Software Engineer III – UAT, Payments at J.P. Morgan in the Commercial & Investment Bank. Based in Bournemouth, United Kingdom, this is an on-site role. You will be a seasoned member of an agile team responsible for designing and delivering trusted, market-leading technology products in a secure, scalable way. You will carry out critical technology solutions across multiple domains in support of the firm's business objectives.

Key responsibilities include: - Execute software solutions, design, develop, and troubleshoot, thinking beyond routine approaches. - Produce secure and high-quality production code and maintain algorithms. - Create architecture and design artifacts for complex applications and ensure design constraints are met. - Analyze large data sets to develop visualizations and reporting for continuous improvement. - Identify data patterns to drive improvements to coding hygiene and system architecture. - Contribute to communities of practice and explore new technologies. - Utilize enterprise AI coding assist tools to improve code quality, delivery speed, and productivity, with peer review and secure coding standards; share learnings and reusable patterns. - Use the Software Development Life Cycle toolchain, including AI-assisted development and automation, to enhance automation value. - Foster a culture of diversity, opportunity, inclusion, and respect.

Software Engineer III – UAT, Payments at J.P. Morgan in the Commercial & Investment Bank. Based in Bournemouth, United Kingdom, this is an on-site role. You will be a seasoned member of an agile team responsible for designing and delivering trusted, market-leading technology products in a secure, scalable way. You will carry out critical technology solutions across multiple domains in support of the firm's business objectives.

Key responsibilities include: - Execute software solutions, design, develop, and troubleshoot, thinking beyond routine approaches. - Produce secure and high-quality production code and maintain algorithms. - Create architecture and design artifacts for complex applications and ensure design constraints are met. - Analyze large data sets to develop visualizations and reporting for continuous improvement. - Identify data patterns to drive improvements to coding hygiene and system architecture. - Contribute to communities of practice and explore new technologies. - Utilize enterprise AI coding assist tools to improve code quality, delivery speed, and productivity, with peer review and secure coding standards; share learnings and reusable patterns. - Use the Software Development Life Cycle toolchain, including AI-assisted development and automation, to enhance automation value. - Foster a culture of diversity, opportunity, inclusion, and respect.