Software Engineer III - Java Full Stack Developer + AWS + AI

United States Digital Space LLC

Karnataka

On-site

INR 1,500,000 - 2,300,000

Full time

14 days+

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Job summary

JPMorgan Chase in Karnataka is seeking a Software Engineer III — Java Full Stack Developer with AWS and AI focus. You will join an agile team to design and deliver scalable, secure technology products across multiple business functions, contributing to critical solutions in a fast-paced environment.

The role emphasizes hands-on software development in Java and front-end technologies, cloud-native applications on AWS, and the use of AI tools to improve quality and velocity while adhering to

Qualifications

  • Formal training or certification in software engineering with 3+ years of applied experience.
  • Hands-on experience in Java, front end, AWS, AI tools and platform/product development.
  • Exposure to CI/CD, resilience, and security tools.

Responsibilities

  • Applies Agile software development practices.
  • Proficient in Java and frontend technologies.
  • Leverages AI-assisted coding tools to improve code quality and delivery speed with peer review and automated testing.
  • Uses SDLC tools including AI-assisted development to enhance automation and value.
  • Experience with AWS cloud-native or cloud-ready applications and Kubernetes.
  • Designs, develops, tests, and deploys software with consideration of upstream/downstream systems.
  • Collaborates in large teams to achieve goals and fosters an innovative culture.

Skills

Java
Frontend - React
Frontend - Angular
HTML/CSS/JavaScript
AWS
AI tools
CI/CD
Security
Microservices
System design
Prompt engineering

Education

Bachelor’s degree in CS/engineering

Tools

Kubernetes
Copilot/LLM tooling
CI/CD tools

Job description

JOB DESCRIPTION

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
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