JPMorgan Chase—Lead Software Engineer- Python,Django & ReactJS

Job description

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 JPMorgan Chase within the Infrastructure Platforms 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 responsibilities - Build and enhance self-service tools, APIs, and interfaces that empower users to request, manage, and monitor database resources with minimal manual intervention - Integrate database automation workflows with enterprise platforms, CI/CD pipelines, and cloud/on-prem infrastructure using scripting languages (Python, etc.) and automation frameworks - Execute creative software solutions, design, development, and technical troubleshooting by thinking beyond routine or conventional approaches to build solutions or break down technical problems - Develop secure, high-quality production code, and review and debug code written by others - Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems - Lead 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 - Design, develop, and optimize complex T-SQL queries, stored procedures, functions, and triggers to support business applications and data processing needs - Deliver hands-on practical experience in system design, application development, testing, and operational stability - Collaborate with cross-functional teams to deliver business solutions and ensure operational stability and performance of developed applications - Drives team adoption of enterprise-authorised 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-authorised AI-assisted development and automation capabilities, to improve the value realised by automation Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 5+ years applied experience - Extensive experience in coding applications using ReactJS / NodeJS/ Python / Django / Databases. - Hands-on practical experience delivering system design, application development, testing, and operational stability - Advanced in one or more programming language(s), exhibit excellent Python programming skills - Proficiency in automation and continuous delivery methods - Proficient in all aspects of the Software Development Life Cycle - Advanced understanding of agile methodologies such as 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.) - 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 - Practical cloud native experience - Ability to initiate and implement ideas to solve business problems - Advanced development experience in one(Python preferred) or more programming language(s). - Passion for learning new technologies and driving innovative solutions. - Extensive working experience in Database technologies is preferred.