Information Technology
Python Developer
Robert Walters
Glasgow, Scotland, United Kingdom
Contract, Not Applicable
Remote: No
Contract, Not Applicable
Remote: No
Company Description
Who We Are
Robert Walters is the world’s most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds.
The Role
Our client is a large multinational firm that provides a range of financial services, including advisory, investment, and asset management solutions. It serves a diverse set of clients worldwide, focusing on strategic planning, market operations, and long-term financial growth.
Job Description
What you’ll do
- Design, develop and maintain production-grade Python applications, automation frameworks and reusable software components.
- Build automation and pipelines for infrastructure deployment, patching, monitoring, alerting, inventory and capacity management.
- Integrate Python solutions with infrastructure, storage platforms, APIs and third-party systems.
- Work with engineering and infrastructure teams to translate requirements into scalable, highly available technical solutions.
- Develop automation for problem management and preventative maintenance, applying software engineering and SDLC best practices.
- Troubleshoot issues across Python applications, Linux, infrastructure and storage environments, collaborating with a global engineering team.
Job Qualifications
What you bring
- Advanced hands-on Python development experience, including production-grade applications, automation frameworks and reusable solutions.
- Strong knowledge of software engineering, Object-Oriented Programming, SDLC best practices and technical troubleshooting.
- Experience with automation, deployment and CI/CD pipelines, including REST APIs, system integration and SQL/database technologies.
- Good working knowledge of Linux/RHEL environments and infrastructure technologies.
- Experience or exposure to enterprise storage, such as IBM Spectrum Scale/GPFS, distributed file systems, SAN, NAS, NFS or iSCSI, with knowledge of storage automation, monitoring or capacity management.
- Exposure to Docker, Kubernetes/OpenShift, AWS, Azure or Google Cloud, or enterprise storage platforms such as NetApp, EMC or Brocade, would be advantageous.