HPC Platform Management Engineer
- Develop and support scalable workload scheduling solutions for HPC environments
- Collaborate with internal teams to adopt and optimize HPC platforms
- Improve the performance, resilience, and observability of compute infrastructure
- Contribute to infrastructure automation and continuous improvement initiatives
- Share expertise and support team development through coaching and collaboration
- Experience of engineering and supporting at least one HPC scheduler, such as YellowDog, Ray, Slurm or IBM Symphony
- Good understanding of both loosely coupled and tightly coupled HPC workloads
- Experience of developing and supporting large-scale systems (5000+ nodes) and high levels of concurrency (100k+ tasks)
- Experience of monitoring and visualisation of large-scale systems
- Performance tuning of compute, network and storage components
- Good understanding of the challenges of user authorisation in large scale distributed environments using AWS IAM and identity providers such as Okta
- Good understanding of core AWS services
- VPC security and networking
- EC2 configuration and scaling
- Storage services S3, EFS, EBS and FSx
- CloudWatch / CloudTrail / OpenSearch / Athena
- Experience of developing Python applications and tools
- Experience with infrastructure-as-code using configuration languages and tools, particularly Terraform and Ansible
- Solid understanding of Linux administration skills
- Good understanding of various storage solutions and their applicability for different use cases
- Able to work in a fast-paced environment with multiple conflicting demands and changing priorities
- Effective communicator, able to describe complex issues at the appropriate level for a given audience
- Happy to coach colleagues and eager to learn from them
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