Senior Software Engineer - Java and AWS

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

JPMorganChase in Bengaluru (JP Morgan Services India) seeks a Software Engineer III to join the API Marketplace team. You will design and deliver scalable, secure software across multiple tech areas, working in an agile environment to support critical banking functions.

The role emphasizes production-grade code, enterprise tooling, and responsible use of AI-assisted development within the SDLC to ensure quality and security across solutions.

Qualifications

• Formal training or certification in software engineering concepts.
• Hands-on experience with Java and Python in production systems.
• Cloud native development on AWS with secure coding practices.

Responsibilities

• Execute software solutions, design, development and troubleshooting.
• Produce secure, high-quality production code and maintain algorithms.
• Apply AI-assisted tooling to improve code quality and delivery speed.
• Contribute to architecture/design artifacts for complex applications.

Skills

Java

Python

AWS

CI/CD

Security

AI-assisted development

Agile methodologies

Education

Software engineering training/certification

Tools

AI-assisted development tools

CI/CD tooling

Job description

Software Engineer III - Java 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 API Marketplace in Consumer and Community Banking, 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

F ormal 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 (Java, Python, Scripting Languages) Practical cloud native experience - AWS 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

API Gateways, Security Experience Level Senior Level