Lead Software Engineer - Java/Python, AWS, Data

JobID: 210720910Category: Software EngineeringJobSchedule: Full timePosted Date: 2026-06-22T17:52:07+00:00JobShift: Day: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 Consumer & Community Banking, you are 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.Job responsibilities:Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDrives 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.Develops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skills:Formal training or certification on software engineering concepts and 5+ years applied experience.10+ years of hands-on experience in the software industry, specializing in Java, Python, AWS (including EKS, S3, Lambda, EMR), and Terraform.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 practicesExtensive experience with databases such as Cassandra and graph databases.Strong exposure to security and infrastructure within cloud environments.Practical cloud-native development experience, with a focus on designing and delivering robust solutions.Demonstrated expertise in software design principles and complete end-to-end, hands-on delivery.Experience with MLOps and streaming systems such as Kafka and Flink is optional but considered a plus.Hands-on practical experience delivering system design, application development, testing, and operational stability.Proficiency in automation and continuous delivery methods.Preferred qualifications, capabilities, and skills:Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).Proficient in all aspects of the Software Development Life Cycle.Advanced proficiency in one or more programming languages.In-depth knowledge of the financial services industry and their IT systems.