Lead Software Engineer Python

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As a Lead Software Engineer at JPMorganChase within CORPORATE SECTOR - CORPORATE TECHNOLOGY, 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 delivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. 

 Job Responsibilities  • Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems. • Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices. • Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution. 

• 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.

 • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies • Adds to team culture of diversity, opportunity, inclusion, and respect.• Promptly investigate and resolve issues, ensuring they do not resurface. • Design and build solutions that avoid single points of failure using scalable architectural patterns. • Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance. 
 Required qualifications, capabilities, and skills  

• Formal training or certification on software engineering concepts and 5+ years applied experience.

• Proficiency in back-end technologies (e.g., Python, Flask, Django) with experience building microservices-based applications;  front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular). • Demonstrated ability to independently solve design and functionality challenges with minimal supervision. • Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON. • Hands-on experience designing and building scalable applications using SQL and NoSQL databases. • Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.• Understanding of application resiliency 

• 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

• 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.).  Preferred qualifications, capabilities, and skills  • Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management. • Strong problem-solving, analytical, and communication skills. • Ability to drive broader impact by sharing and contributing best practices. • Experience in the banking domain. • AWS certification.