Full Stack Lead Software Engineer- Java & React JS

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms youare an integral part of an agile team that works to enhance build and deliver trusted data intensive 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 firms business objectives.

Job responsibilities

• Executes creative data intensive software solutions using latest technologies 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

• Expert in Java and Spring Boot for backend development and system architecture with product development experience.
• Proficient in modern front-end frameworks such as React.
• Advanced experience with relational (SQL) and NoSQL databases including data modeling and optimization.
• Hands-on with big data technologies Spark and Kafka for large-scale data processing.
• Skilled in designing and implementing scalable microservices and RESTful APIs.
• Strong background in cloud platforms and DevOps practices (CI/CD Docker Kubernetes).
• Proven ability in driving best practices and code quality.
• Experienced in Agile methodologies sprint planning and cross-functional collaboration.
• Excellent problem-solving analytical and troubleshooting skills for complex technical challenges.
• Effective communicator with stakeholders translating business requirements into robust technical solutions.

Preferred qualifications capabilities and skill

• Experience with GraphQL for advanced API design and data fetching.
• Knowledge of machine learning frameworks Spark ML and data science workflows.