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About the Role

This role leverages extensive experience in cloud engineering and DevOps to design and deliver robust High Performance Computing (HPC) solutions supporting computational workloads. The individual will drive architecture, infrastructure automation, migration, and operational excellence, collaborating with HPC engineers and scientific computing specialists to develop scalable cloud-native infrastructure.

Responsibilities

• Design, implement, operate, and own robust and dependable infrastructure for HPC and ML/AI workloads in a cloud environment (AWS/GCP).
• Lead containerization, deployment, and operation of user- and admin-facing HPC platforms across cloud environments.
• Translate stakeholder input into robust, high-performance, scalable, cost-effective computing platforms.
• Partner with HPC specialists to capture institutional knowledge and manual processes in IaC workflows, transforming ad-hoc deployment practices into reproducible, version-controlled, automated procedures.
• Develop and maintain infrastructure automation using IaC tools like Terraform and CloudFormation.
• Create reusable Terraform modules and enforce standards.
• Implement and maintain all cloud infrastructure using IaC tools.
• Operationalize containerized solutions using Docker and Kubernetes.
• Own the full lifecycle of infrastructure management, from provisioning to operations, support, updating, and teardown of production computing platforms.
• Perform troubleshooting, system analysis, and benchmarking to resolve issues and maintain a high-performance environment.
• Develop and maintain monitoring, logging, and alerting for the infrastructure.
• Design new dashboards, workflows, and utilities to improve observability, cost monitoring, workload efficiency, user, or administration experience.
• Document architecture, deployment processes, and operational procedures.
• Support delivery of scientific computing services including user support, Linux administration, operations, job scheduling, application management, and resource optimization.

Requirements

• B.S. in computer science, life science, data science or similar fields.
• 6+ years of experience in cloud infrastructure engineering with a proven track record of developing and supporting robust IaC deployments.
• Experience managing scientific computing workloads in an enterprise environment.
• Advanced experience with at least one of AWS and GCP, including knowledge of core compute and storage services relevant to HPC.
• Solid understanding of cloud networking, identity, and security controls.
• Prior experience with HPC deployment utilities including AWS ParallelCluster, AWS Parallel Computing Services, and Google Cloud Cluster Toolkit.
• Proficiency with distributed computing environments, especially EKS/GKE/Kubernetes.
• Familiarity with HPC environments, job schedulers (Slurm), HPC application containers (Docker, Singularity, Apptainer) and NVIDIA GPU computing.
• Demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
• Occasional international travel for team meetings and conferences.
• Must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business.
• Permanent work authorization in the United States.
• Candidates must be authorized to be employed in the U.S. by any employer.

Skills

• Cloud Engineering
• DevOps
• High Performance Computing (HPC)
• Infrastructure as Code (IaC)
• Terraform
• CloudFormation
• Docker
• Kubernetes
• AWS
• GCP
• Slurm
• Open On Demand
• Prometheus
• Grafana
• CloudWatch
• Linux Administration
• NVIDIA GPU computing
• Singularity
• Apptainer
• AWS ParallelCluster
• AWS Parallel Computing Services
• Google Cloud Cluster Toolkit
• EKS
• GKE

Location

• Hybrid

Work Type

• Hybrid

Experience Level

• 6+ years of experience in cloud infrastructure engineering

Education Level

• B.S. in computer science, life science, data science or similar fields

Salary/Compensations

• $124,400.00 - $207,400.00
• bonus target of 17.5% of the base salary
• eligibility to participate in our share based long term incentive program

Benefits

• 401(k) plan with Pfizer Matching Contributions
• Additional Pfizer Retirement Savings Contribution
• Paid vacation, holiday and personal days
• Paid caregiver/parental and medical leave
• Health benefits to include medical, prescription drug, dental and vision coverage
• Relocation assistance may be available

About the Company

• Pfizer's committed to the application of computational science in the areas of drug discovery and development.
• Recently embarked on a large-scale migration of our computational infrastructure to cloud.
• Information & Business Tech

Equal Opportunity

• Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.
• Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.
• Pfizer is an E-Verify employer.
• This position requires permanent work authorization in the United States.
• U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.