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Pfizer · 6 hours ago

Staff Engineer, Sr. Manager

St Louis, MO

Full-time

Hybrid

Senior Level, Lead/Staff

$124K/yr - $201K/yr

6+ years exp

Pfizer is committed to the application of computational science in drug discovery and development, and they are seeking a Staff Engineer, Sr. Manager to drive architecture and operational excellence in cloud engineering. The role involves designing and delivering High Performance Computing (HPC) solutions and collaborating with engineers to develop scalable cloud-native infrastructure.

BiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine

No H1B

U.S. Citizen Only

Responsibilities

In this role you will 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 (Slurm, Open On Demand, Prometheus/Grafana, batch and distributed computing platforms) across cloud environments

Translate stakeholder input into robust, high-performance, scalable, cost effective computing platforms

Partner with HPC specialists (engineers, administrators, and users) 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 to ensure repeatable environment provisioning and scaling

Create reusable Terraform modules. Develop and enforce standards. Be a driver for implementing and maintaining 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 (e.g., CloudWatch, Prometheus/Grafana)

Design new dashboards, workflows, and utilities to improve observability, cost monitoring, workload efficiency, user, or administration experience

Document architecture, deployment processes, and operational procedures

Partner closely with team members to support delivery of scientific computing services including user support, Linux administration, operations, job scheduling, application management, and resource optimization