Staff Software Engineer, Data Engineering

Ping Identity

. Design, develop, and maintain AI agent governance capabilities across AI platforms such as Amazon Bedrock, Google Vertex AI, Microsoft Copilot, and Azure AI Foundry .

Posted 9/30/2026full-timeRemote • United StatesLead💰 $132,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI governance capabilities across multiple platforms, with a strong focus on data engineering, scalable data solutions, and identity governance. Proficient in leveraging cloud technologies and implementing secure AI solutions while ensuring high performance and reliability.

Highest-signal resume keywords

AI Governance DevelopmentData EngineeringApache SparkIdentity Governance (IGA)AWS, Azure, or Google Cloud

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData PreparationData ProcessingETL PipelinesBigQuerySQLNoSQL DatabasesElasticsearchAnalytical Query OptimizationDistributed Data Systems

Soft Skills

Analytical SkillsProblem-SolvingCommunication Skills

Tools & Technologies

DockerKubernetesCI/CD PipelinesDevOps PracticesLangGraphLlamaIndex

Industry Keywords

AI PlatformsOperational HealthSecurity PrinciplesMCP ServersAgent-to-Agent Communication

Tech Stack

Tools & technologies

ApacheAWSAzureBigQueryCloudDistributed SystemsDockerElasticSearchETLKubernetesNoSQLSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain AI agent governance capabilities across AI platforms such as Amazon Bedrock, Google Vertex AI, Microsoft Copilot, and Azure AI Foundry
Rapidly prototype and iterate on AI agent capabilities while evaluating new frameworks, features, and industry best practices
Leverage AI coding assistants and agentic development tools while maintaining clear requirements, modular design, observability, maintainability, and code quality
Evolve Identity Governance capabilities including certifications, lifecycle management, workflows, and Separation of Duties
Enhance existing functionality, improve performance and scalability, and deliver incremental enterprise identity governance features
Partner with Support and customer-facing teams to troubleshoot and resolve customer issues, improve product reliability, and deliver positive customer experiences
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
Implement logging, metrics, monitoring, and compliance for AI agents
Evaluate 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

Requirements

What you’ll need

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
Hands-on experience in data ingestion, data preparation, data processing, and scalable data pipelines
Experience with Apache Spark, Apache Beam, or Apache Flink
Strong understanding of data modeling and designing scalable data solutions
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
Exposure to Identity Governance (IGA) concepts
Experience building MCP servers and AI agents using frameworks such as LangGraph and LlamaIndex
Experience with AWS, Azure, or Google Cloud
Experience with 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

Comp & perks

Flexible, collaborative work environment
Employee Resource Groups
Regular company and team bonding events
Competitive benefits and perks
Global volunteering and community initiatives
Generous PTO & Holiday Schedule
Parental Leave
Progressive Healthcare Options
Retirement Programs
Opportunity for Education Reimbursement
Commuter Offset (Specific locations)