Full-Stack Java React Software Engineer III

JPMorgan Chase & Co.•Wilmington, DE

18h

About The Position

As a Software Engineer III – Java at JPMorganChase within the Corporate Sector - Recovery and Resolution 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.

Requirements

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 one or more modern programming languages and database querying languages including: Java, Spring Boot, Microservices, REST APIs
Experience with React or Angular
Experience with AWS cloud technologies – ECS, EKS, RDS, S3, Lambda
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.
Experience designing scalable distributed systems and modern application architectures.
Experience troubleshooting complex production issues and driving technical solutions from concept through implementation.

Nice To Haves

Experience working in Databricks platform
Experience working with containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity with CI/CD pipelines and modern software deployment practices.

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.
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.
Designs, develops, and supports scalable Java-based applications and microservices supporting liquidity management platforms and treasury-related capabilities.
Collaborates with product, architecture, and engineering teams to deliver resilient cloud-enabled solutions and modern application architectures.
Drives technical solutions that enhance application performance, reliability, scalability, and operational efficiency.