PayPay Card Corporation

AI Platform Engineer

Japan (Hybrid)RemotePosted Today
Full TimeMidRemoteJP

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Job Description

PayPay Card is looking for an AI Platform Engineer focused on cloud-native GenAI infrastructure and enablement. This role will build and operate the foundation that enables internal teams to deliver a

Key Highlights

  • AWS: Bedrock, Bedrock Knowledge Bases, OpenSearch, Neptune, S3, ECS, EKS, Lambda, CloudWatch, Cognito, SQS, KMS, Secrets Manager, MSK, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation and other services
  • AI platform / GenAI capabilities: RAG, vector stores, graph databases, model access patterns, MCP-based integrations, agent orchestration, agent-to-agent workflows, evaluation and observability tooling
  • Terraform, GitHub Actions, Prometheus, Grafana, Dynatrace, Atlantis, ArgoCD, OpenTelemetry
  • Architect and build AI platform capabilities for applications, agents, RAG systems and related AI workloads
  • Architect and build infrastructure that is easy to maintain, update and improve

Qualifications

Required Qualifications

  • More than 5 years of technical experience in cloud-based infrastructure platforms
  • Ability to demonstrate high degree of ownership in a Production environment
  • Good understanding of cloud security best practices and payment industry compliance standards
  • Experience designing, building and operating cloud platform capabilities for internal developers
  • Experience with cloud infrastructure and platform systems availability, performance and cost management
  • Extensive technical hands-on experience with compute, storage and analytics services on cloud platforms
  • Experience with IaC tools such as Terraform, CloudFormation, CDK
  • Experience with cloud services monitoring, detection and response
  • Experience with cloud services performance tuning, cost controls and management
  • Experience in cloud infrastructure service patching and upgrades
  • Familiarity with AI platform concepts such as GenAI applications, agents, RAG systems, vector stores, model access patterns and evaluation/observability capabilities
  • PayPay DevOps emphasize automation. Demonstrated skill with the following are required:
  • Have excellent oral, written, verbal and interpersonal communication skills

Preferred Qualifications

  • Bachelor’s degree and above in a technology related field
  • Experience with other cloud service providers (e.g. GCP, Azure)
  • Experience with Kubernetes (CKA, CKAD or CKS)
  • Experience with AWS AI services such as Bedrock, Bedrock Knowledge Bases, Bedrock AgentCore, Bedrock Prompt Management or similar services
  • Experience with RAG systems, vector stores, graph databases, semantic search or knowledge management platforms
  • Experience with MCP, agent orchestration, agent-to-agent workflows or related AI integration patterns
  • Experience with agent frameworks or orchestration tools such as OpenAI Agents SDK, Google ADK, Strands Agents, LangGraph, CrewAI, LlamaIndex or similar
  • Experience with monitoring, evaluation or observability tooling for AI-powered systems
  • Experience with Event-Driven Architecture (Kafka preferred)
  • Experience using and contributing to Open Source tools
  • Experience in managing IT compliance and security risk
  • Demonstrated track record of self-driven learning and a passion for continuously catching up with the rapidly evolving AI ecosystem.
  • Experience conducting R&D or building proofs-of-concept (PoCs) for emerging AI technologies.
  • Active engagement with the AI community—evidenced by published papers, technical blogs, open-source contributions, or personal AI hobby projects.
  • Bilingual in English and Japanese is nice to have, but not required. Proficiency in either language is fine.

Skills & Technologies

AWSTerraformGitHub ActionsGCPAzureKubernetesKafka

About the Company

PayPay Card Corporation

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Job Details

Employment Type

Full Time

Experience Level

Mid

Location

Japan (Hybrid)

Work Mode

Remote

Posted

Today

Country

JP