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# Software Engineer II- Global Banking Platform

- **Company:** JPMorgan Chase & Co.
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Unit Testing, Client Server Models, Code Generation, Software Quality, Databases, Continuous Integration, Database Queries, Software Debugging, Python (Programming Language), NoSQL, Software Architecture, Prometheus, Secure Coding, Software Engineering, SQL Databases, Toolchain, Grafana, Event Driven Architecture, Kubernetes, Maintaining Code, Apache Kafka, Programming Languages, Microservices
- **Published:** October 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/software-engineer-ii-global-banking-platform/49527513

## About the Role

Python and/or JavaExperience with Kubernetes and TerraformExperience in developing automated tests as an integral part of the development cycle.Overall knowledge of the Software Development Life CycleExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityExperience with any cloud provider.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.Preferred qualifications, capabilities and skillsKnowledge of banking / finance.Certification in AWS, Kubernetes (CKE) and TerraformFamiliar with databases (SQL or NoSQL).Experience with client/server software architectures & networking, or microservice architectures.Experience with observability tools like Grafana, Prometheus, Open Telemetry and others.Experience with streaming architectures and tools (e.g. Kafka) #J-18808-Ljbffr

## Description

technologiesAdds to team culture of diversity, equity, inclusion, and respectLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.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 skillsFormal training or certification on software engineering concepts and applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityProficient in at least one major programming language: Go


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