Advanced AI Storage Systems Engineer

3 days ago

London, Greater London, United Kingdom Recursion Full time
Job Description

We are seeking a Senior AI/HPC Storage Engineer to join our innovative team at Recursion.

The Impact You'll Make

In this role, you will be instrumental in designing, implementing, and managing advanced AI/HPC data systems that propel our groundbreaking drug discovery research.

You will leverage your expertise in infrastructure solutions for Science to ensure the performance, scalability, and reliability of our storage systems. Your work will involve creating and maintaining robust infrastructure, automating processes, and optimizing storage systems to handle massive amounts of data and complex computational workloads, while ensuring high data integrity.

  • You will be responsible for designing, implementing, testing, maintaining, and optimizing our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments.
  • Your leadership and technical expertise will be key in driving innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission.
  • By developing scripts and workflows, you will automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments.
  • Your meticulous attention to detail will be crucial for performance analysis, benchmarking, troubleshooting, and fine-tuning of our data storage systems and services, while efficiently managing user tickets.
  • Your role also includes researching, deploying, and optimizing accessibility, performance, security, and data lifecycle management policies.
  • Regular assessments of our storage platforms' health and operational performance against established metrics will be part of your responsibilities, with a focus on meeting and exceeding operational service level objectives.

The Team You'll Join

As a Senior AI/HPC Storage Engineer, you will be a part of our dedicated HPC Engineering and Operations team, reporting directly to the Director. This dynamic team includes 3 experienced Engineers, and with the addition of this role, 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 Scientific Infrastructure projects. These range from developing advanced, scalable infrastructure to deploying and managing AI/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 Experience You'll Need

A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations. In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols. Experience with RDMA-capable high-speed networking. Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments. Python programming and Bash scripting experience. Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others. Prior experience mentoring, guiding, and cross-training team members.

How You'll be Supported

The Onboarding process will include peer knowledge transfer sessions, introductions to key stakeholders, and comprehensive exposure to our company culture and processes. If you're keen to hone your leadership skills, you'll have the option to participate in our coaching sessions like BetterUp. To ensure you're always at the forefront of your field, we offer the opportunity to attend conferences.

Salary: $170,000 - $220,000 per year

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