Senior Site Reliability Engineer

CSS; Atlanta (GA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

CSS seeks a Senior Site Reliability Engineer to deploy, validate, and operationalize AI, HPC, Kubernetes, and enterprise infrastructure environments. The role transforms installed hardware into production platforms through automated provisioning, testing, and validation, ensuring readiness for handoff and long-term success.

The candidate will deploy AI/HPC stacks, manage Kubernetes platforms, validate NVIDIA GPU technologies, perform readiness assessments, and develop automation with PowerShell,

Qualifications

• 5+ years of experience in Infrastructure/Platform/SRE roles.
• Experience deploying and validating AI, GPU, HPC, or large-scale enterprise infrastructure environments.
• Strong Kubernetes and Linux administration skills.

Responsibilities

• Provide technical readiness for deployment across customer environments.
• Deploy, configure, and validate AI, GPU, and HPC infrastructure solutions.
• Prepare and administer Kubernetes platforms, container runtimes, storage, networking, and cluster infrastructure.
• Install and validate NVIDIA GPU technologies and drivers.
• Perform infrastructure readiness assessments and validation activities.
• Configure and support server infrastructure (iDRAC, iLO, BMC, firmware).
• Deploy and administer Windows, Linux, VMware ESXi, Hyper‑V, and KVM environments.
• Apply security hardening standards and best practices.
• Develop automation workflows using PowerShell, Python, Bash, and IaC.
• Create deployment documentation and technical reports.
• Troubleshoot hardware, OS, virtualization, containerization, networking, and AI platform issues.
• Engage in ongoing training to stay current with cloud, infrastructure, and AI platforms.
• Collaborate with engineering, architecture, and service delivery teams.

Skills

Kubernetes

Linux Administration

Automation

Python

PowerShell

Bash

IaC

GPU/ NVIDIA CUDA

Networking

VMware ESXi

Hyper-V

KVM

iDRAC/iLO

Education

Associate degree

Bachelor's degree in CS or related field

Tools

NVIDIA GPUs

Docker

Job description

As the Senior Site Reliability Engineer, you will serve as a trusted technical resource responsible for deploying, validating, and operationalizing AI, HPC, Kubernetes, and enterprise infrastructure environments. This role transforms newly installed hardware into production-ready platforms through standardized provisioning, automation, testing, and infrastructure validation activities. Working as part of a holistic team strategy, you will support large, complex customer deployments and ensure infrastructure environments are ready for operational handoff and long-term success.

Responsibilities:

• Provide technical expertise and engagement to support infrastructure readiness, platform engineering, and deployment activities across customer environments.
• Deploy, configure, and validate AI, GPU, and High Performance Computing (HPC) infrastructure solutions.
• Prepare and administer Kubernetes platforms, container runtimes, storage integrations, networking components, and cluster infrastructure.
• Install, configure, and validate NVIDIA technologies including GPU drivers, CUDA, GPU Operators, AI Enterprise prerequisites, and telemetry solutions.
• Validate accelerated networking technologies including InfiniBand, RoCE, RDMA, and GPU‑to‑GPU communications.
• Perform infrastructure readiness assessments, burn‑in testing, operational acceptance testing, and performance validation activities.
• Configure and support server infrastructure including iDRAC, iLO, BMC, firmware, storage, and networking components.
• Deploy and administer Windows, Linux, VMware ESXi, Hyper‑V, and KVM‑based environments.
• Apply security hardening standards, compliance requirements, and operational best practices throughout deployment and validation activities.
• Develop and maintain automation workflows utilizing PowerShell, Python, Bash, and Infrastructure‑as‑Code methodologies.
• Create customer‑facing deployment documentation, technical reports, readiness assessments, and operational validation deliverables.
• Troubleshoot complex hardware, operating system, virtualization, containerization, networking, and AI platform issues.
• Participate in advanced technical training and continued education to maintain expertise in cloud, infrastructure, AI, and platform technologies.
• Support technical engagements across customer environments and collaborate with internal engineering, architecture, and service delivery teams.

Qualifications:

• Associate degree (U.S.)/College Diploma (Canada) or equivalent combination of education and technical experience required.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related technical discipline preferred.
• 5+ years of experience in Infrastructure Engineering, Platform Engineering, Site Reliability Engineering (SRE), Systems Administration, or related technical roles.
• Experience deploying, supporting, or validating AI, GPU, HPC, or large‑scale enterprise infrastructure environments.
• Experience with Kubernetes, container platforms, and enterprise Linux administration.
• Strong knowledge of server provisioning, virtualization, storage, networking, and infrastructure operations.
• Experience with VMware ESXi, Hyper‑V, KVM, or related virtualization technologies.
• Experience developing automation and scripting solutions using PowerShell, Python, Bash, or similar tools.
• Knowledge of Infrastructure‑as‑Code and automated deployment methodologies.
• Experience with NVIDIA GPU technologies, CUDA, AI Enterprise, or related AI infrastructure platforms preferred.
• Knowledge of InfiniBand, RDMA, RoCE, or high‑performance networking technologies preferred.
• Demonstrated troubleshooting, root‑cause analysis, and problem‑solving skills.
• Possess a customer‑centric mindset and strong written and verbal communication skills.
• Possess intermediate computer skills, including proficiency with Microsoft Office applications.
• Ability to travel up to 25%.

Preferred Certifications

• Certified Kubernetes Administrator (CKA)
• Red Hat Certified System Administrator (RHCSA) or equivalent Linux certification
• NVIDIA certifications related to AI, GPU, or DGX platforms
• VMware Certified Professional (VCP) or equivalent

#LI-VR1 #Hybrid