Lead DevOps Engineer

We are seeking a skilled and forward-thinking Lead DevOps Engineer with expertise in High-Performance Computing (HPC) to optimize workflows and resource allocation in support of cutting-edge research in biotech and pharmaceuticals. This position plays a vital role in enhancing efficiency, advancing R&D capabilities, and integrating innovative technologies to improve HPC environments.

Responsibilities

• Collaborate with multidisciplinary teams to design and tailor workflows for HPC systems while ensuring compliance with scheduling policies and software standards.
• Analyze user-submitted code to identify opportunities for optimization, enhancing execution speed and resource utilization.
• Provide technical support and troubleshooting for flagged jobs, working directly with users to resolve issues and offer solutions.
• Develop and maintain comprehensive documentation on workflows, challenges, and best practices to maximize HPC system utilization.
• Deliver training and share expertise on workflows for genomics, cryo-EM, and molecular dynamics, which are critical to biotech and pharmaceutical innovation.
• Leverage knowledge of Linux, Python, and R to address diverse computational requirements and enhance system performance.
• Integrate technologies such as TensorFlow, PyTorch, and Cuda programming into workflows to support deep learning applications.
• Advise teams on leveraging cloud platforms like AWS to extend HPC capabilities and hybridize workflows.
• Collaborate with global teams to ensure seamless communication and timely delivery of technical solutions.
• Identify and implement improvements to workflows and HPC system performance to support ongoing research needs.

Requirements

• At least five years of experience in developing workflows and optimizing code for HPC systems.
• Expertise in Linux operating systems, along with proficiency in Python and R for scientific programming and automation tasks.
• Hands-on experience with TensorFlow, PyTorch, and Cuda programming, demonstrating the ability to incorporate deep learning frameworks into workflows.
• Familiarity with AWS cloud services and the ability to integrate HPC workflows with cloud-based solutions.
• Comprehensive understanding of biotech and pharmaceutical workflows, including genomics, cryo-EM, and molecular dynamics, with a focus on accelerating drug discovery and development processes.
• Proven ability to communicate complex technical concepts effectively to users across varying technical levels.
• Experience working with globally distributed teams to address and resolve computational challenges.

Nice to have

• Experience supporting computational biology or drug discovery efforts within biotech or pharmaceutical industries.
• Contributions to open-source tools or projects related to HPC or DevOps practices in scientific research.
• Knowledge of scientific visualization tools designed for computational life sciences applications.
• Proficiency in advanced containerization or cloud-native HPC technologies to optimize DevOps workflows.

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.