We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
Job responsibilities:
- Manage data integration and data analysis of disparate systems
- Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client
- Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work setting to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.:
- 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.:
- Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
- Interface with other internal product development teams as well as cross functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams)
- Working with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands on experience in data integration projects using Big Data Technologies
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test
📌 Lead Software Engineer (Mumbai)
🏢 JPMorganChase
📍 Mumbai
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