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Carry out critical tech solutions across multiple technical areas as an integral part of an agile team
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Post Trade Technology team, youare 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. This group is going through a migration and modernization journey where you will be contributing to designing products, owning the design end-to-end, designing & building applications, and other technical leadership activities.
Job responsibilities
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.
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Required qualifications, capabilities, and skills
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
In-depth knowledge of the financial services industry and their IT systems
JPMorgan Chase Bank, N.A., doing business as Chase Bank or often as Chase, is an American national bank headquartered in New York City, that constitutes the consumer and commercial banking subsidiary of the U.S. multinational banking and financial services holding company, JPMorgan Chase
Job ID: 151221925
Skills:
Kafka, Spring Boot, Java, Oracle, Spring, Software Development Life Cycle, Elasticsearch, Agile Methodologies, Cloud native experience, AI-assisted software development tools, Relational Database Design
Skills:
Java, Sql, Python, AWS, Cloud data management, Data quality rules and controls using LLM, LLM assisted micro services, LLM assisted software solutions, Architecture and design artifacts, Automation CI CD, Telemetry error analysis, Athena, AI-assisted engineering practices
Skills:
Java, Oauth2, Kafka, Jwt, Spring Boot, Microservices, Continuous Delivery, REST, Mockito, JUnit, Docker, Agile Methodologies, automation, Kubernetes, AWS, Application Resiliency, MSK, Security, GRPC, Security, AI-assisted development