At a Glance
- Tasks: Join our Platform team to enhance cloud infrastructures and develop scalable solutions.
- Company: Global, a leading tech company with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture that values learning, knowledge sharing, and technical excellence.
- Why this job: Make a real impact by solving complex challenges in a dynamic engineering environment.
- Qualifications: Experience in platform engineering, cloud technologies, and strong coding skills required.
The predicted salary is between 60000 - 80000 £ per year.
Your Role: Join our Platform team and help shape the systems that power Global’s technology platforms. Working across cloud infrastructures, CI/CD pipelines, and application hosting environments, you’ll develop and improve scalable, reliable solutions that support business-critical systems across the organisation.
Key Responsibilities
- Platform Engineering & Automation: Support, maintain, and enhance our application hosting and build platforms across AWS, Kubernetes, Jenkins, and GitHub. Develop automation and tooling using technologies such as Python, Java/Groovy, Go, and Terraform.
- Technical Leadership & Best Practice: Lead code reviews and champion engineering best practices across security, performance, maintainability, and testing. Contribute to technical standards and continuous improvement initiatives within the team.
- Operational Excellence & Collaboration: Maintain reliable production environments, improve observability and monitoring systems, and respond to proactive and reactive support alerts. Work collaboratively across the Technology department while mentoring and supporting other engineers.
What You’ll Love About This Role
- Think Big: Work across a broad range of business-critical systems and technologies that have real impact across Global.
- Own It: Take responsibility for improving platform reliability, automation, and deployment processes in a modern engineering environment.
- Keep it Simple: Solve complex technical challenges using industry-standard tooling and scalable engineering practices.
- Better Together: Be part of a collaborative team culture that values code reviews, pair programming, continuous integration, learning, and knowledge sharing.
What Success Looks Like
In your first few months, you’ll have:
- Built a strong understanding of our existing build and deployment architecture
- Contributed improvements to technical solutions and ways of working
- Delivered new features, fixes, and platform enhancements
- Demonstrated a collaborative approach to problem-solving and delivery
- Shared knowledge with the team while continuing to develop new skills
What You’ll Need
- Platform & Cloud Engineering Experience: Strong experience solving complex engineering problems across distributed systems, with exposure to AWS and Kubernetes environments
- Software Development & Automation Skills: Experience working across the full software development lifecycle with strong coding and automation capabilities
- Systems Thinking: Understanding of system architecture and the ability to think end-to-end across platforms and services
- Quality Engineering Mindset: Experience writing well‑tested, maintainable, secure, and performant code, including infrastructure testing (Terraform Testing, BDD‑style integration tests)
- Stakeholder Collaboration: Ability to work effectively in multi‑tenant environments with multiple stakeholders and competing priorities
Senior Platform Engineer in Glasgow employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
