Staff Software Engineer, Platform Cryptography

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.

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 requirementsArchitect and operate mission-critical crypto services with reliability and security as first-class design constraints, not afterthoughtsOwn services end-to-end on Kubernetes in a multi-tenant SaaS environment - deployment, scaling, on-call, incident responseBring 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 teamEvaluate 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 distractionCollaborate with product owners, security architects, and platform teams to translate compliance and security requirements into working cryptographic frameworksMentor engineers on secure coding, cryptographic pitfalls, and design review rigorStay current on cryptographic advancements, including post-quantum readiness, and bring that forward before it's a compliance deadline Qualifications Qualifications 8+ years of experience in professional software engineering experience Java, Go, or a comparable strongly-typed language at production scale Strong CS fundamentals: data structures, algorithms, OO design, distributed systems tradeoffs Production experience running services on Kubernetes (deployments, Helm, CI/CD) in a SaaS/multi-tenant environment — this is assumed, not a differentiator Working understanding of core cryptographic primitives (symmetric/asymmetric encryption, hashing, digital signatures, TLS/PKI fundamentals) Demonstrated security-first engineering habits: secure coding practices, threat modeling, code review discipline Preferred qualifications Direct experience in cryptography, PKI, key management, or secrets management certificate lifecycle systems, HSM/KMS integration, or crypto-agility work Hands-on AI/ML exposure Experience applying ML techniques to