Staff Software Engineer, Agent Identity Security

About the Team  

We are looking for a passionate Staff Software Engineer, Backend who will play a key role in designing, developing, and maintaining the next frontier of Agent Identity Security. The team is advancing Agent Identity Security as AI agents and copilots rapidly expand across enterprise systems. The team drives innovation, defines next-generation IGA for non-human identities and agents, and helps shape new industry standards as the AI agent ecosystem evolves. Its work includes discovering agents, tracking their actions, and defining access management and runtime authorization capabilities to maintain a strong security posture.  

Your core focus areas:  

In this role, you will tackle the unique access risks posed by AI agents, contributing to a high-impact startup at the cutting edge of Identity and Access Management. This is an exciting opportunity where your key responsibilities will include: 

• Architect and Build: Design, develop, and scale a comprehensive identity security solution for AI agents, ensuring it can manage a diverse landscape of agents deployed across different applications and systems. 
• Strategic Influence: Shape our long-term agent identity security roadmap and help define industry standards for securing agents, providing visibility into rogue agents, and ensuring least privilege access. 
• Cross-functional Collaboration: Work closely with product management, other engineering teams, and security experts to translate complex security challenges into robust, scalable, and production-grade features. 
• End-to-End Ownership: Take ownership of the entire feature lifecycle, from initial concept and design through to deployment, monitoring, and maintenance. 
• AI-Driven Engineering: Leverage AI techniques and tools to advance and strengthen Agent Security product. 

 

 

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 
• Experience: Proven 5+ yrs in backend software development, with a focus on APIs, Microservices Architecture or related areas 
• Strong proficiency in one or more programming languages, such as Golang, Java. 
• Experience designing and implementing RESTful APIs and Microservices Architectures. 
• Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform, and familiarity with IAM services and features. 
• Innate love for Distributed Systems (designing, developing, debugging, monitoring) 

  

 

Nice to Have: 

• Experience with Containerization and Orchestration technologies, such as Docker and Kubernetes, is a plus. 
• Knowledge of database technologies (SQL and NoSQL), caching mechanisms, and distributed systems. 
• Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment. 
• Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. 
• Strong sense of Product feature Ownership – from Ideation to Deployment 

 

Why join us: 

With over 30 billion access permissions under management, global enterprises in Fortune 500 trust Veza to manage privileged access monitoring, non-human identity security, access entitlement management, and next-generation identity governance, we are building the system that uses AI to govern AI. 

For positions in this location, we offer a base pay of $166,500 - $291,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.