Staff Software Engineer, Data Engineering

Overview

Staff Software Engineer on the Ping Identity Data Platform team, building enterprise AI agent governance capabilities for secure, scalable, and responsible adoption of AI agents.

What you'll do

• Design, develop, and maintain AI agent governance capabilities across AI platforms such as Amazon Bedrock, Google Vertex AI, Microsoft Copilot, and Azure AI Foundry.
• Rapidly prototype and iterate on AI agent capabilities, continuously evaluating and adopting new frameworks, features, and industry best practices.
• 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.
• Partner closely with Support and customer-facing teams to troubleshoot and resolve customer issues, drive timely solutions, and improve product reliability.
• 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.

What you'll need

• 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 with 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.

Nice to have

• Exposure to Identity Governance (IGA) concepts.
• Experience building MCP servers and AI agents using 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.

Details

• Compensation range: $132,000–$170,000 (Colorado pay transparency range; final compensation depends on knowledge, skills, and abilities).
• Location: USA, Remote.