Sr Software Engineer - Veza

Company Description

Veza(part of ServiceNow now) is the pioneer in identity security, purpose-built to answer the fundamental question enterprises face: who can and should take what action on what data. Veza's Access Graph platform maps an organization's entire identity ecosystem  across users, groups, roles, policies, permissions, and resources  providing deep visibility and control over human, non-human, and agentic identities across SaaS, cloud, on-prem, and custom applications. With over 30 billion access permissions under management, global enterprises including Blackstone, Expedia, and Wynn Resorts trust Veza to manage privileged access monitoring, non-human identity security, access entitlement management, and next-generation identity governance.  

Founded in 2020 , Veza is now part of the ServiceNow family, with the acquisition closing in March 2026. The combination brings together Veza's AI-native Access Graph with ServiceNow's AI Control Tower and agentic workflows, enabling organizations to enforce end-to-end identity security rooted in the principle of least privilege across applications, data, cloud environments, and AI agents. For engineers joining Veza today, this means the scale and resources of an enterprise platform company, with the product velocity and mission-driven focus of a security innovator at a pivotal moment in the industry. 

 

Job Description

About the Team: 

The Access Security team is building the intelligence layer for the ServiceNow Veza Identity solution, helping enterprises answer one of their most important security questions: who and what can access critical resources, and what should be done about it? We turn complex identity and access data into clear, actionable product experiences so customers can uncover risky access, prioritize remediation, and reduce exposure before issues become incidents. 

We are looking for a full stack Senior Software Engineer to design, develop, optimize, and maintain Access Security features that use AI to improve access intelligence, risk detection, and remediation workflows. You will collaborate with cross-functional teams to deliver end-to-end product experiences, from React-based interfaces and API design to secure, scalable backend services and AI-assisted workflows that operate reliably in enterprise environments. This role requires expertise in Go, Python, JavaScript, and React, practical AI integration experience, and ownership across the full software development lifecycle. 

As a full stack engineer, you will shape both the user experience and the services behind it, translating complex access intelligence into intuitive workflows, responsive interfaces, and reliable APIs that help security teams move from insight to action. 

What you’ll do:  

• Partner with product, design, and engineering leaders to define product experiences that balance customer value, usability, technical depth, performance, and business impact. 
• Champion the responsible use of LLM frameworks, AI agents, and AI-driven access intelligence to create differentiated enterprise capabilities for identity and access use cases. 
• Explore emerging technologies and patterns in identity and access management that help us deliver greater customer value while improving solution resilience, scalability, and performance. 
• Participate in all technical aspects of team deliverables, including architecture, design, quality, performance, maintainability, and code reviews. 
• Integrate automated testing into development workflows to ensure consistent quality across releases.  
• Design and build intuitive, performant user interfaces that help customers investigate access risk, understand recommendations, and take remediation actions with confidence. 
• Adopt and improve engineering practices, raising quality standards, and fostering continuous improvement in testing, reliability, and production readiness. 
• Own end-to-end feature delivery, steering capabilities from early product discovery and architecture through implementation, release, operational oversight, and ongoing stability. 

This is an opportunity to work at the intersection of identity security, AI, and full stack product engineering, with room to influence technical direction, shape customer-facing experiences, and help define how enterprises understand and remediate access risk. 

Qualifications

• Applied AI experience: Practical experience integrating AI, ML, or LLM capabilities into production workflows, such as decision support, risk analysis, automation, or security-focused access intelligence. 
• Experience: 8+ years in full stack software development, with technical hands-on experience building complex Enterprise production software including frontend and backend portions 
• Languages and architecture: Strong proficiency in Go, JavaScript, and TypeScript, along with other key programming languages such as Python or Java, with the ability to make sound architectural decisions across frontend and backend systems. 
• Apply modern frontend engineering practices, including component design, state management, accessibility, observability, and frontend performance optimization. 
• Data and APIs: Expertise designing and implementing RESTful, GraphQL, and gRPC APIs, with proficiency in data modeling, SQL, relational databases such as PostgreSQL, and graph technologies. 
• Systems Engineering: Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization. 
• Leadership: Proven track record of delivering complete end-to-end solutions from conception to launch. 
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
• Soft Skills: Strong written and verbal communication skills. 

Preferred Qualifications: 

• Domain Expertise: Prior experience in Identity and Access Management (IAM), IGA, and PAM solutions. 
• Cloud & DevOps: Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). 
• Artificial Intelligence: Hands-on familiarity building with cutting-edge LLM frameworks and provider libraries like OpenAI, Anthropic, or Google. 
• Quality & Testing: Familiarity with automated testing frameworks and integrating tests into CI/CD pipelines. 
• Mindset: Strong sense of ownership and customer focus, with a passion for user experience and staying current with emerging technologies and industry trends

Additional Information

Work Personas

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Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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