About The Position

The Senior Software Engineer will build and maintain Access Security features for the ServiceNow Veza Identity solution. The role focuses on using AI to improve access intelligence, risk detection, and remediation workflows, helping enterprise customers identify risky access, prioritize remediation, and reduce exposure. The engineer will contribute across the full stack, from React-based user interfaces and API design to secure, scalable backend services and AI-assisted workflows for enterprise environments. The position involves shaping customer-facing experiences and the services behind them, turning complex access intelligence into intuitive workflows, responsive interfaces, and reliable APIs. The engineer will own end-to-end feature delivery from product discovery and architecture through implementation, release, operational oversight, and ongoing stability, while influencing technical direction at the intersection of identity security, AI, and product engineering.

Requirements

  • At least 8 years of full-stack software development experience building complex enterprise production software across frontend and backend systems.
  • Practical experience integrating AI, machine learning, or LLM capabilities into production workflows, such as decision support, risk analysis, automation, or security-focused access intelligence.
  • Strong proficiency in Go, JavaScript, and TypeScript, and experience with other key languages such as Python or Java.
  • Ability to make sound architectural decisions across frontend and backend systems.
  • Experience applying modern frontend engineering practices, including component design, state management, accessibility, observability, and frontend performance optimization.
  • Expertise designing and implementing RESTful, GraphQL, and gRPC APIs.
  • Proficiency in data modeling, SQL, relational databases such as PostgreSQL, and graph technologies.
  • Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization.
  • Proven ability to deliver complete end-to-end solutions from conception to launch.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Strong written and verbal communication skills.

Nice To Haves

  • Prior experience in Identity and Access Management (IAM), IGA, and PAM solutions.
  • Experience with AWS, Azure, or GCP and containerization technologies such as Docker and Kubernetes.
  • Hands-on familiarity with LLM frameworks and provider libraries such as OpenAI, Anthropic, or Google.
  • Familiarity with automated testing frameworks and integrating tests into CI/CD pipelines.
  • Strong sense of ownership and customer focus, passion for user experience, and interest in emerging technologies and industry trends.

Responsibilities

  • Partner with product, design, and engineering leaders to define product experiences that balance customer value, usability, technical depth, performance, and business impact.
  • Promote responsible use of LLM frameworks, AI agents, and AI-driven access intelligence for enterprise identity and access use cases.
  • Explore emerging identity and access management technologies and patterns to improve customer value, resilience, scalability, and performance.
  • Contribute to architecture, design, quality, performance, maintainability, and code reviews across team deliverables.
  • Integrate automated testing into development workflows to ensure consistent release quality.
  • Design and build intuitive, performant user interfaces for investigating access risk, understanding recommendations, and taking remediation actions.
  • Improve engineering practices and quality standards, including testing, reliability, and production readiness.
  • Own end-to-end feature delivery, from product discovery and architecture through implementation, release, operational oversight, and ongoing stability.
  • Build full-stack Access Security features, including React interfaces, APIs, scalable backend services, and AI-assisted workflows.
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