Description
GSK's Enterprise AI team builds and deploys AI solutions at scale. The Senior Platform Engineer (G6) runs the Accelerator platform estate, applying Site Reliability Engineering principles, managing strategic vendor relationships, and building the automation and infrastructure-as-code foundations.
The role leads the platform engineering team and sets its technical direction. The team uses AI-augmented engineering, with AI coding assistants handling routine tasks, freeing the manager and team to focus on architecture, Google Cloud platform strategy, and reliability.
Key Responsibilities:
- Platform Operations & SRE: Run the Google Cloud and SaaS platforms, ensure availability, security, and cost efficiency. Own Google Cloud platform architecture, design and operate BigQuery and Vertex AI environments.
- AI-Augmented Engineering: Use AI coding assistants as the default mode of work, build automations that handle routine platform tasks at scale.
- Developer Experience & Security: Treat platform users as customers, deliver self-service capabilities, clear documentation, and fast onboarding.
- Vendor Management & Standards: Act as the technical counterpart to strategic SaaS and cloud vendors, continuously evaluate emerging AI tooling.
- Team Leadership & Reporting: Lead and develop the platform engineering team, track and report AI tooling adoption, and manage platform budget and cloud cost.
Required Experience:
- 15 years of professional experience
- 8 years of experience running SaaS or cloud platforms in a production setting
- Strong proficiency in Python and SQL
- Hands-on experience with Infrastructure-as-Code (Terraform), GitOps, and modern CI/CD
- Hands-on production experience with Google Cloud data and AI services
- Daily use of AI coding agents
- Experience operating production services with SLOs and on-call practices
- Experience managing or leading engineers
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