DevOps Engineer


Job description:

Compugen’s extraordinary multidisciplinary team is one of its greatest assets. Our employees, coming from different backgrounds with diverse ways of thinking, work together in an atmosphere that cultivates excellence, creativity and openness. The cooperation of people from various disciplines involving different areas of expertise is fundamental to our ability to establish unique predictive drug discovery solutions, as well as to discover and develop novel therapeutic proteins and drug targets. This merging of talent from various disciplines continues to serve as a key growth driver and enables us to fulfill our mission and business goals. We are expanding our software and data engineering team under the Computational Discovery unit and seeking a DevOps Engineer to drive hands-on development of our AWS cloud infrastructure.

The DevOps Engineer will lead the ongoing cloud migration and provide support, maintenance, data security best practice, compute, and storage optimization to enable a successful cloud operation by the Computational Discovery team.

– Lead cloud migration of remaining on-premise systems
– Provide Cloud Support and cost optimization for storage and compute
– Training the Computational Discovery Team on Cloud utilization and best practice
– Develop workflow and pipeline automation
– Apply best practice in Data Security
– Support software engineers on AWS aspects of proprietary analytics platform development
– Collaborate with third party vendors of cloud-based software and professional services

Required qualifications:

– 3+ years hands-on Cloud DevOps industry experience – AWS Preferred
– B.Sc. or equivalent hands-on years of experience in Computer Science/Engineering
– Extensive experience in AWS services (or parallel) such as EC2, IAM, VPC, ELB, Autoscaling, Lambda, Batch, RDS, API-gateway and others
– Best practices in version control (Github), data-security and documentation
– Experience with infrastructure as code (Terraform) & Docker deployment
– Configuration and management of databases and analytics engines such as PostgreSQL, MongoDB, DynamoDB, RedShift, Apache Spark and AWS SageMaker
– Software development experience in any/most of the following skills: Python, Bash and R
– Understanding of networking concepts (e.g. subnetting, VPC)
– Basic system administration skills in Linux
– Experience with Data-lake architecture – an advantage
– Experience in the biotech and pharmaceutical industry – an advantage
– AWS Certified- an advantage
– Problem-solving and innovation attitude
– Ability to propose, scope and carry out the work independently
– Strong collaborative skills, professionalism and long term commitment
– A team player in a multidisciplinary environment

Job location