Sr Lead Architect - AWS

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions.

As a Senior Lead Architect at JPMorgan Chase within the Technology Division, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains.

Job responsibilities

• Represents a product family of technical governance bodies
• Provides feedback and proposes improvements to architecture governance practices
• Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks
• 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 decisions that influence product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the SoftwareDevelopment Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on AWS concepts and 7+ years applied experience

Advanced in one or more programming language(s), applications, and architecture

Preferred qualifications, capabilities, and skills

Skills Required

Mobile, System Design, Aws, Cloud, Software Architecture, Application Development, Artificial Intelligence, Testing, Cloud Native, Machine Learning