Lead Software Engineer - Full Stack Developer

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 Digital - Connected Banking Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads 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
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years hands on Software Development Life Cycle experience
• Experience implementing solutions using Java, SQL, UI frameworks, Design patterns, microservices, Cloud native architecture, Angular/React, RESTful APIs for enterprise-scale applications.
• Experience with SQL performance tuning, JDBC, and ORM frameworks (Hibernate/JPA)
• Experience in various SQL and NoSQL datastores (Cassandra, Oracle, Mongo DB)
• Experience in AWS technology stack
• Deep knowledge in caching technologies such as Elasticsearch, Reddis and so on
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Proficiency in unit testing frameworks such as JUnit and Mockito for ensuring code quality.
• Deep knowledge of messaging platforms such as Apache Kafka

• Familiarity with DevOps practices, containerization and orchestration
• Exposure to AI systems such as Copilot, Claude