Software Engineer III - Java AWS

Role Overview

As a Software Engineer III at JPMorganChase in Bengaluru, Karnataka, India, you will be an integral part of the API Marketplace team within Consumer and Community Banking. This role offers an exciting opportunity to advance your software engineering career by designing and delivering secure, stable, and scalable technology products.

Key Responsibilities

• Execute software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches to build solutions and address technical problems.
• Create secure, high-quality production code and maintain algorithms that operate synchronously with relevant systems.
• Leverage enterprise-authorized AI coding assist tools to enhance code quality, delivery speed, and productivity across complex deliverables, validating outputs through peer review, automated testing, and secure coding standards.
• Apply knowledge of tools within the Software Development Life Cycle toolchain to maximize the value of automation.
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met through software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement in software applications and systems.
• Proactively identify hidden problems and patterns in data, using insights to enhance coding hygiene and system architecture.

Required Qualifications

• Formal training or certification in software engineering concepts and a minimum of 3 years of applied experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Proficiency in developing, debugging, and maintaining code in a large corporate environment using modern programming languages and database querying languages (Java, Python, Scripting Languages).
• Practical experience with cloud-native technologies, specifically AWS.
• Hands-on experience with enterprise-authorized AI-assisted software development tools, demonstrating the ability to evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies, including CI/CD, Application Resiliency, and Security.

Preferred Qualifications

• Experience with API Gateways and Security.