Staff Software Engineer, Platform Cryptography 

Team Platform Security builds foundational security infrastructure and AI-driven detection systems for enterprise-scale operations. Our mission is to make security proactive, intelligent, and seamlessly integrated into the ServiceNow platform. Cryptography within Platform Security owns the cryptographic backbone of the ServiceNow platform across multiple domains: certificate lifecycle, key management, secrets distribution, and workload identity for a SaaS platform. This is core, regulated-environment security engineering Role Summary  As a Staff AI Security & Crypto Engineer, you will architect and deliver enterprise-scale security solutions that integrate cryptographic systems with machine learning, reasoning engines, and real-time inference. You will bring deep expertise in applied cryptography, strong technical leadership, and hands-on machine learning depth — designing and operating intelligent, adaptive security systems for key management, PKI, and secrets infrastructure at SaaS scale. What you get to do in this role : • Design, build, and maintain high-quality, scalable, secure cryptographic services meeting FIPS compliance and regulated-environment requirements • Architect and operate mission-critical crypto services  with reliability and security as first-class design constraints • Own services end-to-end on Kubernetes in a multi-tenant SaaS environment - deployment, scaling, on-call, incident response • Bring a security mindset to every design review: threat model the feature, not just the happy path — this is a deliberate area we're leveling up as a team • Evaluate where AI/ML has a legitimate role in the crypto/security space — anomaly detection in key usage, ML-assisted certificate lifecycle risk scoring, AI-assisted code review for cryptographic anti-patterns — and separate that from where it's a distraction • Collaborate with product owners, security architects, and platform teams to translate compliance and security requirements into working cryptographic frameworks • Mentor engineers on secure coding, cryptographic pitfalls, and design review rigor • Stay current on cryptographic advancements, including post-quantum readiness, and bring that forward before it's a compliance deadline   Qualifications • 8+ years of professional software engineering experience building and operating large-scale, production-grade applications and services. • Strong proficiency in Java, Go, Python, Node.js , or other strongly typed programming languages used at production scale. • Experience developing modern web applications and platforms using frameworks such as React, Angular, or Vue . • Strong computer science fundamentals, including data structures, algorithms, object-oriented design, and distributed systems tradeoffs. • Experience designing and implementing APIs and service integrations using REST, GraphQL , and modern backend architectures. • Hands-on experience with SQL and NoSQL databases in high-scale, cloud-native environments. • Proven experience building and operating services on Kubernetes , including deployments, Helm, CI/CD, observability, and multi-tenant SaaS environments. • Experience with public cloud platforms such as AWS, Azure, and/or GCP . • Proficiency with modern DevOps and platform engineering practices, including Docker, Kubernetes, GitHub Actions, Jenkins, ArgoCD , and infrastructure automation. • Experience leveraging AI-powered developer tools such as GitHub Copilot, Cursor, Codeium , or similar solutions to improve engineering productivity. • Familiarity with integrating and building applications using modern AI and LLM platforms, including OpenAI, Anthropic, or comparable foundation model APIs . • Working understanding of core cryptographic primitives, including symmetric and asymme