Software Engineer III - Java AWS

JPMorganChase; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

JPMorganChase in Bengaluru, India, invites applications for a Software Engineer III within the Asset and Wealth Management Technology team. You will be a seasoned member of an agile team designing and delivering trusted technology products in a secure, scalable way, supporting the firm's financial objectives.

You will develop secure production code, work with AWS-based microservices using Java, Spring Boot, and Kafka, and leverage AI-assisted tools to improve quality and speed while maintaining

Qualifications

• 3+ years of software engineering experience in distributed systems.
• Hands-on experience delivering complex distributed design, development, testing, and operational stability.
• Advanced in Java programming.
• Practical cloud native experience on AWS.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to solve complex problems.
• Creates secure and high-quality production code and maintains algorithms that run with supporting systems.
• Collaborates with AI-assisted tools to improve code quality and delivery speed while ensuring security and peer review."],
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Skills

Java

CI/CD

Agile methodologies

Secure coding

AI-assisted development tools

Education

Software engineering certification

Tools

AWS

Spring Boot

Kafka

Job description

Job Description

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

As Software Engineer III at JPMorganChase within 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 delivering complex distributed system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) - Java
• Practical cloud native experience - designing, building and deploying applications on Amazon Web Services (AWS)
• Advanced knowledge of Spring Boot and Kafka
• 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.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Experience in technology/business stakeholder interactions with in-depth knowledge of the financial services industry and their IT systems.

Preferred Qualifications, Capabilities, And Skills

• Basic/Intermediate knowledge of Python
• Experience with either Snowflake or DataBricks

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