Software Engineer II - Java, Springboot , AWS

JPMorgan Chase & Co.; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru is seeking a Software Engineer II to join the Enterprise Technology team. You will contribute to designing, developing, and delivering secure, scalable software components within an agile environment.

The role emphasizes Java Spring Boot, AWS services, and AI-assisted development tools, with a focus on code quality, security, and resilience across the full SDLC. You will collaborate across teams to improve software and operational stability.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience with modern programming languages and databases.
• Experience in large corporate environments with end-to-end SDLC exposure.
• Experience using AI-assisted development tools with validation of outputs.
• Understanding of secure coding standards and resilient systems.

Responsibilities

• Executes standard software solution design, development and troubleshooting.
• Writes secure, high-quality code with minimal guidance.
• Uses AI coding assist tools to improve quality, speed, and productivity with peer review.
• Designs and troubleshoots across upstream/downstream systems.
• Gathers and analyzes large data sets to inform decisions for secure, stable development.

Skills

Java Springboot

AWS Services

CI/CD

Secure coding practices

Data analysis

AI-assisted tooling

Education

Software engineering concepts training/certification

Tools

Enterprise-authorized AI-assisted development tools

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 Enterprise Technology 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

• 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 guidance
• 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.
• 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
• Expert knowledge of Java Springboot and AWS Services
• 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, 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

• UI Development experience using Javascript & React JS