Lead DevOps Engineer Remote

Responsibilities

• Collaborate with multidisciplinary users to design workflows and adapt code for HPC environments, ensuring compliance with scheduler policies and software standards
• Analyze user-submitted code for optimization opportunities to improve runtime efficiency and resource utilization
• Partner with users to resolve flagged jobs, providing hands-on troubleshooting and comprehensive technical assistance
• Develop and maintain detailed documentation on workflows, challenges, and best practices to help computational teams maximize HPC system utilization
• Share knowledge and provide training on genomics, cryo-EM, and molecular dynamics workflows integral to biotech and pharma research
• Provide expertise in Linux, Python, and R to support diverse computational demands and enhance HPC efficiency
• Integrate advanced technologies such as TensorFlow, PyTorch, and Cuda programming into workflows to support deep learning applications
• Deliver strategic guidance for using cloud platforms like AWS to complement HPC environments
• Collaborate with global teams to ensure smooth communication and timely delivery of technical solutions
• Identify opportunities for continuous improvement to user workflows and HPC system performance

Requirements

• Background in developing workflows and optimizing code for HPC environments with at least 5 years of related experience
• Expertise in Linux operating systems, along with proficiency in Python and R for scientific programming and automation
• Competency in TensorFlow, PyTorch, and Cuda programming, showcasing skills in incorporating deep learning frameworks into computational workflows
• Familiarity with AWS cloud services and the flexibility to hybridize HPC workflows using cloud-driven solutions
• Knowledge of biotech or pharma workflows, including genomics, cryo-EM, and molecular dynamics, with a focus on accelerating drug development processes
• Proven skills in communicating complex technical concepts to users of varying technical expertise
• Track record of effective collaboration across globally distributed teams to solve challenging computational issues

Nice to have

• Background in supporting computational biology or drug discovery research in biotech or pharma industries
• Contributions to open-source tools designed for HPC or DevOps practices within scientific contexts
• Familiarity with scientific visualization frameworks specifically tailored for computational life sciences
• Qualifications in advanced containerization or cloud-native HPC technologies for DevOps optimization

We offer

• 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