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Entry Level Infrastructure Automation Engineer Jobs in Georgia

Senior AI Software Engineer

Atlanta, GA ยท On-site +1

$117K - $155K/yr

Experience with developer tooling or SDLC automation * Experience with Kubernetes, cloud-native platforms, or infrastructure automation * Experience supporting enterprise-scale engineering ...

Senior AI Software Engineer

Atlanta, GA ยท On-site +1

$117K - $155K/yr

Experience with developer tooling or SDLC automation * Experience with Kubernetes, cloud-native platforms, or infrastructure automation * Experience supporting enterprise-scale engineering ...

Cloud Infrastructure SRE - Full Time

Alpharetta, GA ยท On-site

$55.75 - $74/hr

Cloud Infrastructure SRE Location/s: Alpharetta, GA / Berkeley Heights, NJ (Onsite from Day 1) Job ... Develop and implement automation for provisioning, monitoring, scaling, and incident response using ...

Our work includes planning, design, and oversight of construction of environmental infrastructure ... engineering discipline * EIT or ability to obtain within 6 months * Entry Level to 4 years of ...

AUMOVIO star Internship_IT

Roswell, GA ยท On-site

$13.75 - $18.50/hr

Infrastructure Automation & Optimization * Automate IT infrastructure tasks using scripting and RPA ... Programming experience in JavaScript, Python, or similar languages * Fluent in Korean Additional ...

Position Summary The Sales Engineer lives and works in the intersection between sales and ... Strong cloud knowledge, you worked with infrastructure automation such as Terraform * You are able ...

Role Summary The Cloud Engineer will design, operate, and continuously improve Rivian's multi-cloud ... This is a hands-on, operations-focused role that drives infrastructure automation, security ...

Role Summary The Cloud Engineer will design, operate, and continuously improve Rivian's multi-cloud ... This is a hands-on, operations-focused role that drives infrastructure automation, security ...

Cloud Engineer - Cloud Operations

Atlanta, GA ยท On-site

$97K - $122K/yr

Role Summary The Cloud Engineer will design, operate, and continuously improve Rivian's multi-cloud ... This is a hands-on, operations-focused role that drives infrastructure automation, security ...

Position Summary The Sales Engineer lives and works in the intersection between sales and ... Strong cloud knowledge, you worked with infrastructure automation such as Terraform * You are able ...

As a Jr. Critical Infrastructure Engineer, you will play a key role in ensuring 100% uptime of our ... Understanding of building automation systems, energy management, and control systems for mechanical ...

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Entry Level Infrastructure Automation Engineer information

What engineer makes $500,000 a year?

While most entry-level infrastructure automation engineers do not earn that level of salary, highly experienced engineers with specialized skills in cloud platforms, automation tools, and certifications such as AWS or Azure can reach or exceed $500,000 annually, especially in senior or leadership roles in large organizations. Such compensation often includes bonuses, stock options, or profit sharing and typically requires extensive experience and advanced expertise.

How much does an entry level automation engineer make?

An entry-level infrastructure automation engineer typically earns between $60,000 and $80,000 annually, depending on location, company, and skills. Starting salaries may increase with knowledge of automation tools like Ansible, Terraform, or scripting languages such as Python.

What is the difference between Entry Level Infrastructure Automation Engineer vs Network Automation Engineer?

AspectEntry Level Infrastructure Automation EngineerNetwork Automation Engineer
Required CredentialsBasic knowledge of scripting, Linux, and cloud platforms; often a degree in CS or related fieldNetworking certifications (e.g., CCNA), scripting skills, and understanding of network protocols
Work EnvironmentIT infrastructure teams, cloud environments, data centersNetwork operations centers, enterprise network teams
Employer & Industry UsageTech companies, cloud providers, large enterprisesTelecommunications, large enterprises, service providers
Search & Comparison IntentUnderstanding entry-level automation roles in infrastructureComparing network-specific automation roles at entry level

The Entry Level Infrastructure Automation Engineer focuses on automating server, cloud, and data center infrastructure, while the Network Automation Engineer specializes in automating network devices and protocols. Both roles require scripting skills and basic certifications but differ in their focus areas and environments.

