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# Cloud Software Engineer II

- **Company:** JPMorgan Chase & Co.
- **Location:** Glasgow, UK
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Unit Testing, Cloud Computing, Code Generation, Software Quality, Code Review, Continuous Integration, Python (Programming Language), Pair Programming, Software Tools, Secure Coding, Software Engineering, Toolchain, AWS Lambda, AWS ECS, Kubernetes, Terraform, Code Restructuring
- **Published:** August 25, 2026
- **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210777210

## About the Role

* Formal training or certification on software engineering concepts and applied experience
 * Hands-on experience in one or more languages such as Java, Python or Go
 * Exposure to cloud platforms (AWS) and Infrastructure-as-Code tooling such as Terraform
 * Familiarity with CI/CD practices and the Software Development Lifecycle
 * Understanding of agile methodologies and consistent delivery within a sprint-based model
 * 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

 * Experience with container and orchestration technologies such as AWS Lambda, Kubernetes (EKS), or AWS ECS

## Description

* Writes, tests, and deploys production-quality code with increasing autonomy
 * Implements solutions across the Application Blueprint and Infrastructure Blueprint ecosystem
 * Contributes to code review, pair programming, and shared design discussions
 * Identifies opportunities for continuous improvement in team practices and delivery workflows
 * Shares knowledge with peers and newer team members while continuing to learn from seniors
 * Adds to 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


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