Lead Software Engineer - Full Stack | Wealth Management Tech - Digital & Client Services

This is an exciting opportunity to join a passionate team dedicated to building products that truly help our users. 

As a Senior Lead Software Engineer at JPMorgan Chase within Asset Wealth Management, you’ll work with cutting-edge technologies in a collaborative, diverse, and innovative environment, tackling complex challenges and driving impactful solutions for our clients. JPMorgan Asset Management offers a broad range of investment strategies and operates in major markets worldwide, with a clear focus on managing client assets and delivering strong risk-adjusted returns.

Job responsibilities 

• 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.

Required qualifications, capabilities, and skills

• 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 (e.g.  JS, React, Angular) for full stack development with demonstrated experience building and maintaining production-grade applications

• Strong proficiency in SQL for 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 (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 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