integration, tool calling patterns, and Model Context Protocol (MCP).

  • Cloud Expertise: Deep knowledge of at least two major cloud providers (AWS, Azure, or GCP).

  • Systems Engineering: Strong understanding of distributed systems, scalability, concurrency, and resilient architecture.

  • Data Proficiency: Solid experience with data modeling, RDBMS (SQL), and distributed caching solutions like Redis.

  • Education: BS/MS in Computer Science or equivalent professional experience in data structures and algorithms.


Bonus Points:

  • Cybersecurity Background: Experience in threat detection and response, identity management (IAM), data security, or cloud security posture management.

  • Big Data: Experience with analytical databases and petabyte-scale data processing.

  • AI-Native Tools: Familiarity with Loveable, Replit, MCP, n8n.



#LI-DM2

#LI-DM2

Benefits of Working at CrowdStrike:

  • Market leader in compensation and equity awards

  • Comprehensive physical and mental wellness programs

  • Competitive vacation and holidays for recharge

  • Paid parental and adoption leaves

  • Professional development opportunities for all employees regardless of level or role

  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

  • Vibrant office culture with world class amenities

  • Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

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