Software Engineer III - Java/AWS

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III – Java at JPMorganChase within the Liquidity Management Technology 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. Job 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. Required Qualifications, Capabilities, and Skills - 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 - 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. Preferred Qualifications, Capabilities, and Skills - Familiarity with modern front-end technologies – React, Angular, or similar JavaScript framework. - Exposure to AWS cloud technologies – EC2, EKS, RDS, S3, Lambda. - Experience working with containerization and orchestration technologies such as Docker and Kubernetes. - Familiarity with CI/CD pipelines and modern software deployment practices.