Senior Software Engineer - Java, J2EE, Springboot, AWS

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III to design and deliver secure, scalable Java-based solutions within an agile team. You'll contribute to development across the SDLC and leverage AI-assisted coding tools to improve quality and speed, while maintaining secure coding standards.

The role requires hands-on experience with Java, Springboot, J2EE, and AWS, along with exposure to CI/CD and security practices in a large corporate environment.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on design, development, testing, and operational stability.
• Experience in Java, Springboot, J2EE & AWS.
• Experience with AI-assisted development tools and secure outputs.
• Familiarity with CI/CD, security practices and agile workflows.

Responsibilities

• Executes standard software solutions, design, development, and troubleshooting.
• Writes secure and high-quality code with limited guidance.
• Uses AI coding assist tools to improve quality, speed, and productivity with peer review.
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems.
• Applies SDLC tooling to improve automation and efficiency.
• Gathers and analyzes data to inform decisions for secure, stable applications.

Skills

Java

Springboot

J2EE

AWS

CI/CD

Agile methodologies

Secure coding practices

AI-assisted development tools

Tools

Enterprise-authorized AI coding assist tools

Job description

Software Engineer III - Java, J2EE, Springboot, AWS

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 Connected Commerce, 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 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 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 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

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience 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 Demonstrable ability to code Java, Springboot J2EE & AWS 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. Exposure to 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 Experience Level Senior Level