Develop and maintain secure, scalable Java backend applications within an agile team. Responsibilities include system design, coding, testing, troubleshooting, architecture documentation, data analysis, and 24/7 Level 3 application support on rotation. The role requires expertise in Java, Spring, Kafka, Kubernetes, REST, Hibernate, JSON, Oracle, SQL, UNIX, CI/CD tools, and AI-assisted development, along with strong software design, resiliency, security, and responsible AI practices.
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.
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.
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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