Lead Software Engineer, Java, Full Stack

• Design, develop, and maintain innovative software solutions for the JP Morgan Chase Client Services Platform, addressing complex technical challenges and modernizing business processes
• Write secure, high-quality production code in Java, Spring, and React; review and debug code from team members to uphold best practices.
• Advance the use of AI technologies to improve software development, automation, and operational efficiency.
• Lead hands-on system design, application development, testing, and ensure ongoing operational stability.
• Build and deploy scalable architecture and solutions on Cloud
• Utilize SQL and Snowflake for effective data management, querying, reporting and data sharing
• Take initiative in daily tasks and project work, driving progress and innovation within a small, agile team.
• Collaborate directly with Product Owners & Global stakeholders to gather requirements and deliver high-impact solutions.
• Serve as the primary point of contact for product-related matters, facilitating communication between teams, with high degree of accountability
• Solve technical and business challenges efficiently, proactively addressing issues to support Asset Management reporting and delivery.

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience across the Full Stack Software Development Life Cycle, including system design, application development, testing, and operational stability
• Proficiency in core Java and Front End UI frameworks (egJS, React, Angular) for full stack development with demonstrated experience building and maintaining production-grade applications
• Strong proficiency inSQLfor data querying, transformation, and analysis across large, complex financial datasets
• Practical experience working with cloud technologies (AWS)
• Solid Knowledge of deployment processes, including experience with GIT and version control systems.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Demonstrated experience leading effective use of approved AI-assisted software development tools (eg, 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
• In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Experience in the financial services industry
• Expertise in designing, implementing, and managing cloud-based solutions using AWS, ensuring scalability, reliability, and security for applications.
• Familiarity with observability tools such as Splunk, Dynatrace, or Grafana.
• Hands-on experience with GraphQL for efficient data querying and integration.
• Experience working with data platforms such as Snowflake or Databricks.
• Experience in Kafka messaging

Location Jersey City, NJ, United States of America