Asks for

The ad says“Experience designing, optimizing, and troubleshooting analytical queries.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“Extensive experience with BigQuery, SQL, NoSQL databases, and Elasticsearch.”
The ad says“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.”
The ad says“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.”
The ad says“Strong understanding of data modeling and designing scalable data solutions for enterprise applications.”
The ad says“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.”
The ad says“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.”
The ad says“Good understanding of distributed data systems and data integration patterns.”
The ad says“Extensive experience with BigQuery, SQL, NoSQL databases, and Elasticsearch.”
The ad says“Hands-on experience building and maintaining ETL pipelines and large-scale data processing solutions.”
The ad says“Extensive experience with BigQuery, SQL, NoSQL databases, and Elasticsearch.”
The ad says“Extensive experience with BigQuery, SQL, NoSQL databases, and Elasticsearch.”

About Ping Identity:

At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.

Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.

While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.

We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.

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. The team is evolving governance frameworks, platforms, and operational processes to manage AI agents across the enterprise, addressing key areas such as security, compliance, identity, risk management, and responsible AI.

As a Staff Engineer 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.

You Will:

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.

You Have:

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.

Bonus Points If You Have:

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.

Compensation Range: $132,000–$170,000
In accordance with Colorado’s Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities.

Life at Ping:

We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that’s who we want to succeed with every day.

Here are just a few of the things that make Ping special:

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.
Competitive benefits and perks.
Global volunteering and community initiatives

Our Benefits:

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

Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self.

We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

Asks for

Values

You Will:

You Have:

Bonus Points If You Have: