Software Engineer III - Java / React/ AI

JPMorgan Chase & Co.; Glasgow; On-site; GBP 60,000 - 90,000; Full time

Job summary

JPMorgan Chase & Co. in Glasgow invites an experienced Software Engineer III to join the Wholesale Credit Risk team.

You will design and implement trusted, scalable technology products, contribute to secure production code, and work within an agile environment to support the firm's objectives. You will apply AI-assisted development tools, participate in code reviews, and develop architecture artifacts while ensuring security and resiliency.

Qualifications

• Hands-on practical experience in system design, application development, testing, and operational stability.

Responsibilities

• Execute software solutions, design and debugging, and tackle complex problems beyond routine approaches.
• Create secure, high-quality production code and maintain algorithms across systems.
• Leverage AI-assisted coding tools to improve quality, speed, and productivity, with peer review and secure coding standards.
• Apply SDLC tools and AI-assisted automation to increase automation value.
• Produce architecture and design artifacts and ensure design constraints are met by code.
• Develop visualizations and reports from large data sets for continuous improvement.
• Identify data patterns to improve coding hygiene and system architecture.

Skills

System design

Application development

Testing

Operational stability

CI/CD

Agile methodologies

Security

AI-assisted tools

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within Wholesale Credit Risk, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience
  Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies