Lead Software Engineer - Java/Python/Databricks/AWS

Job description

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 JPMorganChase within the Corporate Sector - Corporate Data and Analytics Service team, 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 responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problemsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives 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.Identifies 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 architecture Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s) (i.e., Python, Java, Databricks, AWS, etc.)Experience in delivering system design (design patterns, reliability and scaling), application development, testing and supportDemonstrated 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 securityStrong stakeholder management and communication skills with excellent analytical skills (i.e. problem solving)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 dealing with growing data ingestion, data management and data analyticsDisciplined approach to code management, testing and deployment practices and being a self-starter with the ability to quickly pick up new ideas, concepts and technologiesProficient in all aspects of the Software Development Life Cycle and in-depth knowledge of the financial services industry and their IT systemsAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security also experience Preferred qualifications, capabilities, and skillsCertifications of any specific specialty (i.e., AWS Certified Cloud Practitioner, AWS Certified Data Engineer - Associate, etc.) Experience with Data Integration and Analytical skills