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MUFG

Principal Platform Engineer – AI, Data

MUFG

. Design and develop scalable backend services using Java, Spring Boot, and Spring Cloud .

Posted 11/10/2026full-timeUnited StatesLead💰 $169,000 - $205,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in designing and developing scalable backend services using Java, Spring Boot, and Python, with a strong focus on AI-powered applications and cloud-native solutions on AWS. Proficient in integrating AI agents and LLMs into enterprise systems while ensuring application reliability and performance.

Highest-signal resume keywords
Java DevelopmentAI Agent DevelopmentAWS Cloud ServicesMicroservices ArchitectureCI/CD Pipeline Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
JavaSpring BootPythonREST APIsGraphQLReactJSTypeScriptSQLKubernetesDocker
Soft Skills
CollaborationProblem-Solving
Tools & Technologies
AWS LambdaJenkinsGitHub ActionsSplunkDatadog
Certifications & Qualifications
Bachelor's Degree in Computer Science
Industry Keywords
AI OrchestrationEvent-Driven ArchitectureMicroservicesAgentic AI SolutionsLLM Integration

Tech Stack

Tools & technologies
AWSCloudDockerEC2GraphQLHibernateJavaJenkinsKubernetesMavenMicroservicesMySQLOraclePostgresPythonReactSplunkSpringSpring BootSpringBootSQLTypeScript

About the role

Key responsibilities & impact
  • Design and develop scalable backend services using Java, Spring Boot, and Spring Cloud
  • Develop AI-powered applications and autonomous agents using Python and modern AI frameworks
  • Design and implement Agentic AI solutions for planning, reasoning, orchestration, and tool invocation
  • Build and integrate AI agents with enterprise systems using REST APIs, GraphQL, MCP, and event-driven architectures
  • Integrate LLMs such as Amazon Nova, Anthropic Claude, or OpenAI models into enterprise applications
  • Develop and deploy cloud-native applications on AWS using Lambda, EKS, EC2, S3, SNS, SQS, IAM, and API Gateway
  • Build responsive web applications using ReactJS and TypeScript
  • Design high-performance relational database solutions using Oracle, PostgreSQL, MySQL, or DB2
  • Build CI/CD pipelines and automate deployments using Jenkins, GitHub Actions, or similar tools
  • Ensure application reliability through observability using Splunk, Datadog, or CloudWatch
  • Collaborate with architects, product owners, and cross-functional teams to deliver secure, scalable enterprise solutions
  • Leverage AI-assisted development tools such as GitHub Copilot, Amazon Kiro, or similar tools

Requirements

What you’ll need
  • 8+ years of software development experience
  • Strong expertise in Java (11/17), Spring Boot, Spring Cloud, Hibernate/JPA
  • Strong Python programming experience
  • Hands-on experience developing AI agents or agentic workflows
  • Experience with LLM integration and prompt engineering
  • Experience with AI orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or Amazon Bedrock Agents
  • Experience building REST APIs and GraphQL services
  • Strong knowledge of Microservices Architecture and Event-Driven Design
  • Experience with ReactJS and TypeScript
  • Experience with Kubernetes, Docker, and container orchestration
  • Strong experience with AWS cloud services
  • Strong SQL skills with Oracle, PostgreSQL, MySQL, or DB2
  • Experience implementing CI/CD pipelines using Jenkins or similar tools
  • Experience with Git, Maven, Agile, and Scrum
  • Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience
  • Visa sponsorship/support is based on business needs; sponsorship/support is not anticipated for this position

Benefits

Comp & perks
  • Discretionary performance-based bonus and/or incentive compensation
  • Comprehensive health and wellness benefits
  • Retirement plans
  • Educational assistance and training programs
  • Income replacement for qualified employees with disabilities
  • Paid maternity and parental bonding leave
  • Paid vacation, sick days, and holidays
  • Hybrid work schedule: four days on-site and one day remote per week