Note: The job is a remote job and is open to candidates in USA. Ping Identity is building enterprise AI agent governance capabilities within its Data Platform team. The Staff Software Engineer will develop AI governance features and evolve identity governance capabilities, while ensuring operational readiness and collaborating with engineering, security, compliance, product, and customer-facing teams.
Responsibilities
- Design, develop, and maintain AI agent governance capabilities across AI platforms like Amazon Bedrock, Google Vertex AI, Microsoft Copilot, Azure AI Foundry etc
- 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
- Ensure Ops readiness and observability for the features shipped, by implementing logging, metrics, monitoring, and alerts
- Document architecture, governance processes, operational procedures, and engineering best practices for AI agents
Skills
- Bachelor's degree in Computer Science, Software Engineering, **ML Engineering**, or equivalent practical experience
- Hands-on coding experience in developing enterprise and cloud applications using Java and Python
- 6+ years of experience in **ML Engineering-**related software engineering roles, with hands-on experience in ML algorithms such as **FP-Growth**, techniques such as **Market Basket Analysis,** data ingestion, data preparation, data processing, and building scalable data pipelines using frameworks **such as Apache Spark, Apache Beam, or Apache Flink.**
- 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
- Familiarity with AWS and/or GCP cloud platforms
- Exposure to Identity Governance (IGA) concepts
- Experience building MCP servers and AI agents using popular frameworks such as LangGraph and LlamaIndex
- 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
- A company culture that empowers you to do your best work.
- Employee Resource Groups that create a sense of belonging for everyone.
- Regular company and team bonding events.
- Global volunteering and community initiatives
- Generous PTO & Holiday Schedule
- Parental Leave
- Progressive Healthcare Options
- Retirement Programs
- Opportunity for Education Reimbursement
- Commuter Offset (Specific locations)
- Remote work (USA)
Company Overview
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