DevOps Engineer + HPC

DevOps Engineer + HPC (High Performance Computing) is a must with any Pharma/Life science experience.

Client: Pharma Client

Location: US, Remote

We're seeking a DevOps Engineer with High Performance Computing (HPC) expertise to design, automate, and maintain the infrastructure supporting the compute-intensive scientific and research workloads (e.g., genomics, molecular modeling, drug discovery simulations). This role bridges traditional DevOps practices with specialized HPC cluster management in a life sciences/pharma environment.

===è Cloud Systems Engineer (AI/ML & HPC Specialization)

Key Responsibilities:

·         Design, implement, and manage cloud-based infrastructure that supports AI/ML workflows. for

·         Collaborate with data scientists and ML engineers to deploy scalable machine learning models into production.

·         Ensure the security, scalability, and reliability of AI/ML systems in the cloud.

·         Optimize cloud resources for cost-effective and efficient use.

·         Stay current with the latest in cloud services, AI/ML tools, and industry best practices.

·         Provide technical leadership and guidance in cloud and AI/ML architecture.

·         Develop and maintain CI/CD pipelines for AI/ML model training and deployment.

·         Monitor and troubleshoot AI/ML applications and cloud environments.

·         Document system design and operational procedures.

·         Collaborate with AI/ML and HPC teams to understand their computing and storage needs.