The Role
As a Data & AI Engineer, you will design and build data pipelines, collaborate on ML systems, and innovate AI-driven features for cybersecurity solutions.
Summary Generated by Built In
CYE is building a data-driven cybersecurity optimization SaaS platform that allows organizations to continually improve their cyber resilience. Using our platform, organizations can find, evaluate and fix the weakest links in their networks.
At CYE we understand that the best results are achieved by combining the power of AI with human expertise. That’s why we’ve built a world-class team of cybersecurity experts that augment the power of our platform.
We’re expanding our Data & AI group and looking for a passionate and skilled Data & AI Engineer to join our mission. This is a unique opportunity to work at the intersection of data engineering, machine learning, and cybersecurity innovation.
You'll work on
- Data Infrastructure & Engineering: Design, build, and scale production-grade data pipelines using Databricks and Spark. Ensure high levels of data integrity, system performance, and platform reliability.
- AI & ML Collaboration: Collaborate with Data Scientists, Security Researchers, and Engineers to transform and deliver data for ML and GenAI model development. Build proof-of-concepts (POCs) to streamline operations such as model debugging, visualization, and experimentation.
- Innovation & AI Systems: Prototype and integrate agentic workflows and LLM-powered systems (e.g., RAG, AWS Bedrock, LangGraph). Identify and develop intelligent, data-driven features that provide actionable insights to customers.
You'll be a fit for this role if you
- Deep understanding and hands-on experience with data lake architecture, real-time and batch processing.
- Familiarity with tools like Spark, Kafka, Databricks, and SQL.
- Experience designing systems powered by LLMs (e.g., OpenAI, Anthropic).
- Skilled in Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, vector databases, and LLM orchestration frameworks (e.g., , LangGraph, OpenAI Agents SDK).
- Understanding of multi-agent design, memory, tool-use orchestration, and autonomous reasoning agents.
- 3+ years of Python development experience in production environments.
- Proficiency with Git, CI/CD practices, and deploying data/ML pipelines at scale.
- Experience maintaining scalable, reliable ML/AI workflows in cloud-native environments.
- Background in cybersecurity, threat intelligence, or exposure to security-focused data models - advantage
- Strong grasp of non-functional requirements: performance, reliability, scalability, observability. And awareness of COGS optimization and FinOps practices in SaaS data systems - advantage
About us
CYE’s exposure management platform, Hyver, transforms the way security teams protect their organizations. With CRQ at its core, Hyver reveals exposure in financial terms, visualizes attack routes to critical business assets, and creates tailored mitigation plans. Founded in 2012, CYE has served hundreds of organizations globally.
Top Skills
Aws Bedrock
Ci/Cd
Databricks
Kafka
Langgraph
Openai
Spark
SQL
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The Company
What We Do
CYE’s optimized cyber risk quantification platform and expert guidance transform the way organizations manage cybersecurity.
Using AI, machine learning, and innovative technology, CYE visualizes attack routes, quantifies, mitigates, and communicates cyber risk, and matures organizational cybersecurity posture. In doing so, CYE provides clear and relevant insights that empower companies to make effective cybersecurity decisions. The company serves organizations in multiple industries globally.
Founded in 2012, with headquarters in Israel and operations around the world, CYE is funded by EQT Private Equity and 83North.
