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Entry Level Site Reliability Engineer Jobs in Georgia

Infosys Limited Digital

Cloud Dev Ops SRE

Atlanta, GA · On-site

Job details Job Role Domain Project Lead 1 Career Role Lead Consultant - US Work Location Atlanta, GA State / Region / Province Georgia Country USA Domain Delivery Interest Group Infosys Limited ...

R2 Technologies Corporation

Sr java Developer

Alpharetta, GA · On-site

$56 - $71.25/hr

... SRE, and Architects to ensure end-to-end system health. Required Skills Expert-level Java with Spring Boot in scalable microservice environments. Proven experience with Kafka, including tuning ...

FanDuel

Senior Observability Engineer

Atlanta, GA · On-site

Solid hands-on experience in observability engineering, SRE, platform engineering, or related roles, with impact across team-level systems. * Strong expertise in monitoring and observability ...

Omaze

Senior Observability Engineer

Atlanta, GA · On-site

$149 - $186/hr

Solid hands‑on experience in observability engineering, SRE, platform engineering, or related roles, with impact across team‑level systems. * Strong expertise in monitoring and observability ...

YKK

SRE 1st Shift MACON [MACON01800WH]

Macon, GA · On-site

$54.50 - $72.50/hr

About YKK Corporation At the YKK Group, we believe in the "Cycle of Goodness" - the idea that "no one prospers without rendering benefit to others." We're committed to creating value for our ...

FanDuel

Senior Observability Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Solid hands-on experience in observability engineering, SRE, platform engineering, or related roles, with impact across team-level systems. * Strong expertise in monitoring and observability ...

FanDuel

Senior Observability Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Solid hands-on experience in observability engineering, SRE, platform engineering, or related roles, with impact across team-level systems. * Strong expertise in monitoring and observability ...

PagerDuty

Senior Developer Advocate

Atlanta, GA · On-site

... SRE, or another technical role accountable to developers. * Demonstrated technical credibility with live demonstrations and real-world execution. * Experience carrying a pager and opinions about ...

FIS

Support Engineer - Enterprise Platforms

Atlanta, GA · Hybrid

$144K - $246K/yr

Observability & AI-Assisted Operations - Use tools such as Prometheus, Grafana, Loki, OpenTelemetry, Datadog, Splunk, or similar to investigate behavior. - Work with the platform's AI-driven SRE ...

Doist

Cloud Automation Engineer

Atlanta, GA · On-site

$120 - $180/hr

Continuously identify opportunities to eliminate repetitive work through scripting, IaC, or AI-assisted tooling What We're Looking For * 4-7+ years in DevOps, SRE, or cloud infrastructure engineering ...

Amicis Global

Unix/Linux L3 Administrator

Alpharetta, GA · On-site

$70 - $80/hr

Providing SRE Support to the Firm's Critical Infrastructure (Oxygen Systems) in a Follow-The-Sun model * Provide rotational On-call support, weekend project work * Proactive health & hygiene tasks to ...

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Entry Level Site Reliability Engineer information

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How much do entry level site reliability engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for entry level site reliability engineer in Georgia is $53.82, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $61.49 per hour, depending on experience, location, and employer.

What is an entry level site reliability engineer?

An Entry Level Site Reliability Engineer (SRE) is responsible for maintaining the reliability, scalability, and performance of software systems. They help bridge the gap between software development and IT operations by automating processes, monitoring system health, and responding to incidents. Entry-level SREs typically work on tasks such as writing scripts, managing cloud infrastructure, and improving deployment pipelines. They collaborate with development and operations teams to ensure systems run efficiently and with minimal downtime. Strong problem-solving skills and a foundational understanding of coding, networking, and cloud services are essential for success in this role.

What are some typical responsibilities I can expect as an entry level site reliability engineer?

As an Entry Level Site Reliability Engineer, you’ll often be responsible for monitoring system performance, responding to incidents, automating operational tasks, and assisting with software deployments. You may also support your team in troubleshooting issues, documenting solutions and procedures, and participating in on-call rotations. Collaboration with software developers, IT support, and other SREs is common to ensure systems are reliable and scalable. Over time, you’ll gain exposure to more advanced tasks like infrastructure improvement projects and building new automation tools, setting a strong foundation for career growth in site reliability engineering.

What are the key skills and qualifications needed to thrive in the entry level site reliability engineer position?

To thrive as an Entry Level Site Reliability Engineer, you need a solid understanding of Linux systems, networking fundamentals, basic programming or scripting (such as Python or Bash), and generally a bachelor's degree in computer science or a related field. Familiarity with cloud platforms (like AWS, GCP, or Azure), configuration management tools (such as Ansible or Terraform), and version control systems (like Git) is commonly expected, while certifications can be a plus. Strong problem-solving skills, attention to detail, excellent communication, and a collaborative mindset will help you stand out in this position. These skills and qualities are vital for maintaining system reliability, quickly resolving incidents, and effectively supporting development teams in a dynamic operations environment.

Are entry level site reliability engineers in demand?

Entry level site reliability engineers are in high demand due to the increasing reliance on cloud infrastructure, automation, and system stability. Employers seek candidates with skills in scripting, monitoring tools, and cloud platforms like AWS or Azure, making this a growing field for new professionals.

How do I get into an Entry Level Site Reliability Engineer?

To become an entry-level Site Reliability Engineer, candidates typically need a bachelor's degree in computer science, engineering, or a related field, along with foundational knowledge of Linux systems, scripting, and cloud platforms like AWS or GCP. Gaining experience through internships, personal projects, or certifications such as the Google Cloud Associate Engineer or AWS Certified Solutions Architect can improve job prospects. Familiarity with monitoring tools, automation, and understanding of system reliability principles are also beneficial for entry-level roles.

What are the most commonly searched types of Site Reliability Engineer jobs in Georgia?

The most popular types of Site Reliability Engineer jobs in Georgia are:

What are popular job titles related to Entry Level Site Reliability Engineer jobs in Georgia?

For Entry Level Site Reliability Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Entry Level Site Reliability Engineer jobs in Georgia look for?

The top searched job categories for Entry Level Site Reliability Engineer jobs in Georgia are:

What cities in Georgia are hiring for Entry Level Site Reliability Engineer jobs?

Cities in Georgia with the most Entry Level Site Reliability Engineer job openings:

Entry Level Site Reliability Engineer jobs near you
Infographic showing various Entry Level Site Reliability Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $111,951 per year, or $53.8 per hour.

AI/ML Ops & Infrastructure Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

$105K - $137K/yr

Full-time

Re-posted 20 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: *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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