Description
GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally.
The Principal Cloud Platform Engineer - IaaS builds and runs the IaaS Platform and Services as automated, secure, self-service infrastructure, sets the engineering standard within that platform, mentors the engineers around them, and treats the teams who consume the platform as customers.
Key Responsibilities
- Design, build and automate platform infrastructure using infrastructure-as-code and golden paths
- Use AI-assisted engineering across code generation, review and testing to accelerate delivery and raise quality
- Build self-service capabilities and paved roads that reduce friction for consuming teams
- Engineer for reliability by defining SLOs, instrumenting platforms for observability and automating to reduce toil
- Set and uphold engineering standards, secure-by-default practices and code quality within the platform
- Contribute to incident response and drive permanent automated fixes with Reliability Engineering
- Mentor and technically lead other engineers, including partner engineers
- Integrate and assure supplier or managed-service components
- Work the platform's manual task and toil backlog, converting identified candidates into automation
- Close observability coverage gaps for the platform
- Contribute engineering-led items to the platform backlog
- Apply the reference architectures and patterns set by the Platform Architect
Education & Professional Qualifications
- Degree in a technology or engineering discipline, or equivalent practical experience
- Relevant technical certifications desirable
Area of Specialisation
- Hands-on platform engineering in cloud, network or digital workplace
- Automation-first and secure-by-default engineering, with an SRE mindset
Related Experience Required
- Overall 15 Years and Typically 6-8 years in cloud, infrastructure or software engineering
- Strong experience as DevOps, Cloud Engineering / Architecture
- Deep expertise in Windows Server and/or Linux Operating Systems
- Proficient in building solutions using container services
- Practical experience of infrastructure-as-code
- Familiarity with multi-cloud deployments
- Experience with CI/CD pipelines, and with containers and Kubernetes
- Track record building self-service capability that other teams adopted without hand-holding
- Experience instrumenting for observability, defining SLOs and reducing toil through automation
- Experience with AI-assisted engineering tooling
Benefits
- Competitive salary
- Opportunities for growth and development
- Collaborative and inclusive work environment