Cloud & HPC Systems Engineer — Data Infrastructure

Life in Pittsburgh; Pittsburgh (Allegheny County); Hybrid; USD 250,000 - 800,000; Full time

Benefits offered by this job

Sign-on bonus

Year-end bonuses

Relocation support

Generous benefits package

Job summary

StaffRight Associates in Pittsburgh, PA is hiring a Systems Engineer, Server, Cloud & Data Infrastructure for large-scale computing in drug discovery and ML research. The role is hybrid (three days on-site, two days optional remote) at the Pittsburgh site to support researchers and AI agents.

You will design, deploy, and operate server, cloud, and data infrastructure, including Kubernetes deployments, massive storage, GPU clusters, and high-performance networks. Open to all experience levels.

Qualifications

• Strong Linux fundamentals, including File Systems, Networking and Processes.
• Hands-on Linux Systems Administration experience.
• Expertise in Large-Installation Systems Administration, HPC Systems Engineering, Python for Distributed Systems, High-Performance Data-Parallel Computing, Systems Software, Software Development, User Support, Kubernetes platform engineering, and Email & Data Retention practices.
• The client weighs versatility, intellectual curiosity, and a record of strong accomplishment.
• Ability to explain technical reasoning to experts and non-specialists alike.
• Candidates at all experience levels are welcome to apply.

Responsibilities

• Architect and operate the client's server, cloud, and data infrastructure, from public cloud deployments to applications running on Kubernetes.
• Manage storage systems holding research data on the order of tens of petabytes.
• Scale and maintain GPU clusters numbering hundreds of GPUs and Linux clusters whose CPU core counts reach into the tens of thousands.
• Sustain specialized, massively parallel custom supercomputing hardware alongside the general-purpose clusters.
• Engineer high-performance RDMA fabrics and the wide-area networks that link sites together.
• Administer identity management infrastructure across the environment.
• Deliver these resources to researchers and AI agents in a way that is both secure and easy to work with.
• Communicate clearly with research users and engineering colleagues about how the systems work and how to use them well.

Skills

Linux fundamentals

Linux systems administration

File systems

Networking

Processes

HPC systems engineering

Python for distributed systems

Kubernetes platform engineering

Email & data retention practices

Tools

Kubernetes

Linux

Public cloud

Job description

StaffRight Associates in Pittsburgh, PA is hiring a Systems Engineer, Server, Cloud & Data Infrastructure for large-scale computing in drug discovery and ML research. The role is hybrid (three days on-site, two days optional remote) at the Pittsburgh site to support researchers and AI agents.

You will design, deploy, and operate server, cloud, and data infrastructure, including Kubernetes deployments, massive storage, GPU clusters, and high-performance networks. Open to all experience levels.