Senior​/DevOps HPC Engineer

Overview

Recursion is revolutionizing the field of drug discovery by integrating Science and Machine Learning, and we are looking for a Senior/Staff Dev Ops HPC Engineer to join our pioneering team.

You will play a crucial role in developing and maintaining our HPC systems that power our cutting‑edge drug discovery research. You will be responsible for designing, implementing, and managing the infrastructure that supports our machine learning and scientific computing workloads.

Your day‑to‑day tasks will include building robust and scalable infrastructure, deploying and managing HPC resources, and automating operational processes. You'll apply your deep understanding of Dev Ops principles and HPC systems to solve complex computational challenges. This means you'll be actively involved in executing high‑level computational strategies, tracking crucial processing information, and ensuring high data integrity.

Furthermore, you will collaborate with a diverse team of scientists, machine learning experts, and other engineers to develop a world‑class data platform that facilitates the generation and management of petabytes of data, enabling the rapid deployment of new deep learning models into the production data pipeline.

Your contributions will directly impact the efficiency and effectiveness of our drug discovery efforts. You can expect to work on multiple projects at the same time in a fast‑paced and stimulating environment.

Your responsibilities will not just be limited to maintaining systems and infrastructure, but will also include proactive troubleshooting, routine system maintenance, ensuring the security of our computing environment, and creating detailed documentation for all processes and procedures. Join us, and make a significant impact on the future of drug discovery. In this role:

• You’ll design, implement, maintain and optimize our Scientific compute, network, and data storage infrastructure and services using an Infrastructure as Code approach across both on‑premises and public cloud environments.
• Your technical expertise and leadership will drive innovation across all layers of the HPC/AI infrastructure, ensuring that we provide an effective, scalable platform to support our dynamic scientific workloads.
• Through developing scripts and workflows, you'll automate and verify infrastructure provisioning and dynamic reconfiguration, various repetitive tasks, enhancing our support of the HPC environments. Your attention to detail will be critical in performance analysis, benchmarking, and tuning of our systems and applications.
• Your troubleshooting skills will be invaluable as you resolve application, system, and other technical problems, alongside addressing user tickets swiftly.
• Your role involves researching, deploying, and optimizing workloads and resource scheduling, security, and data lifecycle management policies.
• You will be involved in regularly assessing the health and operational performance of the platform against established metrics, with a view to achieving and improving operational service metrics and targets associated with the platform.
• Lastly, as a lead in technical communication and collaboration with our customers, your efforts will ensure a high level of customer satisfaction. It's your opportunity to make a significant impact in our organization and the wider scientific community.

As a Senior/Staff Dev Ops HPC Engineer, you will be a part of our dedicated HPC Engineering team, reporting directly to the Associate Director. This dynamic team includes two experienced Senior Engineers, and with the addition of two new roles, including this position, you'll be part of an empowered, cross‑functional unit. Our HPC team works in a fast‑paced, collaborative environment, handling a broad spectrum of computational projects.

These range from developing advanced, scalable infrastructure to deploying and managing HPC resources and automating operational processes. The team also plays a crucial role in the curation of our vast data platform, which caters to a diverse set of professionals, including biologists, data scientists, and automation engineers.

The HPC team is…