Senior Pipeline Engineer

Key Responsibilities 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 Qualifications 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 Advantages 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 Show more Show less