Full Stack Software Engineer II - Java

JPMorgan Chase & Co.; Glasgow; On-site; GBP 55,000 - 85,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer II in Glasgow within the Commercial & Investment Bank, Payments Technology. You will join an agile team to design, develop, and deliver secure, scalable software in a fast-paced environment, contributing across the full development lifecycle.

You will write high-quality code in modern languages, collaborate with peers, and responsibly leverage AI-assisted tools to boost productivity while adhering to security and reliability standards.

Qualifications

• Formal training or certification on software engineering concepts
• Hands-on experience in system design, development, testing, and operational stability
• Experience developing, debugging, and maintaining code in a large-scale environment using modern programming languages and database querying
• Experience across the full Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, resiliency, and security practices
• Emerging knowledge of software applications and technical processes (e.g., cloud, AI, ML)
• Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate outputs
• Understanding of responsible AI use in engineering workflows, data sensitivity, and security expectations

Responsibilities

• Execute standard software solutions through design, development, and troubleshooting across multiple system components
• Write secure, high-quality code using at least one programming language with limited guidance
• Design, develop, and troubleshoot with consideration of upstream and downstream systems
• Apply technical troubleshooting to solve basic complexity problems
• Gather, analyze, and draw conclusions from large data sets to identify problems
• Learn and apply SDLC processes and best practices for secure, stable code
• Contribute to a culture of diversity, inclusion, and respect
• Leverage AI coding assist tools to improve code quality and speed, with peer review and secure coding standards
• Use SDLC tools to enhance automation and value

Skills

Programming languages

System design

Debugging

Agile methodologies

Data analysis

AI-assisted development

Education

Software engineering concepts training/certification

Tools

AI-assisted development tools

Job description

You're ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank, Payments Technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm's state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

• Execute standard software solutions through design, development, and technical troubleshooting across multiple system components
• Write secure, high-quality code using at least one programming language with limited guidance
• Design, develop, and troubleshoot with consideration of upstream and downstream systems and their technical implications
• Apply technical troubleshooting skills to break down and solve technical problems of basic complexity
• Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learn and apply system processes, methodologies, and best practices for the development of secure, stable code and systems
• Contribute to a team culture of diversity, opportunity, inclusion, and respect
• Leverages 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
• Applies 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and expanding applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages
• Demonstrable ability to code in one or more languages
• Experience across the full Software Development Life Cycle
• Exposure to agile methodologies such as continuous integration/continuous delivery, application resiliency, and security practices
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Experience with Java, Spring Boot, Kafka, or Kubernetes in an enterprise environment
  Familiarity with container orchestration and microservices architecture patterns