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Location
In office (Glasgow)
Seniority
Middle

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Aug 5, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

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

As a Software Engineer III - Python/Test Automation at JPMorganChase within the Commercial & Investment Bank, particularly in the Payments Technology, 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

  • Design, develop, and maintain robust, scalable test automation frameworks for a complex, high-performance Payments system.
  • Architect and build test automation solutions and reference services using Java to validate software functionality and performance.
  • Apply test automation frameworks intelligently to enhance and execute the overall test landscape.
  • Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches.
  • Produce architecture and design artifacts for complex applications, ensuring software code meets design constraints.
  • Gather, analyze, and visualize large, diverse data sets to drive continuous improvement of software systems.
  • Proactively identify hidden problems and patterns in data to improve coding hygiene and system architecture.
  • Contribute to software engineering communities of practice and participate in events exploring new technologies.
  • Collaborate as part of a global team and conduct detailed peer code reviews.
  • Work closely with stakeholders to define test requirements and strategies.

Required qualifications, capabilities, and skills

  • Hands-on practical experience in Python, Playwright/Selenium, PyTest, application development, testing, and operational stability
  • Demonstrated expertise in managing multiple automation deliveries and diverse stakeholders, consistently ensuring high-quality outcomes even under pressure.
  • Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming language Python along with database querying languages SQL.
  • Hands-on Experience in FAST API, Web UI, API, Database automation
  • Experience in agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Demonstrate full ownership of deliverables, ensuring high standards of quality and adherence to project timelines.
  • Solid understanding of HTTP protocol and REST APIs.
  • Experience in handling and automating large volumes of diverse input files, including CSV, JSON, and XML format

Preferred qualifications, capabilities, and skills

  • Exposure to cloud technologies like AWS/Azure/GCP
  • Exposure to LLM models like ChatGPT, Google Bard etc.
  • Exposure to Langchain, RAG and Fine Tuning of the LLM Models.
  • Exposure to PySpark and Databricks for Data pipeline creation. Familiarity with modern front-end technologies
  • Exposure to cloud technologies
  • Experience with ReactJS front-end development is a plus
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