Senior Software Engineering Manager (Veza)

ServiceNow

Santa Clara, CA, United States Posted November 1, 2026

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On-site Full-time Senior
Salary Range

$190,900 - $334,100

Job Description

Join Veza, a leading company in next-generation security. As a Senior Software Engineering Manager, you will lead the NHI and Agent Security team, driving innovation and shaping industry standards. You will own the technical vision and roadmap, drive architecture and design patterns, and ensure high performance and reliability. You will also lead and mentor a team of backend software engineers and tech leads.

  • Own the technical vision and roadmap for Veza's NHI and Agent Security team, driving architecture, design patterns, and engineering best practices.
  • Lead, mentor, and grow a team of backend software engineers and tech leads, building individual development plans and creating stretch opportunities.
  • Shape the long-term agent identity security roadmap alongside the Product team and help define industry standards for discovering agents, auditing actions taken on agents.
  • 10+ years of experience in backend software engineering with a strong focus on distributed systems, or identity security, and 4+ years in an engineering leadership role - ideally spanning both startup and enterprise SaaS environments
  • Familiarity with IGA or how traditionals systems are evolving with Agents
  • Experience integrating AI/ML models into product workflows, or leveraging AI to enhance product experience, or system intelligence at scale - strongly preferred
  • Experience with authentication, authorization protocols, and IAM concepts — understanding how identity and access relationships are structured across complex enterprise environments
  • Hands-on engineering background with proficiency in one or more of Go, Java, or Python — comfortable diving into the codebase and engaging at a technical depth appropriate for a player-coach role
  • Deep familiarity with cloud platforms (AWS, Azure, or GCP), distributed systems, and containerization technologies such as Kubernetes
  • Familiarity with emerging AI technologies and frameworks, with a track record of driving AI adoption and leveraging AI-driven tools to enhance team productivity and engineering efficiency
  • Strong organizational and project management skills - able to run multiple workstreams, maintain engineering cadence, and keep delivery on track without micromanaging
  • Demonstrated ability to lead and grow a fully distributed, high-performing engineering team - hiring, onboarding, mentoring, and retaining strong engineers and tech leads
  • Clear, proactive communicator who can translate complex technical concepts for both engineering teams and senior leadership
  • Low ego, high intellectual curiosity - you hire people smarter than you and create the conditions for them to do their best work
  • Relentlessly high standards - never satisfied with the status quo, always looking for a better way
  • Able to dive deep without losing sight of the big picture - never out of touch with the technical details, never lost in them either
Required Skills
software development roadmapping design patterns audit distributed systems leadership artificial intelligence Java Python Amazon Web Services Azure Google Cloud Platform Kubernetes project management onboarding mentoring
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