Senior Platform Engineer, Basecamp Research

• Experience working with Deep Learning workloads, training models, serving models through inference platforms and optimising hardware and systems for models
• Fluency of at least one coding language (Python, Go or similar) with experience of building and deploying applications on top of Kubernetes
• Passion for automating manual and repetitive tasks (configuration, patching, etc.) using Terraform, Ansible or similar
• Curiosity about biotechnology and working with enormous biological datasets and systems
• Ability to work across the stack to troubleshoot and diagnose problems (from application logs down to TCP/IP)
• Deep knowledge of Linux and container based systems and how they work (namespaces, CNI, networking etc.)
• Experience operating clusters of NVIDIA GPUs and complex networking configurations (IB, High-speed fabrics, multiple CNIs etc.)
• At least 4 years of experience in industry working with the above tools and technologies

Desirable

• We are looking for an experienced Platform Engineer to join the team
• As a Senior Platform Engineer, you’ll own our hybrid Kubernetes fleet (on-prem + AWS) and build the self-service infrastructure that empowers biologists and ML engineers to work more effectively
• You’ll report to the Platform Engineering Lead, drive security and reliability improvements, and architect new tooling to streamline operations
• You will be working alongside leading data scientists, bioinformaticians, and ML scientists, to build the largest and most diverse metagenomic dataset known to the industry
• You will be instrumental in building and scaling our infrastructure to leverage our data asset for next generation therapeutics, deep learning models, and some of the industries toughest biotechnology challenges
• Own and operate our on-premise and cloud environments, in particular our Kubernetes clusters (security, monitoring, upgrades and automation)