Lead Software Engineer - Shared Services
JPMorgan Chase & Co.
As a Lead Software Engineer - Common Services at JPMorgan Chase within the Risk Technology team, you will be a key player in an agile team, tasked with designing and delivering secure, stable, and scalable market-leading technology products. Your role involves implementing critical technology solutions across various technical areas within different business functions to support the firm's business objectives. Our primary front-end technologies include Typescript, and React, which interface with a Spring Boot back-end and are deployed to Kubernetes-based platforms on both private and public clouds. A significant part of your role will be to ensure that our deployments, conducted via a build server, are efficient and well-controlled. We primarily use Typescript, and React as our main front-end technologies, interfacing with a Spring Boot back-end and deploying to Kubernetes-based platforms on both private and public cloud. We have a heavy focus on ensuring that our deployments, via a build server, are both efficient and well-controlled. Job responsibilities * Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems * Works closely with multiple teams to understand requirements, create solutions which meets business needs for the widest number of teams * Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems * 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.
- Continuously improves on system stability and efficiency
- Produces architecture and design artifacts for complex applications while
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Applicant
- Experience with build tools such as Maven
- Familiarity with modern back-end technologies
- Deep experience in cloud technologies
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