Lead Software Engineer AWS
JPMorgan Chase · Wilmington, United States · 11d ago
Staff / Lead / PrincipalOn-siteSoftware Engineering
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
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
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