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 at JPMorgan Chase within the Connected Commerce technology offers and shopping team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Responsible for design and development of enterprise software applications.
- Works with different stakeholders to review business requirements, architecture and design.
- Involves in coding, pair programming and code reviews.
- Writes unit tests and software automation.
- 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.
- Supports Integration, UAT, and Performance testing.
- Releases software on UAT and production; Participate in production support and application monitoring.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing web-based applications using J2EE technology.
- Experience using Spring framework for building enterprise java applications.
- Experience in developing Rest APIs.
- Experience in using Oracle, Cassandra databases.
- Experience using BlazeMeter, Splunk, Dynatrace
- Experience in manual testing using Postman/SoapUI.
- Experience using Swagger tool to create the API specifications.
- Experience in using Agile Scrum methodology for tracking the team work.
- 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
Preferred qualifications, capabilities, and skills
- Exposure to AWS cloud technologies
- Experience in using Kafka for data streaming.
- AWS or Cloud certifications
- Experience in Temporal Durable Execution technology
- Experience writing automation tests using Cucumber framework
- Cloud Foundry experience for developing and managing the web application.
- Understands best practices for CI/CD, Applicant Resiliency, and Security
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