• 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.

Related 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.
• Strong experience as DevOps, Cloud Engineering / Architecture
• Deep expertise in Windows Server and/or Linux Operating Systems
• Proficient in building solutions using container services - AKS & GKE
• Practical experience of infrastructure-as-code, for example Terraform, applied to production estates rather than proofs of concept.
• Familiarity with multi-cloud deployments using cloud tools like Camunda, GitHub Action, Azure Arc, Google Anthos etc.
• 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.

• Azure, AWS, and GCP certifications
• undefined
• Hands-on experience deploying container solutions, including Docker containers, and managing K8s deployments using YAML and Helm charts
• Knowledge of cloud cost methodology.
• Knowledge of Pharma practices, GxP, Validation, Audit readiness and how to optimize delivery to accommodate these critical practices

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.

#AGTech

Skills

API Management, Automation Technology, CI/CD, Cloud Architectures, Cloud Financial Operations, Containerization, Database Management, DevOps, DevSecOps, Disaster Recovery (DR), Edge Computing, GitHub Actions, Infrastructure as a Service (IaaS), Infrastructure As Code (IaC), Networking Concepts, Performance Optimizations, Serverless Computing, System Monitors, Terraform (Software), Virtualization

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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