
at J.P. Morgan
Bulge Bracket Investment BanksPosted 4 days ago
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**Software Engineer II - Java** As a **Software Engineer II** at JPMorganChase, you will contribute to enhancing, designing, and delivering high-quality, secure software components within the Consumer and Community Banking - Connected Commerce Team. You'll executes standard software solutions, troubleshoots technical issues, and applies knowledge of enterprise-authorized AI coding assist tools. Leverage your experience in system design, application development, and SDLC to improve code quality and delivery speed. Proficient in Java and proficient in at least one modern programming language. Requires 2+ years of applied software engineering experience. Preferred: familiarity with public cloud technologies, event-driven messaging, and hands-on experience with Jira, Confluence, IntelliJ IDEA, Maven, Git, and AI-powered code assistants.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
Youre 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 Consumer and Community Banking - Connected Commerce Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firms 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 solution, design, development, and technical troubleshooting
Writes secure and high-quality code using the syntax of at least one programming language with limited guidanceLeverages 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.
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, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Applies technical troubleshooting to breakdown 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
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 2+ 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 stabilityExperience 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, 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.
Experience across the whole Software Development Life Cycle
Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Familiarity with Public Cloud technologies and platforms (e.g. AWS)
- Experience with event-driven messaging and streaming technologies (e.g., Kafka), both NoSQL and relational databases, and cloud-native API/microservice development.
- Hands on Experience in Software Development tools and technologies (e.g. Jira, Confluence, IntelliJ IDEA, Maven, Git, Jenkins, Sonar, Artifactory, AI powered code-assistants, etc.)




