Lead Scientific Computing Engineer (Cloud Specialist)

Amazon Web Services

Location-specific conditions & benefits*

Colombia

We are looking for a highly skilled Lead Scientific Computing Engineer with a background in High-Performance Computing and cloud computing to support our scientific research initiatives.

The ideal candidate will have a strong background in managing and optimizing Linux-based High-Performance Computing environments, along with expertise in Amazon Web Services cloud services. This position requires collaboration with various R&D teams to provide technical support and implement improvements in our computing infrastructure. The candidate must have competency in handling both open-source and commercial software across diverse R&D disciplines.

Responsibilities

Support in-silico activities such as installing, configuring, and optimizing Linux workstations and applications
Deliver continuous improvements and maintenance for existing Linux environments
Oversee and optimize Amazon Web Services cloud resources, including key services like Amazon FSx for Lustre, EC2, S3
Work closely with research teams to address computational needs and provide customized solutions
Enhance the security, scalability, and efficiency of cloud-based scientific workflows
Resolve technical issues in both on-premises and cloud environments
Compile, install, and maintain open-source and commercial software applications
Stay informed on advancements in High-Performance Computing and cloud technologies to drive improvements

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline
5+ years of expertise in managing and optimizing Linux-based High-Performance Computing environments
1+ years of leadership experience in relevant roles
Proficiency in Amazon Web Services cloud services such as Amazon FSx for Lustre, EC2, S3
Understanding of cloud architecture, including networking, storage solutions, and security best practices
Familiarity with scripting languages like Bash, Python, or Perl for automation and system administration
Skills in containerization technologies like Docker and orchestration tools including Kubernetes
Capability to compile, install, and maintain open-source and commercial applications
Strong problem-solving and the flexibility to work independently and in team settings
Effective communication skills for collaborating with researchers and technical teams

Nice to have

Expertise in other cloud platforms like Google Cloud or Microsoft Azure
Background in bioinformatics or scientific computing workflows
Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation
Qualifications in Amazon Web Services or other cloud-based certifications
Understanding of software tools across R&D fields like 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