Platform Engineer Jobs in Georgia
Platform Engineer jobs in Georgia are in strong demand, with active hiring concentrated in cloud infrastructure, DevOps, and enterprise platform modernization across financial services, technology, logistics, and healthcare sectors, covering roles from entry-level site reliability to senior infrastructure architect. Atlanta leads hiring volume by a wide margin, with Alpharetta and Savannah also drawing consistent openings, and major employers such as NCR Voyix, Delta Air Lines, and Equifax maintaining deep engineering footprints in the state. The most sought-after specialties in Georgia listings include Kubernetes and container orchestration, CI/CD pipeline development, and multi-cloud architecture on AWS and Azure. Find a role that fits below and apply directly.
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Job Description
Ready to take your career global?
Make your mark at one of the biggest names in payments. We’re looking for an AI Platform Engineer to join our ever evolving Data & AI team and help shape the future of global commerce. You’ll build and evolve the secure, scalable AI platform capabilities that enable data scientists, machine learning engineers and application teams to move AI solutions from experimentation to production with confidence. From model deployment and observability to automation, generative AI workflows and cost optimization, your work will directly influence how quickly and reliably Global Payments can turn AI innovation into real business and client impact. You’ll have the opportunity to shape how AI is engineered and scaled across a global organization while helping build the technology foundation for the future of payments.
What you’ll own
- Build and evolve scalable AI platform capabilities that enable teams to train, deploy, monitor and scale artificial intelligence and machine learning solutions reliably, securely and efficiently.
- Accelerate AI delivery from experimentation to production by creating automated model deployment, data and feature pipelines, evaluation workflows and continuous integration and continuous delivery (CI/CD) capabilities that improve speed, consistency and quality.
- Strengthen the reliability of production AI through robust observability, model monitoring, logging and evaluation capabilities that help teams identify issues faster, maintain performance and confidently operate AI at scale.
- Shape the foundation for generative AI innovation by advancing model serving, application programming interfaces (APIs), prompt and Retrieval-Augmented Generation (RAG) workflows and vector infrastructure that enable teams to build new AI-powered experiences.
- Optimize the performance and economics of AI at scale by influencing platform architecture, cloud infrastructure and engineering standards that improve efficiency, security, resilience and cost effectiveness.
What you’ll bring
- 4 to 8 years of hands-on experience building, automating, deploying or operating AI and machine learning platforms, with demonstrated success supporting production environments.
- Strong engineering capabilities with Python, Structured Query Language (SQL), cloud services, Docker, Kubernetes, CI/CD and infrastructure as code, using technologies such as Terraform or equivalent solutions.
- Proven experience with machine learning operations (MLOps), large language model operations (LLMOps), model lifecycle tooling such as MLflow, model serving, APIs, monitoring, logging and production troubleshooting.
- Experience designing and operating data pipelines, distributed processing and scalable cloud-based architectures, with the judgment to solve complex technical challenges and improve platform reliability.
- A relevant degree in quantitative analytics, statistics, mathematics, data science or a related discipline, combined with a collaborative and innovative mindset and the ability to influence technical decisions across teams.
It’s a bonus if you have
- Experience with product analytics and using data and insights to influence product or platform decisions.
- A master’s degree in quantitative analytics, statistics, mathematics, data science or a related discipline.
- Experience with analytics, distributed data or visualization technologies such as Spark, Hadoop, Power BI, Tableau or similar platforms.
About the team
Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.
Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
EEOC Statement
Global Payments is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.
Washington Candidates: Click here for information on the Fair Chance Act.
Job Description
Ready to take your career global?
Make your mark at one of the biggest names in payments. We’re looking for an AI Platform Engineer to join our ever evolving Data & AI team and help shape the future of global commerce. You’ll build and evolve the secure, scalable AI platform capabilities that enable data scientists, machine learning engineers and application teams to move AI solutions from experimentation to production with confidence. From model deployment and observability to automation, generative AI workflows and cost optimization, your work will directly influence how quickly and reliably Global Payments can turn AI innovation into real business and client impact. You’ll have the opportunity to shape how AI is engineered and scaled across a global organization while helping build the technology foundation for the future of payments.
What you’ll own
- Build and evolve scalable AI platform capabilities that enable teams to train, deploy, monitor and scale artificial intelligence and machine learning solutions reliably, securely and efficiently.
- Accelerate AI delivery from experimentation to production by creating automated model deployment, data and feature pipelines, evaluation workflows and continuous integration and continuous delivery (CI/CD) capabilities that improve speed, consistency and quality.
- Strengthen the reliability of production AI through robust observability, model monitoring, logging and evaluation capabilities that help teams identify issues faster, maintain performance and confidently operate AI at scale.
- Shape the foundation for generative AI innovation by advancing model serving, application programming interfaces (APIs), prompt and Retrieval-Augmented Generation (RAG) workflows and vector infrastructure that enable teams to build new AI-powered experiences.
