Job Title: DevOps Engineer
Duties: Computational technologies are increasingly a core part of drug discovery and development. We are on a mission to leverage big data, massive computing power, as well as advanced AI algorithms to provide far more therapies at far less cost to society.
Genentech's Early Clinical Development (ECD) department is seeking a DevOps Engineer reporting to the head of AI and Cloud Engineering. The AI & Cloud Engineering (ACE) group provides data and analytics platforms for a wide range of business and research use cases, including operational data, clinical trial data, artificial intelligence, and business applications.
The Devops Engineer will primarily be responsible for the design and architecture supporting software development solutions and operational support of the deployed solutions. Will be critical to partner with Roche global infrastructure stakeholders to ensure there is a significant contribution to the advancement of Genentech's drug development pipeline.
Duties: ? Ensuring availability, performance, security, and scalability of AWS production systems. ? System troubleshooting and problem resolution across various application domains and platforms including integrations of data center systems. ? Integrate AWS services with enterprise tooling that enable monitoring, alerting, and retention of critical event information. ? Monitoring, triaging and responding to alerts from systems for detected operational issues. ? Creation of documentation for existing automation, systems, processes and services. ? Proactive team member of an agile team
Skills: Minimum 5 years of professional experience in building and operating software on AWS ? Experience with building and/or deploying custom complex solutions with both API based and event/stream based integrations ? Experience with deployment, automation, management, and maintenance of AWS cloud-based systems and services.
? Experience with AWS services such as auto-scaling, cloudwatch, load balancers, gateways, endpoints and proxying technologies.
? Experience with deployment of systems for metrics, logging, and monitoring on AWS platform.
? Expertise with bash scripting, high level programming languages like Python and automation tools such as Terraform, Ansible or similar.
? Hands on experience with K8S (EKS, ECS or custom deployments on cloud infrastructure) ? Excellent communication, advanced English reading, writing, listening and speaking skills.