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Ping Identity
Ping Identity
1.001 – 5.000 Angajați
Asistență medicalăConsultanțăLogistică
Ping Identity dezvoltă soluții de gestionare a identității și accesului pentru întreprinderi și organizații mari. Platformele sale cloud și locale, inclusiv PingOne și capabilitățile Helix bazate pe inteligență artificială, oferă autentificare, gestionarea accesului, orchestrare, prevenirea fraudelor și identitate descentralizată pentru clienți, angajați și terți. Compania deservește medii complexe din sectoare precum administrația publică, serviciile financiare, sănătatea, retailul și mass-media, concentrându-se pe reducerea fraudelor, îmbunătățirea experiențelor digitale și satisfacerea unor nevoi variate de implementare.
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Locurile de muncă ale companiei

Staff Software Engineer, Data Engineering (Remote - United States)

Build AI agent governance and scalable data pipelines for Ping Identity’s cloud identity platform. Advance secure, observable enterprise identity and AI capabilities across major cloud platforms.

USStatele Unite ale Americii
132.000 $ – 170.000 $ / an
RemoteNormă întreagăLiderLimbă Obligatorie: englezăInginer de date
ApacheAWSAzureBigQueryCloudDockerElasticsearchETLKubernetesNoSQLSisteme distribuiteSparkSQL

Descriere

  • Design and maintain AI agent governance capabilities across platforms including Amazon Bedrock, Google Vertex AI, Microsoft Copilot, and Azure AI Foundry
  • Prototype AI agent capabilities while assessing frameworks, features, and industry practices
  • Use AI coding assistants and agentic tools while upholding modular design, observability, maintainability, and code quality
  • Advance Identity Governance capabilities covering certifications, lifecycle management, workflows, and Separation of Duties
  • Improve functionality, performance, scalability, and enterprise identity governance features
  • Work with Support and customer-facing teams to resolve issues and strengthen product reliability
  • Track AI agent performance, usage, operational health, and security across platforms
  • Partner with platform, security, and product teams to deliver secure AI solutions based on authentication, authorization, and least privilege
  • Implement logging, metrics, monitoring, and compliance controls for AI agents
  • Assess emerging AI agent platforms, interoperability standards such as MCP and Agent-to-Agent communication, and governance technologies
  • Document AI agent architecture, governance processes, operating procedures, and engineering practices

Cerințe

  • Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical experience
  • At least 8 years of experience in software engineering roles related to data engineering
  • Practical experience with data ingestion, preparation, processing, and scalable pipeline development
  • Experience with Apache Spark, Apache Beam, or Apache Flink
  • Strong knowledge of data modeling and scalable data solution design
  • 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 systems
  • Familiarity with structured and unstructured data management
  • Understanding of distributed data systems and data integration patterns
  • Strong analytical, problem-solving, and communication abilities
  • Exposure to Identity Governance and Administration concepts
  • Experience building MCP servers and AI agents with frameworks such as LangGraph and LlamaIndex
  • Experience with AWS, Azure, or Google Cloud
  • Experience using Docker and Kubernetes
  • Experience with CI/CD pipelines and DevOps practices
  • Experience developing enterprise-scale distributed systems
  • Experience mentoring engineers and leading technical initiatives

Beneficii

  • Flexible and collaborative work environment
  • Employee Resource Groups
  • Regular company and team bonding events
  • Competitive benefits and perks
  • Global volunteering and community initiatives
  • Generous paid time off and holiday schedule
  • Parental leave
  • Progressive healthcare options
  • Retirement programs
  • Education reimbursement opportunities
  • Commuter offset for specific locations

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