- Optimize the performance and economics of AI at scale by influencing platform architecture, cloud infrastructure and engineering standards that improve efficiency, security, resilience and cost effectiveness.
What you’ll bring
- 4 to 8 years of hands-on experience building, automating, deploying or operating AI and machine learning platforms, with demonstrated success supporting production environments.
- Strong engineering capabilities with Python, Structured Query Language (SQL), cloud services, Docker, Kubernetes, CI/CD and infrastructure as code, using technologies such as Terraform or equivalent solutions.
- Proven experience with machine learning operations (MLOps), large language model operations (LLMOps), model lifecycle tooling such as MLflow, model serving, APIs, monitoring, logging and production troubleshooting.
- Experience designing and operating data pipelines, distributed processing and scalable cloud-based architectures, with the judgment to solve complex technical challenges and improve platform reliability.
- A relevant degree in quantitative analytics, statistics, mathematics, data science or a related discipline, combined with a collaborative and innovative mindset and the ability to influence technical decisions across teams.
It’s a bonus if you have
- Experience with product analytics and using data and insights to influence product or platform decisions.
- A master’s degree in quantitative analytics, statistics, mathematics, data science or a related discipline.
- Experience with analytics, distributed data or visualization technologies such as Spark, Hadoop, Power BI, Tableau or similar platforms.
About the team
Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.
Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
EEOC Statement
Global Payments is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.
Washington Candidates: Click here for information on the Fair Chance Act.
See All 53 Platform Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find Platform Engineer JobsPlatform Engineer Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Platform Engineer Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Insurance
- Accounting & Auditing
- Banking & Financial Services
What Georgia Employers Look For
The qualifications that appear most often in platform engineer jobs across Georgia.
- Bachelor's degree in computer science, information systems, or a related engineering field
- Hands-on experience with Kubernetes, Docker, or similar container orchestration platforms
- Proficiency building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab, or GitHub Actions
- Experience with cloud platforms including AWS, Azure, or Google Cloud in a production environment
- Strong scripting or automation skills in Python, Bash, or Go for infrastructure tooling
- Familiarity with infrastructure-as-code tools such as Terraform or Ansible in enterprise environments
Platform Engineer Jobs in Georgia: Frequently Asked Questions
How do you become a platform engineer in Georgia?
There is no state-issued license required to work as a platform engineer in Georgia. Most employers look for a bachelor's degree in computer science, software engineering, or information systems, combined with demonstrated hands-on experience in cloud infrastructure or DevOps tooling. Certifications from AWS, Google Cloud, or the Cloud Native Computing Foundation carry real weight with Georgia hiring managers and can substitute for formal experience at the entry level.
Which companies hire platform engineers in Georgia?
Employers hiring platform engineers in Georgia right now include EY, Intercontinental Exchange, and Capgemini, based on current listings on Migrate Mate as of November 2026. Georgia's concentration of financial technology firms, Fortune 500 headquarters, and logistics companies in the Atlanta metro means platform engineering demand is spread across multiple industries rather than confined to pure tech.
Which Georgia cities have the most platform engineer jobs?
Atlanta, Alpharetta, and Georgia have the most platform engineer openings in Georgia. Atlanta dominates due to its density of corporate headquarters, fintech firms, and large enterprise technology operations, while Alpharetta's technology corridor attracts cybersecurity and SaaS companies that rely heavily on cloud platform teams, and Savannah's growing logistics and port-technology sector is generating consistent infrastructure hiring.
Are there remote platform engineer jobs in Georgia?
Yes, and more than most fields. About 72% of platform engineer openings tied to Georgia are remote or hybrid as of November 2026, reflecting how naturally the work fits distributed teams. Roles focused on cloud architecture design, pipeline automation, and infrastructure-as-code tend to be the most fully remote, while positions requiring hands-on data center work or close collaboration with on-site security teams are more likely to require in-person presence.
How can I get hired as a platform engineer in Georgia with little or no experience?
The most realistic entry path is through a junior DevOps or cloud operations associate role, which Georgia employers such as NCR Voyix, Equifax, and major Atlanta-area managed service providers regularly post for candidates without deep experience. A Google Cloud or AWS Cloud Practitioner certification combined with a GitHub portfolio showing Terraform configurations or Docker deployments gives candidates a concrete edge. Lateral moves from systems administrator, network engineer, or IT operations roles are common and well-recognized entry points in Georgia's enterprise hiring market.
Where can I find and apply to platform engineer jobs in Georgia?
You can find and apply to platform engineer jobs in Georgia on Migrate Mate, which lists current Georgia openings across Atlanta, Alpharetta, Savannah, and beyond. Find roles that fit your experience and specialty and apply directly to each one.
See All 53 Platform Engineer Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
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