Principal Software Engineer | Data Science
New
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ExtraHopCybersecurity
Remote | Seattle, WAFull-TimePrincipal
Salary$175,000 - $195,000 + bonus + benefits
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonCloud ComputingCybersecurityMachine LearningSoftware ArchitectureData scienceGo
Requirements
- Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 8+ years of professional software engineering experience, with at least 2 years in Principal, Lead, or Staff capacity shipping enterprise-grade software.
- Expert-level programming skills in Python and Go, with an emphasis on writing production-quality, well-tested, and modular code.
- Experience in machine learning, statistics, or a related quantitative discipline.
- Experience building or operating production AI/ML systems, including model lifecycle management, data/training pipelines, and monitoring.
- Expertise in applying machine learning or data science techniques to cybersecurity use cases such as anomaly detection, behavioral analysis, or threat classification.
- Advanced understanding of threat detection methodologies, intrusion prevention systems, and incident response workflows.
Responsibilities
- Design, write, and maintain robust, high-performance software to deploy AI/ML models that analyze network traffic for anomalous or malicious behaviors.
- Design and develop autonomous AI agent architectures and multi-agent workflows.
- Collaborate with data scientists, threat researchers, and cloud teams to build high-performance services, pipelines, and tooling that accelerate ML experimentation and production workflows.
- Drive engineering excellence across teams through code reviews, design reviews, and the establishment of standards, patterns, and best practices.
- Lead cross-functional technical initiatives and represent engineering in conversations with senior leadership and external stakeholders.
- Contribute to product strategy by bringing deep technical insight to roadmap discussions, build-vs-buy decisions, and competitive differentiation.
- Lead by example. Provide technical mentorship to software engineers on the team, fostering a culture of continuous learning, optimization, and rigorous engineering discipline.
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