Drimva

ServiceNow

Sr Software Engineering Manager - Veza

$191K–$334K

Santa Clara, CALIFORNIA, United States · Manager · Full-time · Posted Oct 16, 2026

Experience
10+ years in backend software engineering and 4+ years in engineering leadership.
Visa sponsorship
For positions requiring access to controlled technology subject to export control regulations, employment is contingent on obtaining any required export license or other approval.

About the job

Leads Veza’s NHI and Agent Security engineering team, setting technical direction and delivering identity governance and security capabilities for non-human identities and AI agents.

What you'll do

  • Set the team’s technical vision, roadmap, architecture, and engineering practices; guide technical decisions and reviews.
  • Lead, mentor, hire, and develop engineers and tech leads while planning execution and delivery.
  • Partner with Product, Integrations, Platform, Graph, and ServiceNow teams to advance agent identity security and next-generation identity governance.

What they ask for

  • 10+ years of backend software engineering experience focused on distributed systems or identity security.
  • 4+ years of engineering leadership experience.
  • Experience with cloud platforms (AWS, Azure, or GCP), distributed systems, and containerization such as Kubernetes.
  • Experience with authentication, authorization protocols, and IAM concepts; proficiency in one or more of Go, Java, or Python.

Nice to have

  • Experience integrating AI/ML into product workflows or using AI to improve product experience or system intelligence at scale.
  • Familiarity with emerging AI technologies and frameworks, IGA, and AI-driven tools for team productivity.

Pay

$190,900 - $334,100 USD base pay

Tools

AWS, Azure, GCP, Kubernetes, Go, Java, Python, AI/ML

AI focus

Leads security capabilities for AI agents, including agent discovery, action auditing, runtime authorization, and least-privilege access; the posting also prefers AI/ML integration into product workflows and AI adoption to improve engineering productivity.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)