Software Engineer III - Java Fullstack AWS
JPMorgan Chase & Co. (company site, opens in a new tab)5+ yrsMumbaiOn-siteDirect career pageEst. 25–45 LPA
Posted 10h ago
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
- Design, develop, and troubleshoot secure, high-quality production code for scalable enterprise applications using Java, React.js, and AWS cloud services.
- Leverage enterprise-authorized AI-assisted development tools to enhance code quality, delivery speed, and productivity, while validating outputs for correctness and security.
- Produce architecture and design artifacts ensuring design constraints are met, and use data insights to drive continuous improvements in software applications and system architecture.
Minimum Requirements
- 5+ years software engineering experience with formal training or certification in software engineering concepts.
- Strong hands-on experience with Java, Spring Boot, RESTful APIs, React.js, JavaScript/TypeScript, HTML5, CSS.
- Proven expertise in AWS cloud services including deployment, monitoring, security, and cloud-native architecture design plus experience with AWS Glue and PostgreSQL.
- Experience using enterprise-authorized AI-assisted software development tools critically and knowledge of agile methodologies (CI/CD, Application Resiliency, Security).
Ideal Candidate Profile
- Experienced software engineer skilled in full-stack Java and front-end technologies delivering scalable, secure enterprise applications in cloud-native AWS environments.
- Demonstrated ability to integrate AI-assisted development tools safely and effectively within engineering workflows, guiding peers on responsible AI use.
- Practitioner of agile methodologies with strong system design and operational stability focus, capable of producing and maintaining architecture and design artifacts for complex applications.