Staff Platform Engineer - AI, Multi-Cloud & GitOps

Pfizer Inc.

Knaphill

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

Pfizer Inc. is seeking a Staff Platform Engineer to shape our AI & Agentic AI Platform hosting environments. Reporting to the Principal Platform Engineer, you will deliver scalable, compliant infrastructure across multiple clouds, enabling AI-driven workflows.

You will build reusable patterns, automate deployments, and drive GPU enablement and GitOps practices while maintaining reliability and cost efficiency in regulated environments.

Qualifications

  • Experience in platform engineering, DevOps, and cloud-native infrastructure.
  • Deep knowledge of Kubernetes and container orchestration.
  • Proven multi-cloud experience (AWS/Azure/GCP) and GitOps workflows.

Responsibilities

  • Craft reusable modules and templates for environment provisioning in AWS and Azure.
  • Operate CI/CD pipelines with auditable delivery.
  • Automate onboarding and environment setup for application teams.
  • Deliver runbooks, incident response guides, and self-healing automation.
  • Contribute to platform architecture for shared hosting and delivery pipelines across multiple clouds.
  • Design and implement multi-cloud infrastructure patterns using IaC and GitOps.
  • Drive Kubernetes orchestration, autoscaling, and workload isolation for services.
  • Refine standards for observability, security, and compliance in regulated environments.

Skills

Platform engineering
DevOps
Cloud-native infra
Kubernetes

Education

BSc/MSc in CS/Engineering

Tools

Terraform
Argo CD
GitOps

Job description

Pfizer Inc. is seeking a Staff Platform Engineer to shape our AI & Agentic AI Platform hosting environments. Reporting to the Principal Platform Engineer, you will deliver scalable, compliant infrastructure across multiple clouds, enabling AI-driven workflows.

You will build reusable patterns, automate deployments, and drive GPU enablement and GitOps practices while maintaining reliability and cost efficiency in regulated environments.

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