Systems Engineer, Server, Cloud & 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

Systems Engineer, Server, Cloud & Data Infrastructure — Large-Scale Computing for Drug Discovery and Machine Learning Research

Pittsburgh, PA · Hybrid (three days per week on site, two days optional remote)

The Opportunity

Research computing at this scale means keeping storage measured in tens of petabytes, GPU clusters numbering hundreds of GPUs, and Linux clusters with CPU core counts from the low thousands into the tens of thousands reliable, fast, and secure, while making all of it easy for drug discovery and machine learning researchers, and the AI agents working alongside them, to use. The hire will build and run the infrastructure, software, and networks behind that work, and their decisions will determine how dependably researchers can put that capacity to use.

The client is a New York–based research company in computational biochemistry and drug discovery, with openings at its New York City offices and at its data centers in Pittsburgh, PA and Durham, NC. This posting is for the Pittsburgh, PA site. StaffRight Associates is recruiting for this opportunity and the company is filling more than one position.

The Research Environment

The client pairs specialized computing hardware it designed in-house with high-performance commodity systems, machine learning, and other computational methods to model molecular behavior at the atomic level and design highly selective drug candidates. That work spans in-house programs and drug discovery efforts run with outside partners, and the infrastructure serves both human researchers and AI agents.

What You'll Do

• 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.

What You Bring

• Strong grounding in Linux fundamentals, including File Systems, Networking, and Processes, plus hands-on Linux Systems Administration experience.
• Expertise in any of the following is relevant: Large-Installation Systems Administration, HPC Systems Engineering, Python programming and scripting 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 more heavily than depth in any single area above.
• Ability to explain technical reasoning to experts and non-specialists alike.
• Candidates at all experience levels are welcome to apply.

Paths Into This Role

Candidates whose graduate or doctoral work centered on high-performance or distributed computing, operating systems, computer networking, or large-scale scientific computing in fields such as Computational Physics or Computational Chemistry will find that training maps closely onto this work.

Compensation & Total Rewards

• Expected annual base salary: $250,000–$800,000, set according to factors such as experience, education, and location.
• Sign-on and year-end bonuses as variable pay.
• A generous benefits package with relocation support.