# Principal Cloud Foundations Engineer – GCP **Company**: GSK **Location**: Bengaluru **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Healthcare **Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Senior-Principal-Cloud-Foundations-Engineer---GCP_449041?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_b033520b-f4b ## 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 Foundations Engineer – GCP builds and runs the foundation of Google Cloud platform 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, so that provisioning is repeatable rather than reconstructed each time. - Use AI-assisted engineering across code generation, review and testing to accelerate delivery and raise quality, reviewing AI-generated output before it is merged. - Build self-service capabilities and paved roads that reduce friction for consuming teams, so adoption does not depend on the platform team's availability. - Engineer for reliability by defining SLOs, instrumenting platforms for observability and automating to reduce toil, working with the Site Reliability Engineer on standards. - Set and uphold engineering standards, secure-by-default practices and code quality within the platform, and hold them in code review. - Contribute to incident response and drive permanent automated fixes with Reliability Engineering rather than repeating manual recovery. - Mentor and technically lead other engineers, including partner engineers, linking engineering work to platform OKRs and outcomes. - Integrate and assure supplier or managed-service components, holding partner-delivered engineering to the same standards and code quality as internal work. - Work the platform's manual task and toil backlog, converting identified candidates into automation and evidencing the effort removed. - Close observability coverage gaps for the platform, so that reliability can be measured rather than inferred. - Contribute engineering-led items to the platform backlog held by the Product Owner, including technical debt, upgrade and automation work, with the cost of not doing them stated. - Apply the reference architectures and patterns set by the Platform Architect, and raise a case for change rather than diverging locally. **Education & Professional Qualifications** - Degree in a technology or engineering discipline, or equivalent practical experience (e.g., Computer Science, Software Engineering, Electronics). - Relevant technical certifications desirable (e.g., a recognised cloud certification for AWS, GCP or Azure, Certified Kubernetes Administrator, or a network vendor certification relevant to the platform). **Area of Specialisation** - Hands-on platform engineering in cloud, network or digital workplace, covering infrastructure-as-code, CI/CD and containers where relevant. - Automation-first and secure-by-default engineering, with an SRE mindset covering SLOs, observability and toil reduction. **Experience Required** - Overall 15 years and typically 6-8 years in cloud, infrastructure or software engineering, including at least two years as the senior technical voice in a team. - Experience deploying landing zones and services in Google Cloud Platform (GCP). - Practical experience of infrastructure-as-code, for example Terraform, applied to production estates rather than proofs of concept. - Experience with CI/CD pipelines, and with containers and Kubernetes where relevant to the platform. - 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, including judgement about when generated output is not fit to merge. **Desirable:** - Certifications in cloud platforms (e.g. Google Professional Cloud Architect, Azure Solutions Architect Expert). - Knowledge of Cloud Cost methodology - Familiarity with multi-cloud deployments using cloud tools like Camunda, GitHub Action, Azure Arc, Google Anthos etc. - Knowledge of Pharma practices, GxP, Validation, Audit readiness and how to optimize delivery to accommodate these critical practices **Related Skills/Background** - Automation-first instinct, treating a repeated manual task as a defect rather than as work. - Code review discipline, holding quality without becoming a bottleneck. - Mentoring ability with engineers of varying experience, including partner engineers outside the line. - Judgement about when AI-generated code is fit to merge and when it is not. - Customer mindset toward consuming teams, who can route around a platform that is hard to use. - Willingness to make technical debt and its cost visible rather than absorbing it silently. ## Skills ### Required - API Management - Artificial Intelligence Techniques - Automation Technology - Cloud Architectures - Cloud Financial Operations - Containerization - Cost Optimization - Database Management - Deployment Management - DevOps - Disaster Recovery (DR) - Docker Container - Edge Computing - Infrastructure As Code (IaC) - Kubernetes - Networking Concepts - Performance Optimizations - Serverless Computing - System Monitors - Terraform (Software) - Virtualization --- Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Senior-Principal-Cloud-Foundations-Engineer---GCP_449041?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)