• We are seeking a passionate HPC engineer.

• The ideal candidate will have extensive hands-on experience making an impact with HPC technology, delivering HPC services to a high quality, and able to relate to the scientific community and work closely with users to make the best use of research computing services.

• The HPC landscape is continually evolving. You will need the skills to help build and operate industry-leading capabilities, including application build frameworks, containerised applications and cloud software-as-a-service. Automated deployment is a key feature and you will need to be comfortable with DevOps processes and delivering consistency through automation and infrastructure-as-code.

Key Accountabilities:

• Develop, deliver and operate research computing services and applications.

• Take a Site Reliability Engineering approach to HPC services, managing the development deployment, monitoring and incident response end-to-end.

• Solve complex technical problems, both with SCP services and the user’s use of them.

Essential Knowledge, Skills, and Experience:

• 10+ years of hands-on experience operating, crafting or engineering large-scale computing environments, such as HPC, HTC or BC

• Drive innovative computational solutions and exploit emerging technologies

• Experience of administration of large-scale cluster and server computing and related software (e.g. Slurm, LSF, Grid Engine)

• Hands-on experience working in a DevOps team and using agile methodologies

• Operating and consuming virtualized private cloud resources (e.g. OpenStack)

• Understanding of Linux system administration, the TCP/IP stack, and storage subsystems

• Experience in implementing and administering large-scale parallel filesystems (e.g. Weka, GPFS, Lustre)

• Proven experience of using configuration management (e.g. ansible, salt, puppet) and technology frameworks in IT operations

• Experience of developing and managing relationships with 3rd party suppliers

• Scripting and tool development for HPC & DevOps style platform operations using bash and Python

Desirable Skills and Knowledge:

• Scientific degree, and/or experience in computationally intensive analysis of scientific data

• Previous experience in high performance computing (HPC) environments, especially at large scales (>10,000 cores)

• Operation and configuration of public cloud computing infrastructure (e.g. AWS, Azure, GCP) is a plus

• Managing a virtualized private cloud environment (e.g. OpenStack) is a plus

• Container technology (e.g. LXD, Singularity, Docker, Kubernetes) is a plus

• Demonstrated development experience with a variety of programming languages, tools, and technologies (Java/C++, Python/Ruby/Perl, SQL, AWS) is a plus

• Experience with Hashicorp tools like terraform, vault, consul and nomad is a plus

• Working experience with high-speed networks (e.g. InfiniBand)