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 Asset and Wealth Management, youare 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

Full Stack Development: Design, develop, and maintain scalable, high-quality full-stack applications with a predominant focus on React.js for the frontend and Python for backend services and APIs.
Cloud Engineering: Architect and implement cloud-native solutions on AWS, leveraging services such as Lambda, API Gateway, S3, EC2, ECS, and more.
AI / LLM Solutions: Actively contribute to the design and development of AI and LLM-based solutions, including integration with LLM APIs, RAG pipelines, prompt engineering, and intelligent automation workflows.
Technical Design & Architecture: Participate in and lead technical design discussions, architecture reviews, and engineering decisions that shape the direction of the product.
Cross-functional Collaboration: Work closely with product managers, UX designers, data scientists, and business stakeholders to translate requirements into robust technical solutions.
Continuous Improvement: Champion best practices in CI/CD, DevOps, testing, and software delivery to continuously improve team velocity and product quality.
Mentorship & Culture: Contribute to a strong engineering culture by mentoring peers, sharing knowledge, and supporting the growth of the broader team.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Strong hands-on proficiency in React.js and modern frontend development (hooks, state management, component architecture)
Strong hands-on proficiency in Python for backend development, REST APIs, and data processing
Demonstrated AWS experience with cloud-native architecture and services (Lambda, S3, EC2, API Gateway, RDS, etc.)
Experience or strong interest in AI/ML and LLM technologies (e.g., OpenAI APIs, LangChain, RAG, vector search, prompt engineering)
Experience building and consuming RESTful APIs and working within microservices architectures
Proficiency with CI/CD pipelines, version control (Git), and DevOps practices
Ability to work independently as a senior individual contributor with minimal supervision
Strong analytical and problem-solving skills with excellent communication abilities

Lead Software Engineer - Python, GenAI