Staff Platform Engineer, AI & Agentic AI Platform Engineering

Pfizer; United Kingdom; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Pfizer is seeking a Staff Platform Engineer to deliver scalable, secure, and compliant infrastructure across AI and Agentic AI Platform hosting environments. You will implement the technical vision for foundational services enabling multi-cloud hosting with GitOps and automation.

The role emphasizes automation, observability, and regulatory compliance in a hybrid work setup. The opportunity involves leading platform engineering efforts, contributing to Kubernetes orchestration, and partnering

Qualifications

• Experience building platform services and infrastructure at scale.
• Deep expertise in Kubernetes, container orchestration, and IaC tooling (Terraform).
• Proven track record with multi-cloud architectures (AWS/Azure/GCP) and GitOps workflows (Argo CD).

Responsibilities

• Build reusable platform modules and templates for environment provisioning in AWS/Azure.
• Operate and improve CI/CD pipelines with auditable delivery.
• Automate onboarding and environment setup for application teams.
• Deliver runbooks and self-healing automation for critical services.
• Drive platform architecture for shared hosting and delivery pipelines across clouds.

Skills

Kubernetes

Multi-cloud

CI/CD pipelines

Observability

Security & compliance

GitOps workflows

Education

Bachelor's or Master's in CS/Engineering

Tools

Terraform

Argo CD

Job description

## **ROLE SUMMARY**Staff Platform Engineer is an individual contributor role reporting to the Principal Platform Engineer. This role delivers infrastructure and delivery outcomes across AI & Agentic AI Platform hosting platforms.You implement the technical vision for foundational platform services that enable multi-cloud hosting and operations, as well as AI-driven workflows. You build scalable, secure, and compliant infrastructure while partnering with cross-functional teams to accelerate innovation and operational excellence. Success requires deep technical expertise, practical judgment, and the ability to collaborate and influence.You standardize infrastructure patterns, automate deployments, and integrate capabilities such as GPU enablement, autoscaling, and GitOps practices, so platforms stay reliable, compliant, and high performing at scale.## **ROLE RESPONSIBILITIES**### ### **Platform Engineering and Automation*** Build reusable modules and templates for environment provisioning in AWS and Azure.* Operate CI/CD pipelines that standardize build, test, and deploy flows with auditable delivery.* Automate onboarding and environment setup to minimize manual effort for application teams.* Deliver runbooks, incident response guides, and self-healing automation for critical services.* Contribute to platform architecture for shared hosting and delivery pipelines across multiple clouds.* Design and implement multi-cloud infrastructure patterns using Infrastructure as Code and GitOps.* Drive Kubernetes orchestration, autoscaling, and workload isolation for web, worker, and data services.* Help refine standards for observability, security, and compliance aligned to regulated environments.### **Operational Excellence*** Run multi-environment Kubernetes clusters with hardened ingress, registry access, and role-scoped permissions.* Maintain platform services for logging, metrics, alerts, registries, DNS, and TLS.* Enforce guardrails such as resource limits, quotas, network policies, and least-privilege access.* Participate in post-incident reviews and drive improvements for reliability and cost efficiency.## ## **BASIC QUALIFICATIONS*** Strong experience in platform engineering, DevOps, and cloud-native infrastructure.* Deep expertise in Kubernetes, container orchestration, and Infrastructure as Code (Terraform).* Proven experience with multi-cloud architecture (AWS, Azure, GCP) and GitOps workflows (Argo CD).* Strong background in CI/CD pipeline design, observability, and security/compliance frameworks.* Bachelor's or master's degree in computer science, Engineering, or related technical field.## **PREFERRED QUALIFICATIONS*** Familiarity with Generative AI infrastructure, evaluation frameworks, and integration patterns.* Knowledge of GxP/regulated environments and qualification processes.* Proven Track record of driving platform adoption and mentoring engineering teams.* Experience in pharmaceutical, healthcare, or other highly regulated industries.Work Location Assignment: Hybrid (some office presence is required)This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.