JPMorganChase
Software Engineer III JAVA Backend, Spring Boot, Kafka, Kubernetes
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Develops and supports secure, scalable Java backend applications using Spring, Kafka, Kubernetes, REST, Hibernate, and Oracle. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, AI-assisted development, data analysis, and 24x7 Level 3 application support. The role requires strong object-oriented design, SQL, CI/CD, resiliency, security, agile development, and responsible use of AI engineering tools.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, 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
As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, 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 breakdown 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
- Provide Developer (Level 3) support for the applications on a 24x7 basis - of course on rotation basis.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
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
- 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.
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Strong experience in Core Java (17+), Spring Framework, JMS, Kubernetes, Claude Technologies, RESTful services, and mandatory hands-on expertise with Kafka, Hibernate, and JSON; strong experience with relational databases (especially Oracle) including complex SQL querying, plus UNIX experience.
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Strong object-oriented analysis/design/development skills with a sound understanding of design patterns; demonstrated use of AI tools (e.g., Copilot) to solve problems, and proficiency with Bitbucket, Maven, Jenkins (and other build tools), IntelliJ IDEA, Cucumber, and JUnit.
- 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, capabilities, and skills
- Financial Domain Knowledge
- Agile Methodologies (Scrum)
- Exposure to cloud based projects is added advantage
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