Staff Platform Engineer, AI & Agentic AI Platform Engineering

Pfizer; Stone Cross; Hybrid; GBP 85,000 - 125,000; Full time

Job summary

Pfizer is seeking a Staff Platform Engineer to deliver scalable, secure infrastructure for AI and Agentic AI platform hosting across multi-cloud environments. You will help standardize patterns, automate deployments, and enable GPU enablement, autoscaling, and GitOps-driven operations.

In a hybrid work setting, you will collaborate with cross-functional teams to accelerate innovation while ensuring compliance and reliability at scale.

Qualifications

• Strong experience in platform engineering, DevOps and cloud-native infrastructure.
• Deep Kubernetes expertise and Infrastructure as Code (Terraform/Argo CD).
• Experience with multi-cloud architectures (AWS/Azure/GCP) and GitOps workflows.

Responsibilities

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

Skills

Kubernetes

GitOps workflows

CI/CD pipelines

Cloud architecture

Multi-cloud AWS/Azure/GCP

Education

Bachelor's degree in Computer Science or related field

Master's degree (preferred)

Tools

Argo CD

Terraform

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.

Purpose

Breakthroughs that change patients' lives

... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!

Equal Employment Opportunity

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer iscommitted to celebratingthis,in all itsforms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

DisAbility Confident

We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here!

To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.

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