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Salary: USD 199,100 - 348,400 / annual
Veza is ServiceNow's identity security platform for human, non-human, and AI agent access. The platform enables customers to see who and what has access to what, govern it, and remediate risk across cloud, SaaS, and on-premises systems. As the platform scales rapidly within ServiceNow's Security & Risk organization, this role shapes the next-generation architecture.
You will own the end-to-end architecture of the Veza platform, including the access graph, ingestion pipeline, authorization and policy engine, and services built on them. Key responsibilities include:
• Lead evolution toward a graph-native data model (Neo4j or equivalent) that scales to billions of relationships and complex permission hierarchies, setting standards every team builds to.
• Evolve the core graph and storage model for order-of-magnitude growth in customers, entities, and relationships, with a clear migration path from today's system and no customer disruption.
• Define architecture for non-human identity and AI agent security, making Veza the system of record for what agents can access, with governance, guardrails, and auditability.
• Set the AI architecture for Veza's own agents and features: agentic patterns, evaluation, observability, cost and capacity planning, and a multi-vendor LLM strategy that avoids lock-in.
• Modernize the integrations framework. Veza has 300+ integrations driving disproportionate support load. Establish a scalable, testable, self-service framework that raises reliability and cuts onboarding time.
• Architect how Veza fits into ServiceNow. Define the integration model, shared identity and data contracts, and UI surfacing patterns that deliver a unified customer experience without forcing a rewrite.
• Drive deployment flexibility: multi-region SaaS, data residency, regulated-industry requirements (e.g., EU financial regulation such as DORA), and federal-grade deployment.
• Govern architecture across teams. Run architecture reviews, manage tech debt and the security backlog, and make clear, documented build-vs-buy and sequencing decisions.
• Raise the bar on engineering practice, including heavy use of AI coding agents, automated testing coverage, defect escape reduction, and operational excellence with SRE.
• Represent Veza's architecture to executives, customers, partners, and ServiceNow leadership.
• Mentor architects and senior engineers and build the next layer of technical leadership.
Success in the first 12 months includes: a published, org-wide architecture vision and roadmap with committed milestones; an integrations modernization plan in flight with measurable reduction in escalations and onboarding time; a defined, adopted pattern for Veza-ServiceNow integration and UI surfacing; a sustainable architecture review and governance process; and clear architecture for agent and non-human identity security that product and sales can take to customers.
REQUIREMENTS:
Core:
• 15+ years in software engineering, with 5+ years as a staff/principal/chief architect, or equivalent, over a large multi-team platform.
• Deep experience designing multi-tenant, cloud-native SaaS at enterprise scale: distributed systems, large-scale data and graph systems, APIs, and microservices.
• Hands-on Kubernetes and cloud experience (AWS required; multi-cloud a plus) and modern DevOps, IaC, and SRE practices.
• Strong background in graph databases and data structures. Hands-on experience with Neo4j, or similar graph platforms; understanding of immutable or event-sourced storage models and their operational trade-offs.
• Track record of leading large architectural migrations in a live production system.
• Experience influencing without direct authority across multiple teams and geographies (US, EU, India).
• Executive-level communication, with the ability to write and defend an architecture decision to engineers, customers, and the C-suite.
• Strong proficiency in Python and Go or Java, with the ability to go deep in code and design reviews.
Security and Identity:
• Strong background in identity and access: IGA, IAM, PAM, authorization models, access reviews, lifecycle management, or adjacent security domains.
• Understanding of non-human identity (service accounts, secrets, API keys, workload identity) and emerging agent identity and authorization models.
• Experience building security products that meet their own security and compliance bar (SOC 2, FedRAMP or equivalent, data residency).
AI:
• Experience delivering production AI systems: LLMs, agentic architectures, RAG, evaluation, observability, guardrails, human-in-the-loop, and managing model cost and capacity.
• Active use of AI-native development tools (Claude Code, Cursor, Codex, or equivalent) and the ability to drive adoption across teams.
Preferred:
• Experience through an acquisition or platform integration, aligning an acquired architecture with a parent platform.
• Prior experience with integration-heavy platforms (hundreds of connectors) and the reliability challenges they bring.
• Familiarity with graph databases or immutable/event-sourced storage models.
• BS/MS in Computer Science or a related field, or equivalent experience.
