Principal Data Engineer

• Build and maintain a large-scale, data-oriented product specifically tailored for healthcare customers.

• Design, implement, and scale data pipelines capable of reliably handling up to 300,000 requests per second.

• Utilize state-of-the-art tools, including ClickHouse and Quickwit, to develop security products such as Network Detection and Response (NDR) and Policy and Risk Management (PRM).

• Own the complete feature lifecycle, from initial concept and design through development, production deployment, and monitoring.

• 5+ years of professional backend development experience, with demonstrated proficiency in Python preferred.

• Expertise in architecting and deploying scalable systems within SaaS and cloud technology environments.

• Proven experience designing and implementing streaming or data-warehouse solutions for processing large-scale datasets.

• Strong command of database design principles, including working with and optimizing large-scale production datasets.

• Professional background in the cybersecurity domain or with IOT/IOMT systems.

• Hands-on experience with core components of the current tech stack, including PostgreSQL, Redis, or Dagster.

• Practical experience utilizing high-performance data technologies such as ClickHouse or Quickwit.

• Familiarity with message brokers (e.g., RabbitMQ) for asynchronous processing in a distributed system.

• Experience taking full ownership of features from design through to production.

• Prior success working within cross-functional teams in an innovation-driven environment.

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