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Python Software Engineer III

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: JP Morgan Chase
Full Time position
Listed on 2026-09-03
Job specializations:
  • Software Development
    Software Engineer, DevOps, AI Engineer (Applied/Software), Cloud Engineer - Software
Job Description & How to Apply Below
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. At JPMorgan

Chase, you'll collaborate with a diverse, agile team to deliver trusted, market-leading technology products in a secure, stable, and scalable way. We value your expertise and encourage you to push the boundaries of what's possible. Join us and be part of a culture that celebrates innovation, inclusion, and continuous learning.

As a Software Engineer III at JPMorgan

Chase within Corporate Technology, you will serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You will be 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

Execute software solutions across design, development, and technical troubleshooting, thinking beyond routine approaches to build innovative solutions and break down complex technical problems

Create secure, high-quality production code and maintain algorithms that operate synchronously with appropriate systems

Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout software code development

Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Proactively identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture

Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies

Foster a team culture of diversity, opportunity, inclusion, and respect through active collaboration and engagement

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 proficient applied experience

Hands-on practical experience in system design, application development, testing, and operational stability

Proficiency in coding in one or more programming languages

Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages

Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as continuous integration/continuous delivery, application resiliency, and security

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, 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 and evolving user interface frameworks

Exposure to cloud technologies including AWS, Databricks, and agentic AI solutions

Knowledge of industry-wide technology trends and best practices across disciplines such as artificial intelligence, machine learning, and mobile developmentJ.P. Morgan is a global leader in financial services, providing strategic…
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