Senior Scientific Computing Engineer (Cloud Specialist)

Amazon Web Services

Location-specific conditions & benefits*

Colombia

We are seeking a skilled Senior Scientific Computing Engineer with expertise in High-Performance Computing and cloud computing to support our scientific research activities.

The ideal candidate will have experience in managing and optimizing Linux-based High-Performance Computing environments, as well as proficiency in Amazon Web Services cloud services. This role involves collaborating with various R&D groups to provide technical support and drive continuous improvements in our computing infrastructure. The candidate should be adept at handling both open-source and commercial software across different R&D fields.

Responsibilities

Support in-silico activities, including the installation, configuration, and optimization of Linux workstations and applications
Provide continuous improvements and maintenance of the current Linux environments
Manage and optimize Amazon Web Services cloud resources, including key services such as Amazon FSx for Lustre, EC2, S3
Collaborate with research teams to understand their computational needs and provide tailored solutions
Ensure the security, scalability, and efficiency of cloud-based scientific workflows
Troubleshoot and resolve technical issues in both on-premises and cloud environments
Handle the compilation, installation, and maintenance of open-source software and commercial applications
Stay updated with the latest advancements in High-Performance Computing and cloud technologies to recommend and implement improvements

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
3+ years of experience in managing and optimizing Linux-based High-Performance Computing environments
Strong proficiency in Amazon Web Services cloud services, particularly Amazon FSx for Lustre, EC2, S3
Knowledge of cloud architecture, including network design, storage solutions, and security best practices
Familiarity with scripting languages such as Bash, Python, or Perl for automation and system administration tasks
Experience with containerization technologies like Docker and orchestration tools like Kubernetes
Ability to compile, install, and maintain open-source software and commercial applications
Strong problem-solving skills and the ability to work independently and in a team
Excellent communication skills to collaborate effectively with researchers and technical teams

Nice to have

Experience with other cloud platforms such as Google Cloud or Microsoft Azure
Knowledge of bioinformatics or scientific computing workflows
Familiarity with Infrastructure as Code tools like Terraform or CloudFormation
Certifications in Amazon Web Services or other cloud platforms
Experience with software tools in various R&D fields such as Drug Design and Molecular Modeling, Genomics and Data Analysis, Pharmacokinetics and Clinical Simulations, and Structural Biology and Imaging

Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn