Senior Manager of Software Engineering - Big Data, Databricks

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Risk Technology Portfolio team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities:


* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Develops secure and high-quality production code, and reviews and debugs code written by others


* Drives adoption and governance of approved AI assisted engineering practices across teams to improve code quality, deliver speed, and operation outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patters and automation within the SDLC/TLM toolchain


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale


* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Design and develop large-scale solutions or platforms using Cloud services (i.e.

AWS) in alignment with the firm wide strategies and security controls


* Deploy and enable cloud based solutions at firm level, supporting complex analytics and day to day business operations


* Migrate legacy an big data applications at Cloud native applications with zero downtime


* Drives decisions that influence the product design, application functionality, and technical operations and processes


* Develop solutions or tools to monitor, provision components for automation or the processes, services, and reports


* Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Required qualifications, capabilities, and skills:


* Formal training and certification on software engineering concepts and 5+ years applied experience.

In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Drives adoption and governance of approved AI assisted engineering practices across teams to improv...