We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer AWS at JPMorgan Chase within the Consumer & Community Banking's Origination Workflows 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems • Develops secure and high-quality production code, and reviews and debugs code written by others • Develop web applications using service-oriented and microservices architecture with Java and Python frameworks. • Integrate solutions with AWS Cloud Services, including compute, storage, databases, and security components. • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., 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. • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Required qualifications, capabilities, and skills • Formal training or certification on software engineering concepts and 5+ years applied experience • Hands-on practical experience delivering system design, application development, testing, and operational stability • Advanced in one or more programming language(s) including Java or Python • Experience in building microservices using Java/Spring Boot and Python/FastAPI/Flask • Experience with AWS services - S3, DynamoDB, ECS, Lambda, Step functions, RDS, Lambda, and ALB/NLB • Experience with pair programming agents such as GitHub Copilot/Claude code to accelerate prototyping • Experience in building high-volume, low-latency, high-throughput transactional systems • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., 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 • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security • Experience with AWS and Terraform Preferred qualifications, capabilities, and skills • Strong problem-solving, analytical, and communication skills • A constant learner and early adopter of leading-edge technologies and methodologies, actively seeking opportunities to apply new knowledge. • In-depth knowledge of the financial services industry and their IT systems • Practical cloud native experience