Software Engineer III - Java
JPMorgan Chase & Co. · Hyderabad, Telangana, India
Financial Services · 10,001+ employees
About the role
The engineer will design, develop, and troubleshoot complex software solutions while leveraging AI-assisted tools to improve code quality and delivery speed. They are responsible for maintaining secure production code and creating architecture artifacts for scalable technology products.
What they look for
Requirements
Candidates must have 3+ years of applied experience in software engineering, including hands-on work with Java, Spring Boot, Kafka, and Kubernetes. A solid understanding of agile methodologies, system design, and secure coding practices is required.
Full description
Push the limits of what’s possible with us as an experienced member of our Software Engineering team.
As an Experienced Software Engineer at JPMorgan Chase within the Global Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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
- 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.
- 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.
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Hands-on practical experience in system design, application development, testing and operational stability
- Hands on experience on Distributed technology stack -Java, Spring boot, Kafka, NoSQL, Kubernetes and public cloud technologies
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
