Role Description 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 workplace (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)

📌 HPC Infrastructure Engineer (Chennai)
🏢 Virtusa
📍 Chennai