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 asymmetric encryption, hashing, digital signatures, and TLS/PKI fundamentals.
Demonstrated security-first engineering habits, including secure coding practices, threat modeling, vulnerability management, and rigorous 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 security/ops problems (anomaly detection, risk scoring, log/telemetry analysis) or critically integrating LLM tooling into engineering workflows
Experience with regulated environments (FIPS 140-2/3, FedRAMP, common criteria, or similar)
Exposure to post-quantum cryptography
Track record mentoring engineers and raising the security bar on a team, not just shipping features
For positions in this location, we offer a base pay of $166,500 - $291,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Employment type
Full-time

Work arrangement
Hybrid