Senior Staff Software Engineer
Full-time
Ping Identity
Responsibilities
- Design, develop, and maintain AI agent governance capabilities across Amazon Bedrock, Google Vertex AI, Microsoft Copilot, and Azure AI Foundry.
- Prototype and evaluate AI agent capabilities, frameworks, interoperability standards, and governance technologies.
- Develop and improve identity governance functionality including certifications, lifecycle management, workflows, and Separation of Duties.
- Build secure AI solutions using authentication, authorization, and least-privilege principles.
- Monitor AI agent performance, usage, operational health, and security across multiple platforms.
- Implement logging, metrics, monitoring, and compliance capabilities for AI agents.
- Partner with engineering, security, compliance, product, support, and customer-facing teams to resolve issues and improve reliability.
- Document architecture, governance processes, operational procedures, and engineering best practices.
- Mentor engineers and lead technical initiatives.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or Data Engineering, or equivalent practical experience.
- 8+ years of experience in data engineering-related software engineering roles.
- Hands-on experience with data ingestion, preparation, processing, ETL pipelines, scalable data pipelines, and large-scale data processing.
- Experience using Apache Spark, Apache Beam, or Apache Flink to build scalable data pipelines.
- Strong understanding of data modeling and scalable data solutions for enterprise applications.
- Extensive experience with BigQuery, SQL, NoSQL databases, and Elasticsearch.
- Experience designing, optimizing, and troubleshooting analytical queries.
- Familiarity with structured and unstructured data management, distributed data systems, and data integration patterns.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Preferred experience with Identity Governance, MCP servers, AI agents, LangGraph, LlamaIndex, AWS, Azure, Google Cloud, Docker, Kubernetes, enterprise-scale distributed systems, CI/CD pipelines, DevOps practices, mentoring, and technical leadership.
Benefits
- Flexible and collaborative work environment.
- Generous paid time off and holiday schedule.
- Parental leave.
- Progressive healthcare options.
- Retirement programs.
- Education reimbursement opportunity.
- Commuter offset for specific locations.
- Employee Resource Groups, team bonding events, and global volunteering and community initiatives.
Vacancy posted 1 day ago
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