Software Engineer II - Java Fullstack

JPMorganChase

Hyderabad, INonsitePosted Jul 22, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

Skills

springreactcicdjavaaws

About the role

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 JPMorgan Chase within the Consumer and Community Banking, 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

Executes standard software solutions, design, development, and technical troubleshooting

Writes secure and high-quality code using the syntax of at least one programming language with limited guidance

Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications

Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation

Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity

Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development

Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems

Adds to team culture of diversity, opportunity, inclusion, and respect

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.

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

Experience in Java full stack, aws and cloud technologies – Java/ J2EE, Spring boot, React, Private / Public cloud experience.

Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

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

Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

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 outputs.

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies

Exposure to cloud technologies ( Private / Public cloud )

Hands on Experience in Java/ J2EE, Spring boot, React, experience

ABOUT US

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