Java Backend Developer with SQL and AWS (Software Engineer II)
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsMumbaiOn-siteDirect career pageEst. 18–30 LPA
Posted on 11 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
- Design, develop, code, and troubleshoot software components within the Asset & Wealth Management Transactions team ensuring secure, stable, and scalable systems.
- Write secure, high-quality Java code and utilize enterprise-authorized AI-assisted development tools to improve code quality, speed, and productivity.
- Analyze large data sets to identify problems and contribute to decision making supporting secure and stable application development.
Minimum Requirements
- 3+ years hands-on experience with Java, Microservices, SQL, Kafka, and AWS.
- Experience in system design, application development, testing, and operational stability in large corporate environments.
- Proficiency using enterprise-authorized AI-assisted software development tools with ability to critically evaluate AI outputs.
- Work Experience Required: 3+ years. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in full Software Development Life Cycle (SDLC) with practical knowledge of agile methodologies like CI/CD and application resiliency.
- Demonstrated ability to apply secure coding practices and understand responsible AI use including data sensitivity and security.
- Capable of troubleshooting complex issues by considering upstream and downstream systems and technical implications.