Software Engineer III - Java Full Stack, AWS

JPMorgan Chase · ✓ Verified company
📍 Bengaluru, Karnataka, India · On-site · Full-time

About the role

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 Asset and Wealth Management Technology team, 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 software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems - Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems - 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. - Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development - Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems - Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture   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 - Proficient in coding in Java, Spring boot & React, JavaScript languages - Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages - Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). - Demonstrated experience using AI-based tools across the SDLC (such as GitHub Copilot, ChatGPT, or similar) for code development, testing, and automation is required  - 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. - Overall knowledge of the Software Development Life Cycle - Solid understanding of 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' - Hands on exposure to AWS and AI code assist tools is must