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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Mitsubishi UFJ Financial Group - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $169,000.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Business Analytics Applications, Software Applications, IBM DB2, Relational Databases, Database Queries, Github, Hibernate (Java), Identity and Access Management, Java Message Service (JMS), Java Persistence API, Python (Programming Language), PostgreSQL, Apache Maven, Enterprise Messaging Systems, MySQL, OAuth, Oracle (Applications), Scrum Methodology, Productivity Software, Power BI, Openid Connect, Cloud Services, Search Technologies, Amazon Simple Notification Service (SNS), Software Engineering, Tableau (Software), TypeScript, Datadog, Enterprise Software Applications, Okta, Spring Cloud, GitHub Copilot, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, Git, Event Driven Architecture, AI Platforms, Kubernetes, Information Technology, Deployment Automation, Apache Kafka, Graphql, Virtual Agents, Cloudwatch, Api Gateway, Restful APIs, Amazon Simple Queue Service (SQS), Splunk, Docker, Jenkins, Microservices - **Published:** September 24, 2026 - **Apply:** https://www.thejobnetwork.com/job/software-engineer-vp-509977071 ## About the Role * 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. Preferred Skills * Experience with Amazon Bedrock, AWS AI services, or similar Generative AI platforms. * Experience developing enterprise AI assistants, copilots, or conversational AI applications. * Experience implementing Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, or AI agent orchestration. * Experience with Keycloak, OAuth2, OpenID Connect, or enterprise identity platforms. * Experience integrating Tableau, Power BI, or analytics platforms with AI solutions. * Exposure to Vector Databases, Retrieval-Augmented Generation (RAG), embeddings, and semantic search. * Experience with Kafka, JMS, SNS/SQS, or other messaging platforms. Education: *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. We do not anticipate providing visa sponsorship/support for this position. ## Description * Design and develop scalable backend services using Java (11/17), Spring Boot, and Spring Cloud. * Develop AI-powered applications and autonomous agents using Python and modern AI frameworks. * Design and implement Agentic AI solutions capable of planning, reasoning, orchestration, and tool invocation. * Build and integrate AI agents with enterprise systems using REST APIs, GraphQL, MCP (Model Context Protocol), and event-driven architectures. * Integrate Large Language Models (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 developer productivity tools. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Agentic AI Systems for Critical Workloads](https://www.wearedevelopers.com/videos/1592-agentic-ai-systems-for-critical-workloads) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)