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ServiceNow's Architecture Consulting & Engineering Services (ACES) team is seeking an experienced Applied Security Engineer to join a security-focused consulting and engineering organization that partners with Fortune 500 and highly regulated customers. This role sits at the intersection of customer engagement, security engineering, cloud architecture, and AI security—not a traditional consulting role nor a traditional product security role, but a hands-on security practitioner position.
You will work directly with Fortune 500 organizations, including major financial services and healthcare institutions, helping them securely adopt ServiceNow platform capabilities, AI solutions, cloud services, and emerging technologies. The role requires technical depth, customer credibility, and the ability to translate complex security concepts into practical architectural guidance.
Key responsibilities include:
- Partnering directly with customer security, architecture, engineering, risk, compliance, and executive stakeholders to address security concerns and accelerate platform adoption
- Developing customer-facing security reference architectures that articulate trust boundaries, data flows, identity models, encryption controls, and shared responsibility models
- Performing threat modeling exercises for ServiceNow products, AI services, integrations, and customer deployment architectures
- Analyzing security architectures across cloud-native and distributed systems environments
- Leading security deep dives covering networking, identity, encryption, data protection, application security, and AI security controls
- Evaluating customer security requirements and mapping them to ServiceNow platform capabilities and industry best practices
- Working closely with Product Management, Engineering, Product Security, and Architecture teams to identify capability gaps and advocate for customer-driven improvements
- Building scalable artifacts including architecture patterns, deployment guides, implementation accelerators, technical whitepapers, detection content, and security design documentation
- Assessing integrations involving AI, cloud services, APIs, Kubernetes environments, data platforms, and third-party technologies
- Helping define secure deployment patterns for emerging AI capabilities including agents, model integrations, governance controls, and data protection mechanisms
- Representing ServiceNow security architecture and best practices during customer workshops, architecture reviews, executive briefings, and security assessments
You'll have the opportunity to shape product direction, influence engineering roadmaps, develop industry-leading security architectures, and help define how ServiceNow brings secure AI and cloud-native innovation to the world's most demanding customers.
REQUIREMENTS:
- 5+ years of hands-on experience in security engineering, security architecture, cloud security, application security, product security, or related disciplines
- Strong understanding of core security principles including identity and access management; authentication and authorization; network security; cryptography and key management; data protection and privacy; security monitoring and incident response; and secure software development
- Experience assessing and securing cloud-native architectures
- Strong knowledge of Kubernetes, container security, service-to-service communications, workload isolation, and modern application deployment patterns
- Experience with one or more major cloud providers: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Experience conducting threat modeling using frameworks such as STRIDE, ATT&CK, PASTA, or similar methodologies
- Ability to build and communicate architecture diagrams that clearly articulate data flows, trust boundaries, security controls, and deployment models
- Strong written and verbal communication skills with the ability to engage audiences ranging from engineers to CISOs
- Experience presenting security recommendations and architectural guidance to customers and executive stakeholders
- A curious mindset and willingness to continuously learn emerging technologies including AI, cloud-native platforms, and modern security architectures
PREFERRED QUALIFICATIONS:
- Experience supporting Fortune 500 or highly regulated enterprise customers
- Experience working with financial services, healthcare, or public sector organizations
- Knowledge of AI security, AI governance, model risk management, prompt injection risks, agentic systems, and emerging AI threats
- Experience using AI technologies to improve security operations, threat detection, security analysis, or engineering productivity
- Familiarity with JavaScript, scripting, or automation development
- Experience with the ServiceNow platform
- Experience developing security reference architectures, implementation patterns, or technical guidance consumed at scale
- Industry certifications such as CISSP, CCSP, AWS Security Specialty, Azure Security Engineer, GSEC, GIAC, OSCP, or equivalent
