Senior Full Stack Engineer

About the Role We are engineering the future of cyber defense, building solutions to stop threats that are complex, invisible, and operate at machine speed. This mission is a massive technical challenge , requiring you to integrate real-time data pipelines, manage and model massive datasets, and deploy cutting-edge AI and machine learning models into production at scale. We are looking for the minds ready to make the invisible visible and actionable. Located in the heart of Tel Aviv’s tech hub, right next to the train. We maintain a high-intensity, energetic environment where great ideas move from the whiteboard to production in hours. We are ingesting a firehose of complex agent telemetry. Our mission is to transform raw, messy logs from 3rd-party platforms into a structured "truth" that our security models can act on. We are looking for a Data Engineer who views data pipelines as a high-performance engine, someone who can architect a robust system that handles scale without unnecessary "tech inflation." What You’ll Do Engineer the Pipeline: Design and maintain high-throughput ETL/ELT pipelines using distributed compute frameworks (e.g., Spark/Databricks) to process logs and API configurations. Integrate the Ecosystem: Build resilient connectors to pull data from third-party systems (such as Salesforce), mastering the nuances of various APIs and rate-limiting strategies. Data Modeling: Architect scalable schemas across relational databases (e.g., PostgreSQL) and high-performance storage layers (e.g., Delta Lake) to ensure the frontend can query security insights in real-time. Performance Tuning: Optimize data processing for both cost and speed, ensuring our digital twin reflects the latest telemetry with minimal latency. Full Ownership: Bridge the gap between raw ingestion and the backend services that power our UI. Your Technical Arsenal The Core: 5+ years of experience in Data Engineering with a focus on production-scale pipelines. Distributed Processing: Expert-level knowledge of large-scale compute engines (e.g., Spark) and modern lakehouse architectures to manage the data lifecycle. Code Quality: Mastery of Python and SQL; you write data jobs that are as clean, modular, and tested as application code. Infrastructure: Solid understanding of cloud environments (e.g., AWS S3/RDS) and how they interface with external platforms. Lean Engineering: A proven ability to build scalable systems without over-engineering or adding redundant layers. Why Join Us? High-Stakes Design: In a world of clunky legacy security software, we aim to be the "Linear" of Cyber Security. Impact: Your work will define the visual language of how humans interact with and control AI agents. Zero Bureaucracy: We are a lean, fast-moving team where great ideas (and great code) win. Show more Show less