Senior Infrastructure Engineer, Deep Genomics

• 5+ years of experience working as an Infrastructure Engineer, DevOps/MLOps Engineer, or SRE
• Proficient in architecting and managing infrastructure using Infrastructure as Code tools (e.g. Terraform and Helm)
• Deep expertise in containerization and orchestration technologies like Docker and Kubernetes
• Strong understanding of identity management and security best practices
• Extensive experience designing, implementing, and maintaining CI/CD pipelines (e.g. CircleCI)
• Demonstrated experience with mentoring and elevating other team members' skills to adhere to engineering and DevOps best practices

Desirable

• As a Senior Infrastructure Engineer, you will play a key role in building, scaling, and optimizing the infrastructure and tooling that empowers our diverse scientific and engineering teams. You will enable seamless development of our sophisticated ML models, software applications, and data pipelines. Through close collaboration with teams across engineering, machine learning, and biology, you’ll help push the boundaries of drug discovery through thoughtfully engineered systems
• Manage infrastructure for software, data, and ML platforms, both in the cloud and our on-premises GPU clusters
• Design and implement integrations between infrastructure components (containing internal and 3rd party systems) to ensure seamless flow of data in a robust, reliable, and secure manner
• Streamline and/or automate operational tasks such as infrastructure provisioning, configuration management, and application deployment
• Implement and manage robust monitoring, logging, and alerting for key infrastructure components
• Collaborate closely with engineers, scientists, security, and compliance teams to implement and promote DevSecOps principles across the organization