Software Engineer

Lead Software Engineer - Common ServicesAs 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 ResponsibilitiesExecutes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsWorks closely with multiple teams to understand requirements, create solutions which meets business needs for the widest number of teamsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsDrives 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 efficiencyProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentContributes to software engineering communities of practice and events that explore new and emerging technologiesAdds to team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and SkillsFormal training or certification on software engineering concepts and applied experienceHands-on practical experience in system design, application development, testing, and operational stabilitySolid development experience and hands-On coding experience in Java, Micro Services, Spring Boot, Kubernetes, Cloud Computing, Oracle, KafkaDemonstrated 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 practicesExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and SecuritySolid experience with Cloud deployment solutions such as KubernetesPreferred Qualifications, Capabilities, and SkillsAdvanced competency in Java, Micro Services, Spring Boot, Kubernetes, Cloud Computing, Oracle, Kafka, AWS, Databricks, Data Mesh, Graph QLExperience with build tools such as MavenFamiliarity with modern back-end technologiesDeep experience in cloud technologies