Senior Lead Software Engineer - Java/Python Full stack, Infrastructure

Join a team where your skills drive innovation and shape technology solutions. Experience growth and make a meaningful impact in a collaborative environment. As a Senior Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms team, you will play a pivotal role in enhancing, building, and delivering trusted technology products in a secure, stable, and scalable way. You will influence architecture and design decisions, lead modernization initiatives, and enable high-quality delivery through your expertise. You will apply deep technical knowledge and problem-solving skills to address diverse challenges across various business functions, supporting the firm’s objectives.

Design, develop, and deliver secure, scalable, and resilient full-stack solutions (UI, APIs, backend services, integrations, and database components). Lead requirements clarification, solution design, and delivery readiness by partnering with product leads, architects, stakeholders, and engineering teams. Drive technical decisions that influence product design, application functionality, architecture, and operational processes. Develop secure, high-quality production code; review and debug code written by others; establish engineering standards, reusable patterns, and best practices. Lead modernization and engineering excellence initiatives, including architecture reviews, cloud adoption, automation, reusable components, platform standards, and continuous improvement. Provide technical leadership, domain knowledge, guidance, coaching, and mentorship to engineers, technical leads, contractors, and vendors. 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. Partner with Product, Architecture, Operations, SRE, and business stakeholders to ensure successful delivery, operational stability, and achievement of business objectives. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts and 12+ years applied experience. Hands-on experience delivering system design, application development, testing, operational stability, and architecture-led engineering solutions within large-scale enterprise environments. Advanced proficiency in one or more modern programming languages, with extensive experience developing, debugging, reviewing, and maintaining high-quality code. Strong full-stack SDLC experience across Java, Spring Boot, Python, React/Angular, including microservices, distributed systems, API design, and scalable application architectures. Practical experience with database technologies (Oracle, SQL Server, or similar), reporting/visualization tools, and enterprise integration patterns. Proven experience driving engineering excellence through automation, CI/CD, testing strategies, DevOps practices, and delivery optimization. Strong understanding of agile methodologies, application resiliency, secure engineering practices, and management of complex stakeholder, technology, and delivery dependencies. 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