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Software Engineer III (Java/FullStack/React)

JPMC

On-siteOH, United StatesseniorPosted 2h ago

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III โ€“ Full Stack Java/AWS/React at JPMorganChase within the Community & Consumer Banking team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Key Responsibilities

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.

  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.

  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.

  • Collaborates across front-end, back-end, cloud, and platform teams to deliver seamless and scalable full stack solutions.

  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.

  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.

Required Qualifications

  • Formal training or certification on software engineering concepts and 3+ years applied experience.

  • Hands-on practical experience in system design, application development, testing, and operational stability.

  • Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages, including Java, Spring Boot, Microservices, REST APIs, React or Angular, and AWS cloud technologies.

  • Experience designing, developing, and supporting full stack applications across user interface, middleware, and backend services.

  • Experience building and supporting scalable cloud-native applications using AWS services and distributed architectures.

  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

  • Overall knowledge of the Software Development Life Cycle.

  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Preferred Qualifications

  • Familiarity with modern front-end technologies โ€“ React, Angular, or similar JavaScript framework.

  • Exposure to AWS cloud technologies โ€“ EC2, EKS, RDS, S3, Lambdas.

  • Experience working with event-driven architectures and messaging technologies such as Kafka.

  • Exposure to containerization and orchestration technologies including Docker and Kubernetes.