Lead Software Engineer

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 JPMorgan Chase within the Corporate Technology division as a part of the Fice Technology team, you will play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for implementing critical technology solutions across multiple technical areas, supporting various business functions to achieve the firm s business objectives.

Job responsibilities

• Design, build, test, and deploy RSA Archer GRC applications and custom modules
• Collaborate with clients to define requirements and deliver tailored Archer solutions
• Implement advanced workflows, data feeds, API integrations, notifications, and dashboards
• Build and demonstrate Proof of Concepts to illustrate platform capabilities
• Support ongoing maintece, enhancements, and issue resolution for deployed solutions

• Document design specifications and configuration decisions to support knowledge sharing

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience in developing, maintaining, and leading enterprise applications
• Experience in developing, maintaining, and supporting RSA Archer GRC applications
• Hands-on experience as an Archer Developer
• Deep understanding of core Archer components including access management, forms, workflows, APIs, and dashboards
• Extensive experience in XML and XSLT development and transformation
• Strong expertise in SQL Server database design, development, and administration
• Proven ability to manage the full software development lifecycle within the Archer platform

• Experience in ficial risk or regulatory compliance domains
• Ability to manage client relationships and drive technical conversations
• Strong presentation and documentation skills
• Basic understanding of AI and machine learning technologies