ServiceNow
Principal Software Engineer
$221K–$387K
Santa Clara, CALIFORNIA, United States · Principal · Full-time · Posted Oct 20, 2026
- Experience
- 15+ years of software engineering experience, including significant technical and engineering leadership responsibility.
- Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience.
About the job
Leads the architecture and delivery of AI-native security products that use advanced AI to solve cybersecurity problems and operate reliably at enterprise scale.
What you'll do
- Set technical vision, architecture, and engineering standards for AI-native security solutions.
- Partner with product, UX, security, customers, and engineering teams to turn high-value problems into differentiated products; represent technical strategy to stakeholders.
- Lead and mentor engineers, champion AI-native development practices, and drive cross-team initiatives.
What they ask for
- 15+ years of software engineering experience, including significant technical and engineering leadership responsibility.
- Production experience designing and delivering AI/ML-powered products and platforms, including modern AI systems and agentic architectures.
- Strong software architecture and backend experience with distributed systems, APIs, microservices, cloud-native platforms, and enterprise-scale workloads.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience.
Nice to have
- Cybersecurity product experience or deep familiarity with security architectures and operations.
- Experience with Java, Go, or similar languages.
Pay
$221,200 - $387,100 USD base salary
Tools
React, Node.js, Python, Java, REST, GraphQL, SQL, AWS
AI focus
Build production AI-native security solutions using frontier models, agentic AI, reasoning, retrieval, knowledge systems, and advanced ML; apply AI to cybersecurity problems and use AI coding agents and autonomous development, testing, evaluation, and operational workflows.
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