Software Engineer III - Java, React UI, AI
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 22–35 LPA
Posted on 25 Sept
Reach people at JPMorgan Chase & Co.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at JPMorgan Chase & Co. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Designs, develops, debugs, and delivers secure, high-quality software solutions across multiple technical areas supporting firm business functions.
- Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, including validating AI-generated outputs through peer review and automated testing.
- Produces architectural and design artifacts for complex applications and uses data insights to drive improvements in coding hygiene and system architecture.
Minimum Requirements
- 5+ years applied experience and formal training or certification in software engineering concepts.
- Hands-on experience in system design, application development, testing, and operational stability in a large corporate environment using modern programming and database querying languages.
- Experience using enterprise-authorized AI-assisted software development tools with ability to evaluate and validate AI-generated outputs.
- Solid understanding of agile methodologies including CI/CD, application resiliency, security, and overall Software Development Life Cycle knowledge.
Ideal Candidate Profile
- Experienced engineer comfortable working with AI-assisted coding tools in production environments, critically evaluating AI outputs for security and performance.
- Capable of delivering across full SDLC from design through operational stability in a corporate setting using agile practices.
- Able to integrate data analysis insights to continuously improve software applications and system architectures.