at J.P. Morgan
Bulge Bracket Investment BanksPosted 9 days ago
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**Software Engineer III - Java React Full Stack Developer** - Design and deliver secure, stable, and scalable technology products as an experienced agile team member. - Execute software solutions, design, and development; troubleshoot complex problems beyond routine approaches. - Create high-quality, secure production code and maintain algorithms; leverage AI coding assist tools for productivity. - Develop architecture and design artifacts, and produce visualizations/reporting from large datasets for continuous improvement. - 3+ years of experience in system design, application development, testing, and operational stability. - Proficient in Java frameworks like Spring Boot, Hibernate, and front-end technologies such as HTML, CSS, JavaScript, and React JS. - Experience with RESTful APIs, web services, and relational databases (MySQL, PostgreSQL, Oracle). - Strong understanding of CI/CD, application resiliency, and security practices. - Preferred skills: familiarity with modern front-end technologies, cloud technologies, and CI/CD tools (e.g., Jenkins, Docker, Kubernetes). - Located in Hyderabad, Telangana, India.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
Location: Hyderabad, Telangana, India
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
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
- 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 full stack development with a strong focus in ava frameworks such as Spring Boot, Hibernate.
Experience with front-end technologies like HTML, CSS, JavaScript, and React JS.
Strong understanding of RESTful APIs and web services.
Experience with relational databases such as MySQL, PostgreSQL, or Oracle. Familiarity with version control systems like Git with practical cloud native experience - AWS
- 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
- Familiarity with modern front-end technologies
- Exposure to cloud technologies. Experience with CI/CD pipelines and tools like Jenkins, Docker, or Kubernetes is a plus
Excellent problem-solving skills and attention to detail
Strong communication and interpersonal skills
