Software Engineer Iii - Java

JPMorganChase; Telangana; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

JPMorganChase in India seeks a Software Engineer III to design and deliver trusted market-leading technology products within the Consumer and Community Banking - Core Engineering Services. You will be part of an agile team delivering secure, scalable software solutions aligned with the firm’s objectives.

The role emphasizes secure coding, production-quality code, and the use of enterprise AI-assisted tools to enhance delivery, with a focus on reliability and architectural integrity across

Qualifications

• Experience with system design and application development in a large corporate environment.
• Proficiency in one or more modern programming languages and database querying.
• Experience using enterprise AI-assisted development tools and secure coding practices.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to handle complex problems.
• Creates secure, high-quality production code and manages algorithms with appropriate systems.
• Leverages AI coding assist tools to improve code quality, speed, and productivity with peer review and testing.

Skills

Software design

Code reviews

AI-assisted development

Security

Agile / CI-CD

Data analysis

Education

Software engineering certification

Tools

AI-assisted development tools

Job description

JOB DESCRIPTION

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 Consumer and Community Banking - Core Engineering Services, 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




• 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 ( NAMR/APAC – India/ LATAM/ Hong Kong)
  B. Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
  C. Singapore follow local country guidance




• 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.




• 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

• Familiarity with modern front-end technologies


• Exposure to cloud technologies

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