[Hiring] Staff Software Engineer, Data Engineering @Ping Identity

Role Description

The Ping Identity Data Platform team is building the next generation of enterprise AI governance capabilities to enable secure, scalable, and responsible adoption of AI agents. As a Staff Engineer on our Data Platform team, you will help define and implement capabilities for agent discovery, lifecycle governance, policy enforcement, observability, and secure integration of AI agents, tools, MCP servers, and enterprise resources. You will work on taking governance concepts from design to reality in a fast-paced, collaborative, cross-functional environment, partnering with engineering, security, compliance, and product teams to shape the future of AI adoption.

• Design, develop, and maintain AI agent governance capabilities across AI platforms like Amazon Bedrock, Google Vertex AI, Microsoft Copilot, Azure AI Foundry, etc.
• Rapidly prototype and iterate on AI agent capabilities, continuously evaluating and adopting new frameworks, features, and industry best practices as the AI ecosystem evolves.
• Leverage AI coding assistants and agentic development tools to accelerate delivery while maintaining a strong focus on clear requirements, modular design, observability, maintainability, and code quality.
• Drive the evolution of core Identity Governance capabilities—including certifications, lifecycle management, workflows, and Separation of Duties (SoD)—by enhancing existing functionality, improving performance and scalability, and delivering incremental features that strengthen enterprise identity governance.
• Partner closely with Support and customer-facing teams to troubleshoot and resolve customer issues, drive timely solutions, improve product reliability, and deliver a positive customer experience that builds trust and customer delight.
• Monitor AI agent performance, usage, operational health, and security across multiple platforms.
• Collaborate with platform, security, and product teams to implement secure AI solutions using authentication, authorization, and least-privilege principles.
• Contribute to observability by implementing logging, metrics, monitoring, and compliance for AI agents.
• Evaluate and adopt emerging AI agent platforms, interoperability standards (such as MCP and Agent-to-Agent communication), and governance technologies.
• Document architecture, governance processes, operational procedures, and engineering best practices for AI agents.

Qualifications

• 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, with hands-on experience in data ingestion, data preparation, data processing, and building scalable data pipelines using frameworks such as Apache Spark, Apache Beam, or Apache Flink.
• Strong understanding of data modeling and designing scalable data solutions for enterprise applications.
• Extensive experience with BigQuery, SQL, NoSQL databases, and Elasticsearch.
• Experience designing, optimizing, and troubleshooting analytical queries.
• Hands-on experience building and maintaining ETL pipelines and large-scale data processing solutions.
• Familiarity with structured and unstructured data management concepts.
• Good understanding of distributed data systems and data integration patterns.
• Strong analytical, problem-solving, and communication skills.

Requirements

• Exposure to Identity Governance (IGA) concepts.
• Experience building MCP servers and AI agents using popular frameworks such as LangGraph and LlamaIndex.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with CI/CD pipelines and DevOps practices.
• Experience building enterprise-scale distributed systems.
• Experience mentoring engineers and leading technical initiatives.

Benefits

• Generous PTO & Holiday Schedule
• Parental Leave
• Progressive Healthcare Options
• Retirement Programs
• Opportunity for Education Reimbursement
• Commuter Offset (Specific locations)