Principal Software Engineer, Data Normalization & Enrichment

October 17

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Expel

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Cybersecurity • SaaS • Technology

Expel is a leading cybersecurity company specializing in Managed Detection and Response (MDR) services. They offer a range of solutions, including phishing investigation, threat hunting, and vulnerability prioritization, tailored for organizations of all sizes with 24x7 protection. Expel's Security Operations Platform, Expel Workbench™, integrates with existing tech to enhance security operations. Their expert team and advanced technology help reduce alert noise, respond swiftly to incidents, and improve overall security posture, enabling organizations to focus on core business activities without worrying about cybersecurity threats.

201 - 500 employees

Founded 2016

🔒 Cybersecurity

☁️ SaaS

📋 Description

• lead the technical architecture of our Data Normalization and Enrichment services • architect and own the real-time systems that transform raw security logs into structured, enriched data • drive the technical strategy for enriching data, integrating threat intelligence and contextual information • collaborate closely with detection and response engineers to deliver data that empowers them • mentor other engineers and set standards for performant, resilient, scalable data transformation systems

🎯 Requirements

• 10+ years of professional software engineering experience • professional experience developing in Go and/or Python • expertise in real-time data processing and stream-based architectures (e.g., Kafka, Flink, Beam) • strong understanding of data serialization formats (e.g., Avro, Protobuf) • proven experience with data modeling • familiarity with common information models like OCSF • hands-on experience with cloud and data technologies like Google Cloud (BigQuery, Pub/Sub) or AWS equivalents • ability to lead through influence and communicate complex ideas clearly

🏖️ Benefits

• unlimited PTO • work location flexibility • up to 24 weeks of parental leave • health benefits