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Infrastructure Staffing Jobs in Decatur, GA (NOW HIRING)

DataBank

Critical Infrastructure Engineer

Atlanta, GA · On-site

$115K - $120K/yr

As a Critical Infrastructure Engineer, you will play a pivotal part in ensuring 100% uptime and ... Supervise and mentor facility operations staff; foster a culture of operational excellence and ...

Databank

Critical Infrastructure Engineer

Atlanta, GA

$115K - $120K/yr

As a Critical Infrastructure Engineer, you will play a pivotal part in ensuring 100% uptime and ... Supervise and mentor facility operations staff; foster a culture of operational excellence and ...

DataBank

Chief Critical Infrastructure Engineer

Atlanta, GA · On-site

$103.40K - $135.60K/yr

Supervise, mentor, and develop engineering and facility staff, fostering a culture of ... infrastructure management, or related mission-critical environments. * Proven leadership and ...

Serco

Experienced Infrastructure Engineer

Atlanta, GA · Remote

$103.40K - $135.60K/yr

Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, Pulumi, or ... Serco does not accept unsolicited resumes through or from search firms or staffing agencies without ...

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How much do infrastructure staffing jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for infrastructure staffing in Decatur, GA is $27.35, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $29.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Infrastructure Staffing, and why are they important?

To thrive in Infrastructure Staffing, you need a deep understanding of technical infrastructure roles, recruiting principles, and talent acquisition strategies, often supported by a bachelor's degree in human resources, business, or a related field. Familiarity with applicant tracking systems (ATS), sourcing platforms like LinkedIn Recruiter, and knowledge of compliance regulations are typically required. Strong interpersonal, negotiation, and organizational skills help build lasting relationships with clients and candidates. These abilities ensure the efficient placement of qualified professionals, meeting organizational infrastructure needs and project deadlines.

What are some common challenges faced by professionals working in Infrastructure Staffing, and how can they effectively address them?

Professionals in Infrastructure Staffing often face challenges such as sourcing candidates with highly specialized technical skills, managing urgent project timelines, and adapting to rapid changes in technology. To address these challenges, it's important to build a strong network within the industry, stay updated on emerging skills and certifications, and collaborate closely with hiring managers to understand project needs. Leveraging advanced recruitment tools and maintaining clear communication with both clients and candidates can also significantly improve placement success and efficiency.

What is infrastructure staffing?

Infrastructure staffing refers to the process of recruiting, hiring, and managing personnel who are responsible for building, maintaining, and supporting an organization’s physical and IT infrastructure. This can include roles such as network engineers, system administrators, data center technicians, and other specialists who ensure that essential systems operate smoothly. Infrastructure staffing agencies or departments help companies quickly find qualified candidates for both temporary and permanent positions, often for large-scale projects or ongoing maintenance needs.

What is the difference between Infrastructure Staffing vs Network Technician?

AspectInfrastructure StaffingNetwork Technician
CredentialsVaries; often includes certifications like CompTIA, Cisco, or MicrosoftTypically requires CompTIA Network+, Cisco CCNA, or similar
Work EnvironmentProject-based, staffing agencies, consulting firmsIn-house or service provider network teams
Employer & Industry UsageStaffing agencies, consulting firms, large corporationsTelecom, IT services, corporate IT departments
Common Search & ComparisonOften compared for staffing solutions and project rolesCompared for technical network support roles

While Infrastructure Staffing involves providing temporary or project-based IT personnel to support infrastructure projects, Network Technicians focus on maintaining and troubleshooting network systems. Both roles require relevant certifications and work in similar environments, but Infrastructure Staffing emphasizes staffing solutions, whereas Network Technicians are more hands-on technical staff.

What job categories do people searching Infrastructure Staffing jobs in Decatur, GA look for? The top searched job categories for Infrastructure Staffing jobs in Decatur, GA are:
Infrastructure Staffing jobs near you
AI/ML Ops & Infrastructure Engineer - Q126

AI/ML Ops & Infrastructure Engineer - Q126

R2 Technologies

Alpharetta, GA • On-site, Remote

$105K - $137.70K/yr

Other

Posted 17 days ago

Job description

Overview:
Job Title: AI/ML Ops & Infrastructure Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The shift from classical Machine Learning to Generative AI requires a new breed of infrastructure engineering. R2 Technologies is looking for an AI/ML Ops & Infrastructure Engineer to build and manage the operational backbone for our advanced LLM and agentic systems. You will transition beyond basic CI/CD to implement full-lifecycle LLMOps-managing foundation models, fine-tuned adapters, routing logic, and guardrails. Your work will ensure that our AI solutions, including SmartEnt, run with high performance, optimal GPU utilization, and rigorous compliance.
Key Responsibilities: * Design and maintain highly scalable LLMOps pipelines for continuous integration, evaluation, and deployment of machine learning models and AI agents.
  • Deploy and manage containerized AI applications and model inference servers (e.g., vLLM, Ray Serve, NVIDIA Triton) on Kubernetes across multi-cloud environments (AWS, GCP, Azure).
  • Implement comprehensive observability and trace-level logging for multi-step agentic workflows using platforms like LangSmith, W&B Weave, or MLflow.
  • Automate infrastructure provisioning and monitoring using tools like Terraform and agent-driven workflows (e.g., n8n, GitHub Actions).
  • Optimize GPU computing costs, latency, and token usage for high-traffic AI inference endpoints.
  • Enforce security guardrails, toxic output filtering, and robust access policies within the AI deployment infrastructure.
  • Actively utilize AI-assisted coding tools (Copilot, Cursor) to automate infrastructure-as-code (IaC) and streamline Kubernetes management.
Qualifications: * Up to 3 years of hands-on experience in MLOps, DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure.
  • Strong proficiency in containerization and orchestration (Docker, Kubernetes).
  • Experience with ML/LLM operational platforms (MLflow, Weights & Biases, Databricks Mosaic AI, or SageMaker).
  • Familiarity with serving open-source or fine-tuned LLMs and optimizing inference performance.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Scripting/programming skills in Python and bash, along with experience in CI/CD automation.
  • Passion for the evolving landscape of AI infrastructure, cost-optimization (FinOps), and system reliability.

Skills:
Nvidia,Infrastructure

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