Ping Identity Logo

Ping Identity

Staff Software Engineer, Data Engineering

Posted 12 Days Ago
Be an Early Applicant
Hybrid
Austin, TX
132K-170K Annually
Senior level
Hybrid
Austin, TX
132K-170K Annually
Senior level
Design and build scalable data engineering and AI agent governance capabilities across major cloud AI platforms. Develop ingestion, processing, ETL, observability, security, lifecycle management, and identity governance features. Evaluate emerging AI agent frameworks and interoperability standards, troubleshoot customer issues, document architecture and processes, and collaborate with engineering, security, compliance, product, and support teams. The role also involves improving distributed data systems, mentoring engineers, and leading technical initiatives.
The summary above was generated by AI

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.

Similar Jobs

56 Minutes Ago
Hybrid
15-20 Hourly
Junior
15-20 Hourly
Junior
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides customer service and sales support in a luxury retail store. Responsibilities include operating POS systems, handling cash, supporting add-on sales, receiving and organizing shipments, replenishing inventory, maintaining stockroom and sales-floor standards, executing visual merchandising updates, and following loss-prevention policies. The role requires flexible scheduling, physical ability to handle merchandise, strong communication, retail experience, and comfort working in a fast-paced environment.
Top Skills: Cash Register SystemsInternetIpadLaptopMobile PosPosWalkie-Talkie
An Hour Ago
In-Office
Mid level
Mid level
Information Technology • Internet of Things • Mobile • On-Demand • Software
Lead state and local government affairs strategy and advocacy, build relationships with officials, manage franchise renewals and local permitting, draft and analyze legislation and contracts, oversee consultants and political contributions, and represent the company at community and government events.
Top Skills: Presentation SoftwareSpreadsheet SoftwareWord Processing Software
An Hour Ago
In-Office
29-52 Hourly
Entry level
29-52 Hourly
Entry level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provides infusion nursing care, including patient assessment, education, medication administration, chemotherapy and immunotherapy delivery, IV therapy, and monitoring of physiological and psychosocial needs. Collaborates with interdisciplinary healthcare teams, implements nursing interventions, communicates patient concerns, and promotes patient safety and comfort while following professional and organizational standards.
Top Skills: Electronic Medical Records (Emrs)

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account