Principal Software Engineer | Data Science

About This Opportunity

We are representing a confidential cybersecurity organization that is seeking a Principal Software Engineer to join their Data Science team. This is a remote opportunity based in the USA, offering the chance to work on cutting-edge AI/ML systems that protect enterprise networks from evolving cyber threats.

In this role, you will serve as a technical anchor for network detection and response products, driving the architecture and execution of high-impact engineering initiatives. You will work with significant autonomy, influencing engineering direction across teams while delivering software that addresses sophisticated challenges in network security.

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
• Provide technical mentorship to software engineers on the team, fostering a culture of continuous learning, optimization, and rigorous engineering discipline

What We're Looking For

Required Qualifications:

• 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

Preferred Qualifications:

• Strong fundamental understanding of network telemetry and protocols
• Prior experience working in the cybersecurity domain and familiarity with threat actor techniques and common network attack vectors
• Deep experience with cloud services on AWS or Azure
• Deep experience with containerization and orchestration technologies including Docker and Kubernetes at production scale
• Strong written and verbal communication skills, including the ability to influence technical and non-technical audiences at the executive level

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and conduct an initial screening to understand your experience and career goals. If there's a strong match, we will submit your profile to our client for consideration. Please note that you should not contact the client directly—we manage all communication and coordination throughout the interview process to ensure the best outcome for all parties.

Pay

Our client offers a competitive compensation package. Specific pay details will be discussed during the screening process based on your experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to creating a diverse and inclusive environment. We provide equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or any other legally protected status.