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hackajob is partnering directly with JPMorganChase to hire for this role.
JOB DESCRIPTION
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the CT AWM Finance, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Platform: The CT AWM Finance platform operates daily at enterprise scale?? ~42M accounts, ~87M positions, ~8M transactions and ~700k manual adjustments ??delivering reliable, audit-ready reporting for MIS Finance, Product Controllers, and Regional CFO teams.
Job responsibilities
- Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
- Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
- Contribute to software engineering communities xgikmsk of practice and events that explore new and emerging technologies
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
- Apply 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.
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