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Pfizer Inc. is seeking a seasoned Platform Engineer to build reusable infrastructure modules and automate deployment pipelines across AWS and Azure.
You will drive multi-cloud Kubernetes orchestration, implement IaC and GitOps, and contribute to platform standards for observability, security, and compliance in regulated environments. Join a team delivering automated onboarding, runbooks, and self-healing automation, enabling faster delivery for application teams while maintaining strict controls
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.
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.
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.
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.
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!
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms - 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 applica