Full Stack Software Engineer II - Java

JPMorganChase

Glasgow

On-site

GBP 55,000 - 75,000

Full time

14 days+

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Job summary

JPMorganChase is seeking a Software Engineer II within the Commercial & Investment Bank's Payments Technology group. You will be part of an agile team delivering secure, scalable software components, and you will grow your skills through design, development, and troubleshooting across multiple systems.

You will contribute to secure coding, debugging, and the full software development life cycle, using modern languages and cutting-edge AI-assisted tools while aligning with enterprise standards

Qualifications

  • 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 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 CI/CD, application resiliency, and security practices.
  • Emerging knowledge of software applications and technical processes (cloud, AI, ML, mobile, etc.).
  • Hands‑on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate outputs.

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 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 aid decision‑making.
  • Learn and apply SDLC processes and best practices for secure, stable code and systems.
  • Contribute to a team culture of diversity, opportunity, inclusion, and respect.
  • Leverages enterprise‑authorized AI coding assist tools to improve code quality and speed, with peer review and secure coding standards.
  • Applies knowledge of SDLC tools, including AI-assisted development and automation, to improve value of automation.

Skills

Software design
Application development
Testing
Operational stability
CI/CD
Agile methodologies
AI-assisted development
Secure coding
Data analysis
Problem solving

Education

Formal software engineering training or certification
Experience with SDLC

Job description

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.

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
ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives.

We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Visit our FAQs for more information about requesting an accommodation.

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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