Description
GSK is seeking a senior hands-on SAP Infrastructure Engineer to build and run both Cloud and On-Prem SAP Infrastructure platforms as automated, secure, self-service infrastructure.
The successful candidate will work through infrastructure-as-code and golden paths rather than manual configuration, using AI-assisted engineering across code generation, review, and testing.
Key Responsibilities:
- Build and automate platform infrastructure using infrastructure-as-code and golden paths
- Use AI-assisted engineering 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
- Adopt engineering standards, secure-by-default practices, and code quality within the platform
- Contribute to incident response and drive permanent automated fixes
- Work with principal engineers and partner engineers to link engineering work to platform OKRs and outcomes
- Convert identified manual tasks and toil into automation
- Close observability coverage gaps for the platform
- Contribute engineering-led items to the platform backlog
- Apply 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
Related Experience Required:
- Overall 10 years and typically 5-7 years in platform, infrastructure, or software engineering
- Experience in cloud infrastructure management, preferably with ERP systems
- Practical experience of infrastructure-as-code, for example Terraform
- 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
Skills/Background:
- Automation-first instinct
- Code review discipline
- Mentoring ability with engineers of varying experience
- Judgement about when AI-generated code is fit to merge
- Customer mindset toward consuming teams
- Willingness to make technical debt and its cost visible