Sql data analyst • newark nj
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As the Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Ri... Show more
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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As the Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Ri... Show more
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The Associated Press is an independent global news organization dedicated to factual reporting.Founded in 1846, AP today remains the most trusted source of fast, accurate, unbiased news in all form... Show more
The average salary range is between $ 130,000 and $ 190,320 year , with the average salary hovering around $ 130,000 year .
The average salary range is between $ 77,499 and $ 126,740 year , with the average salary hovering around $ 97,399 year .
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
Job Summary:
As the Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk team, you will play a pivotal role in designing and implementing scalable hybrid cloud solutions. You will collaborate with development leads and senior stakeholders to deliver robust solutions, while mentoring team members and fostering a collaborative environment. This opportunity allows you to leverage your technical expertise in hybrid cloud architecture and coding to promote technical excellence and innovation.
Job Responsibilities:
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (., 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.
Collaborate with development leads and cross-functional teams to deliver robust solutions.
Required qualifications, capabilities and skills:
Demonstrated experience leading effective use of approved AI-assisted software development tools (., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities and skills:
