Senior Pipeline Engineer

Job Description

Check Point is a leader in cyber security — and we're the startup inside it. Our team builds Check Point's workspace security platform, AI-driven end to end: agents that correlate alerts and detections from a multitude of security products into complete attack stories with remediation, and turn configuration events into posture recommendations. With strong initial market validation, we're eager to deliver and grow fast — startup pace and ownership, backed by the reach, data and security research of an industry leader.

Responsibilities

• Design and build the pipeline that correlates alerts and detections from multiple security products into coherent, complete attack stories with actionable remediation
• Build AI agents at the heart of the product, including prompt engineering, tool integration, evaluation frameworks, model migrations, and production-grade quality, latency, and cost optimization
• Design event-driven, high-scale services on AWS managed services, along with the underlying data models and query paths
• Own your domain end-to-end in production, including data, dashboards, alerts, and reliability
• Work directly with Product Managers and Security Researchers to define what constitutes a correct attack story and a useful recommendation
  
  

• 4+ years of hands-on experience with AWS and its managed services
• Proven experience leveraging AI in production products, including LLM and agent integration, prompt and tool design, evaluation, latency optimization, and cost control
• Demonstrated use of AI tools in day-to-day software development workflows
• Experience designing and implementing event-driven and microservices architectures
• Strong experience with data pipelines and databases, including schema design, query optimization, and large-scale systems
• B.Sc. in Computer Science from a leading university or college
• Self-starter with a strong sense of ownership who thrives in a small, fast-paced environment
• Passion for engineering excellence and product delivery, with a focus on both code quality and customer impact
  
  

• Hands-on Python experience; our primary technology stack is Python
• Cybersecurity background, including detection engineering, incident response, SOC workflows, or security products
• Data engineering background, including large-scale data ingestion, analytical data stores, and stream-processing systems