Java Full Stack (Java, ReactJS, AWS, and exposure to AI tools) Software Engineer II

JPMorgan Chase & Co.; Bengaluru; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

JPMorganChase in Bengaluru is seeking a Software Engineer II to join the Corporate Technology Employee Platforms team. You will contribute to scalable, secure software components and work within an agile team delivering state-of-the-art technology products.

You will write production code in Java with SpringBoot and ReactJS, leverage enterprise AI coding assist tools, ensure code quality through reviews and testing, and participate in architecture discussions to improve systems.

Qualifications

• Formal training or certification on software engineering concepts and 2+ years applied experience.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate and validate AI-generated output.
• Proficient in coding in Java, SpringBoot, ReactJS languages
• Exposure to AWS cloud technologies
• Prompt engineering and Co-pilot knowledge
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectation
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, etc.)

Responsibilities

• Participates in, design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while 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
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• 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

Skills

Java

SpringBoot

ReactJS

AWS

Prompt engineering

Co-pilot knowledge

CI/CD

Secure coding practices

Data visualization

Education

Software engineering certification/training

Tools

AI-assisted development tools

CI/CD tooling

Job description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you

As a Software Engineer II at JPMorganChase within the Corporate Technology Employee Platforms team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job Responsibilities

• Participates in, design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces or contributes to architecture and design artifacts for applications while 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
• Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated output
• Proficient in coding in Java, SpringBoot, ReactJS languages
• Exposure to AWS cloud technologies
• Prompt engineering and Co-pilot knowledge
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectation
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, etc.)

Preferred qualifications, capabilities, and skills

• Exposure to AI technologies