Staff Software Engineer, Data Engineering – Identity & AI Agent Governance
Ping Identity Corporation is an active enterprise identity-security company offering the Ping Identity Platform for customer, B2B, workforce, and AI-agent identity use cases.
Maintainer signals as of 8/29/2026
Funding history
Investors
Projects
About Ping Identity Corporation
Ping Identity develops and operates identity and access management and identity-security products, including identity verification, identity management, authentication, authorization, threat protection, fraud prevention, and orchestration. Its offerings support multi-tenant SaaS, dedicated-tenant SaaS, self-managed software, and FedRAMP High deployments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Design, develop, and maintain AI agent governance capabilities; build scalable data pipelines and data processing solutions; improve identity governance functionality; monitor AI agent performance and security; implement authentication, authorization, logging, metrics, and compliance; evaluate emerging AI platforms; and document architecture and operational procedures.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical experience
- 8+ years of experience in data engineering related software engineering roles
- Hands-on experience in data ingestion, data preparation, data processing, and scalable data pipelines
- Strong understanding of data modeling and scalable data solutions
- Experience with BigQuery, SQL, NoSQL databases, and Elasticsearch
- Experience designing, optimizing, and troubleshooting analytical queries
- Experience building and maintaining ETL pipelines and large-scale data processing solutions
- Familiarity with structured and unstructured data management
- Understanding of distributed data systems and data integration patterns
Responsibilities
- Design, develop, and maintain AI agent governance capabilities across AI platforms
- Prototype and iterate on AI agent capabilities
- Drive the evolution of identity governance capabilities
- Troubleshoot and resolve customer issues
- Monitor AI agent performance, usage, operational health, and security
- Implement authentication, authorization, and least-privilege controls
- Implement logging, metrics, monitoring, and compliance for AI agents
- Evaluate emerging AI agent platforms, interoperability standards, and governance technologies
- Document architecture, governance processes, operational procedures, and engineering best practices
Benefits
- Generous PTO and holiday schedule
- Parental leave
- Progressive healthcare options
- Retirement programs
- Education reimbursement
- Commuter offset for specific locations