Software Engineer III - Java Full Stack… at JPMorganChase · Bengaluru

Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - Java Full Stack Developer + AWS + AI at JPMorgan Chase within the Commercial & Investment Bank, you'll 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

• Applies practical experience of Agile software methodologies
• Proficiency in one or more programming languages like java or python
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Proficiency in using AI for tech tools(copilot, LLM, calude code etc) for SDLC
• Experience in frontend technologies like HTML, CSS, JavaScript, and frameworks like React.js, Angular
• Experience building cloud native or cloud ready applications using AWS
• Exposure to Container technologies like Kubernetes
• Executes standard software solutions, design, development, testing, and deployment
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies technical skills to break down solutions and solve technical problems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands on Experience in Java, Front End, AWS, AI tools and Platform or Product Development
• Exposure to tools related to CI/CD, Application Resiliency, and Security
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Exposure to microservice architecture
• Experience in using AI productivity tools like co-pilot, LLM ,Claude code
• Experience in prompt engineering, proficiency in developmental toolsets and Knowledge of industry-wide technology trends and best practices
• Emerging knowledge of software applications and technical processes within a technical discipline, specifically building out cloud native solutions (AWS).
• Hands-on experience in system design, application development, and testing
• Ability to work in large, collaborative teams to achieve organizational goals and Passionate about building an innovative culture

Preferred qualifications, capabilities, and skills

• Bachelor’s Degree in computer science engineering or equivalent
• Familiarity with modern front-end technologies
• Exposure to cloud technologies