Python Software Engineer III
On-siteGlasgow, Scotland, United Kingdom
Job Summary
Execute software solutions across design, development, and technical troubleshooting to build innovative products that break down complex technical problems. Create secure, high-quality production code and maintain algorithms operating synchronously with appropriate systems while producing architecture and design artifacts for complex applications. Gather, analyze, and synthesize visualizations from large data sets to drive continuous improvement in software applications and systems. Proactively identify hidden patterns in data to improve coding hygiene and system architecture, leveraging enterprise-authorized AI coding assist tools to enhance code quality and delivery speed. Contribute to engineering communities of practice and foster a culture of diversity, inclusion, and respect through active collaboration.
Required Qualifications
- 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
Desired Qualifications
- 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 development
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.