Software Engineer III-T24 Developer
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted on 7 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, troubleshoots, and delivers secure, stable, and scalable software solutions for Commercial & Investment Bank Payments Technology team.
- Leverages AI-assisted development tools to enhance code quality, productivity, and automation across complex software deliverables while ensuring secure coding standards.
- Produces architecture and design artifacts for complex applications and analyzes diverse data sets to drive continuous improvements in software and system performance.
Minimum Requirements
- 3+ years of applied software engineering experience with formal training or certification.
- Hands-on experience in T24 coding and knowledge of Temenos T24 banking modules including Interest, Tax, Swift Payments, Accounting, Reporting, Sweeps, and Close of Business processing.
- Experience working in Agile environments with backlog refinement, sprint planning, and estimation.
- Proficient in using enterprise-authorized AI-assisted software development tools with ability to critically evaluate and validate AI-generated outputs.
Ideal Candidate Profile
- Experienced in complex system design and application development within large corporate environments involving banking or financial services.
- Skilled in integrating AI-assisted development practices into software engineering workflows with understanding of responsible AI use and security considerations.
- Capable of producing architecture artifacts and utilizing large datasets to proactively identify system issues and improve coding hygiene and architecture.