Software Engineer [Multiple Positions Available]

JPMorganChase•Wilmington, NC

8d•Onsite

About The Position

DESCRIPTION: Duties: Drive the transformation towards Data Products while also modernizing systems that support enterprise-wide analytics, AI/ML, and business intelligence. Shape, implement, and advance the core development and architectural elements of an internal technology ecosystem. Work on various aspects of the Comprehensive Capital Analysis and Review (CCAR) process, including developing and delivering CCAR regulatory filing commitments, defining data strategies for lines of business and Area Products, and collaborating to create multi-generational roadmaps. Define and develop technology journeys and systems to address the metadata capture and management needs of modern data architectures at scale. Drive efforts in data domain-driven design (DDD), data engineering, and data resiliency design standards across microservices and analytics applications, ensuring autonomy, agility, and scalability. Collaborate with Lead Architects, Chief Information Architects, and CTOs to develop data strategies, solutions, and technical guidance, leveraging industry standards and domain specific best practices. Provide guidance to agile teams, particularly in CCAR, applying these patterns to key software products and guiding software engineering teams in implementing customer-driven autonomous application architectures. This position requires up to 10% domestic travel to JPMC offices for internal meetings/trainings.

Requirements

Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Information Technology, Data Engineering, or related field of study plus 5 years (60 months) of experience in the job offered or as Software Engineer, IT Architect, Lead IT Consultant, or related occupation.
The employer will alternatively accept a Bachelor's degree in Computer Science, Computer Engineering, Computer Information Systems, Information Technology, Data Engineering, or related field of study plus 7 years (84 months) of experience in the job offered or as Software Engineer, IT Architect, Lead IT Consultant, or related occupation.
Experience with programming with languages such as COBOL or Java to develop robust applications and lead software engineering teams, ensuring adherence to best design and coding practices
Experience with software development methodologies such as Waterfall, Agile, or Scrum to execute technology projects
Experience with relational databases to design and implement database solutions for data storage
Experience utilizing microservices architecture and API-based modular implementation for achieving scalable system designs
Experience using upstream and downstream systems for managing project dependencies and ensuring integration
Experience migrating legacy systems to modern architectures to facilitate smooth transitions and modernization efforts
Experience utilizing all phases of the Software Development Life Cycle (SDLC) for the execution and go-live of applications

Responsibilities

Drive the transformation towards Data Products while also modernizing systems that support enterprise-wide analytics, AI/ML, and business intelligence.
Shape, implement, and advance the core development and architectural elements of an internal technology ecosystem.
Work on various aspects of the Comprehensive Capital Analysis and Review (CCAR) process, including developing and delivering CCAR regulatory filing commitments, defining data strategies for lines of business and Area Products, and collaborating to create multi-generational roadmaps.
Define and develop technology journeys and systems to address the metadata capture and management needs of modern data architectures at scale.
Drive efforts in data domain-driven design (DDD), data engineering, and data resiliency design standards across microservices and analytics applications, ensuring autonomy, agility, and scalability.
Collaborate with Lead Architects, Chief Information Architects, and CTOs to develop data strategies, solutions, and technical guidance, leveraging industry standards and domain specific best practices.
Provide guidance to agile teams, particularly in CCAR, applying these patterns to key software products and guiding software engineering teams in implementing customer-driven autonomous application architectures.

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