资深软件工程师,数据工程
Staff Software Engineer, Data Engineering
Ping Identity 介绍:
在 Ping Identity,我们相信为所有用户提供安全且无缝的数字体验,而无需妥协。我们称之为数字自由。这不仅是为我们的客户提供的一种服务,更是激励我们公司的力量。人们来到这里不是为了加入一个建立在数字自由之上的文化,而是为了培育它。
我们的智能云身份平台让人们可以随时随地购物、工作、银行交易和互动,毫无障碍,毫无恐惧。
虽然保护数字身份是我们的技术核心,但保护个人身份是我们的文化核心。我们支持每一个身份。我们的核心价值观之一“尊重个性”,提醒我们要庆祝差异,让你能够以真实的自我投入工作。
我们总部位于科罗拉多州丹佛市,并在全球设有办公室和员工。我们为全球最大的、最苛刻的企业提供服务,包括超过一半的财富100强企业。在 Ping Identity,我们正在改变人们和企业对网络安全、数字体验以及身份和访问管理的看法。
Ping Identity 数据平台团队正在构建下一代企业 AI 治理能力,以实现 AI 代理的安全、可扩展和负责任的采用。该团队正在演进治理框架、平台和操作流程,以在整个企业中管理 AI 代理,解决安全、合规、身份、风险管理以及负责任 AI 等关键领域。
作为数据平台团队的资深工程师,你将帮助定义并实现代理发现、生命周期治理、策略执行、可观测性以及 AI 代理、工具、MCP 服务器和企业资源的安全集成能力。你将在快节奏、协作、跨职能的环境中,将治理概念从设计变为现实,与工程、安全、合规和产品团队合作,塑造 AI 采用的未来。
你将负责:
- 在 Amazon Bedrock、Google Vertex AI、Microsoft Copilot、Azure AI Foundry 等 AI 平台上设计、开发和维护 AI 代理治理能力。
- 快速原型设计并迭代 AI 代理能力,随着 AI 生态系统的演变,持续评估并采用新的框架、功能和行业最佳实践。
- 利用 AI 编码助手和代理开发工具来加速交付
查看英文原文
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.