Description Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products to revolutionize business decisions and workflow for cloud migration. As a Senior Lead Software Engineer at JPMorganChase within the Infrastructure Platform, 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 decisions that influence the 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 Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Hands-on full stack development experience, with at least 3 years in a technical leadership or lead developer role. Expert proficiency in React, TypeScript, modern JavaScript (ES6), HTML5, and CSS3, with a track record of building accessible, high-performance, production-grade interfaces. Experience integrating APIs or services into front-end applications. Building enterprise grade system using Java, Python, AWS Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Demonstrated leadership working with engineers, product, stakeholders. Knowledge of best practices for building user experiences that incorporate generative and agentic AI. Practical experience applying generative AI and agentic workflows to accelerate development (e.g., AI-assisted code and test generation, refactoring, documentation), with strong judgment, governance, and quality control over AI-produced outputs. Experience optimizing performance and reliability of AI-powered user interfaces & proficiency in React framework Understanding of REST APIs and GraphQL Comfortable working with projects partially or fully using TypeScript & using latest React features such as Suspense and Hooks End to end testing applications