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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1174 open roles
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As a Lead Software Engineer within the Corporate Sector-Chief Technology Office, you will join an agile team focused on building and delivering secure, stable, and scalable market-leading technology products. You will serve as a core technical contributor responsible for designing creative software solutions, developing high-quality production code, and troubleshooting complex problems across various business functions. Your role involves driving the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed while ensuring secure coding standards. You will manage the full Software Development Life Cycle using tools like Kubernetes, AWS services including EKS, Lambda, and RDS, and programming languages such as Java, Spring Boot, Python, or Go. Additionally, you will utilize Artifactory, GraphQL, and monitoring tools like Dynatrace to ensure operational stability and lead communities of practice regarding emerging technologies.
Develop secure, high-quality production code while reviewing and debugging code written by other team members.
Drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
Establish validation standards for AI outputs including security, performance, and peer review requirements.
Identify and automate the remediation of recurring issues to improve the operational stability of software systems.
Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.
Lead communities of practice to promote awareness and adoption of leading-edge technologies across the organization.
Implement automated testing and continuous delivery methods within the software development lifecycle.
What we're looking for
Formal training or certification on software engineering concepts and 5+ years of applied experience.
Proficiency with AWS services including EKS, ECS, Lambda, MongoDB, PostgreSQL, DynamoDB, API Gateway, and RDS.
Hands-on experience with Kubernetes (K8s).
Advanced proficiency in one or more programming languages such as Python, Go, or Java/Spring Boot.
Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies including CI/CD, application resiliency, and security.
Demonstrated experience leading the use of approved AI-assisted software development tools and coaching engineers on responsible AI practices.
Experience with Artifactory, package management (Maven, Gradle, NPM, Pypi, NuGet, Docker), GraphQL, or monitoring tools like Dynatrace and Splunk (preferred).