Will AI replace automation engineer?

AI is expected to augment the work of infrastructure automation engineers by automating repetitive tasks and improving efficiency. However, automation engineers will continue to be essential for designing, implementing, and maintaining complex systems, as human expertise is needed to interpret AI outputs and handle unique or unforeseen issues.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or infrastructure automation can earn $300,000 or more annually, especially with extensive experience, advanced skills, and certifications. High-paying roles often involve leadership responsibilities, working with cloud platforms, or managing large-scale systems in competitive industries.
What are the most commonly searched types of Infrastructure Automation Engineer jobs in Georgia? The most popular types of Infrastructure Automation Engineer jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Infrastructure Automation Engineer jobs? Cities in Georgia with the most Entry Level Infrastructure Automation Engineer job openings:
Senior AI Software Engineer

Senior AI Software Engineer

Third Eye Software

Atlanta, GA โ€ข On-site, Remote

$117K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago


Job description

We are seeking a Senior AI Software Engineer to help build internal AI agents and AI-enabled engineering tools focused on developer productivity, workflow automation, and large enterprise-scale software delivery.

This is a W2 contract role with mostly remote work and occasional in-office collaboration. Candidates should be Metro Atlanta-based. No sponsorship available. No third-party recruiters.

Role Focus

This is a greenfield initiative that needs a strong problem solver first - someone who can work through ambiguity, anticipate issues, and turn early ideas into practical, scalable engineering solutions.

The ideal candidate has a strong traditional software engineering foundation, clear communication skills, mentoring ability, and hands-on experience with modern AI-enabled development. Initial work will focus heavily on building internal agents and agent-oriented workflows, with broader enterprise context and AI enablement work evolving over time.

This person should understand the full SDLC, enterprise software delivery, CI/CD, and how to build AI capabilities that can move beyond prototype into real use.

Responsibilities
  • Build internal AI agents, agent-oriented workflows, and AI-enabled engineering tools
  • Solve ambiguous technical problems and help determine practical paths forward
  • Design integrations across systems such as Jira, documentation platforms, repositories, APIs, and internal tooling
  • Improve engineering workflows, developer productivity, and SDLC automation
  • Build scalable backend services, APIs, and supporting platform components
  • Anticipate technical and operational challenges as solutions scale across engineering teams
  • Communicate clearly with engineering, product, and platform stakeholders to move ideas from concept into production-ready solutions
  • Provide technical guidance, mentoring, and knowledge sharing as the team builds new AI-enabled capabilities
  • Support practical patterns around observability, reliability, testing, CI/CD, and operational support for AI-enabled systems

Requirements

Qualifications
  • Must be able to work on a W2 basis without sponsorship
  • Metro Atlanta-based
  • Strong problem-solving skills and ability to work through ambiguous or evolving requirements
  • Strong software engineering background with distributed systems and microservices experience
  • Hands-on experience with Python and modern AI development tools such as Claude, Copilot, Cursor, or similar LLM-enabled engineering tools
  • Hands-on experience building AI-enabled workflows, agents, orchestration patterns, enterprise AI integrations, and context-aware AI solutions.
  • Strong understanding of SDLC, CI/CD, production operations, and enterprise software delivery
  • Clear communication skills and ability to collaborate across technical and non-technical teams
  • Experience mentoring or guiding other engineers through design, implementation, or delivery decisions
  • Experience with APIs, cloud platforms, data pipelines, and modern engineering tooling
Preferred
  • Experience with RAG, vector databases, embeddings, or context management patterns
  • Experience with developer tooling or SDLC automation
  • Experience with Kubernetes, cloud-native platforms, or infrastructure automation
  • Experience supporting enterprise-scale engineering organizations

Benefits

  • Comprehensive medical / dental / vision insurance options (50% employer-paid premiums)
  • 401K option (after 1 year of employment)
  • Profit sharing
  • Professional development and training opportunities
  • Employer-provided equipment

Third Eye Software is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by law.