Explore 5 devops developer jobs from 2 hiring companies in Plains, GA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Devops Developer Jobs

Global Payments

Syms Strategic Group

Hybrid

Remote

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services.  Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results.  We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions.  Join our dynamic team and make your mark on the payments technology landscape of tomorrow.  At this time, we are unable to offer visa sponsorship for this position. Candidates must be legally authorized to work in the United States (or applicable country) on a full-time basis without the need for current or future immigration sponsorship. Please note, we are not accepting candidates on H1B or OPT statusOVERVIEWWe are looking for an experienced DevOps Engineer to support our AI and ML initiatives, including GenAI platform development, deployment automation, and infrastructure optimization. You will play a critical role in building and maintaining scalable, secure, and observable systems that power scalable RAG solutions, model training platforms, and agentic AI workflows across the enterprise.  RESPONSIBILITIES<ul><li>Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails).</li><li>Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-.</li><li>Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute.</li><li>Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform. MongoDB Atlas, etc).</li><li>Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings).</li><li>Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production.</li><li>Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines.</li><li>Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.).</li></ul>Must Haves:<ul><li>6&#43; years of DevOps or infrastructure engineering experience. Preferably with 2&#43; years in AI/ML environments.</li><li>Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management.</li><li>Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.).</li><li>Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-.</li><li>Experience with monitoring, logging, and alerting systems for AI/ML workloads.</li><li>Deep understanding of Kubernetes and container lifecycle management.</li></ul>Bonus Attributes:<ul><li>Exposure to MLOps tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines.</li><li>Familiarity with prompt engineering, model fine-tuning, and inference serving.</li><li>Experience with secure AI deployment and compliance frameworks </li><li>Knowledge of model versioning, drift detection, and scalable rollback strategies.</li></ul>Abilities:<ul><li>Ability to work with a high level of initiative, accuracy, and attention to detail.</li><li>Ability to prioritize multiple assignments effectively.  Ability to meet established deadlines.</li><li>Ability to successfully, efficiently, and professionally interact with staff and customers.</li><li>Excellent organization skills.</li><li>Critical thinking ability ranging from moderately to highly complex.</li><li>Flexibility in meeting the business needs of the customer and the company.</li><li>Ability to work creatively and independently with latitude and minimal supervision.</li><li>Ability to utilize experience and judgment in accomplishing assigned goals.</li><li>Experience in navigating organizational structure.</li></ul> Position Type and Expected Hours of Work:  Full Time  Disclaimer:The above statement is intended to describe the general nature and level of work being performed.  It is not intended to be an exhaustive list of responsibilities, duties and skills required.Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact <a href="mailto:jobs&#64;globalpay.com" target="_blank">jobs&#64;globalpay.com</a>.

DevOps Engineer (AI/ML)

DevOps Engineer

6+ years DevOps/infrastructure; AI/ML experience; cloud providers AWS/GCP/Azure; GPU workloads; CI/CD; Kubernetes; security; agentic AI tooling.

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services.  Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results.  We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions.  Join our dynamic team and make your mark on the payments technology landscape of tomorrow.  At this time, we are unable to offer visa sponsorship for this position. Candidates must be legally authorized to work for any employer in the United States (or (applicable country) on a full-time basis without the need for current or future immigration sponsorship.Summary <div><div><div><div><div>We are seeking candidates who will embrace our Cyber Security strategy in the design, implementation, and operations of Cloud Security with a focus on Azure. As an Azure Security Engineer, you should be hands-on in all aspects of Azure security including implementing security controls and threat protection, managing identity and access management, implementing security policies, and utilizing Azure technologies.You will serve as part of a larger team within our organization dedicated to providing a flexible and reliable cloud platform, maximizing its benefits while minimizing risks. In this role, you will collaborate closely with product owners and cloud architects to contribute to the development of a secure and robust enterprise-grade cloud platform.We believe in creating a more secure future for our customers through cyber security. Our consultants leverage technologies from trusted partners to help clients manage access to sensitive organizational applications and data. Additionally, we focus on integrating cutting-edge technologies in the cyber security space. Our team is committed to enhancing the security programs of our clients to mitigate risk, reduce intrusion, and secure information. If you&#39;re passionate about a career in cyber security, this opportunity might be right for you.</div></div></div><div><div><div>What will your day look like?Your responsibilities will include implementing security services in cloud-based programs based on pre-defined architectures, managing the security posture, identifying and remediating vulnerabilities, performing threat modelling, implementing threat protection, and responding to security incident escalations.Your day to day tasks will be:<ul><li>Implement, maintain and improve the security posture of the Azure platform, identifying, and remediating vulnerabilities by using a variety of security tools.</li><li>Implement and configure security controls and policies, manage access to data, and monitor threats to ensure that data, apps, containers, infrastructure, and networks are protected.</li><li>Configure access within a cloud solution environment using the defense-in-depth principle</li><li>Configure network security including in a hybrid context with traditional network centric controls</li><li>Implement and use cloud native tools like Log Analytics, Azure Monitor, Azure Security Center and Azure Sentinel</li></ul></div><div></div></div></div><div><h2>Qualifications</h2>Technical Skills<ul><li>Experience in Network Security, Cyber Defense, Vulnerability Management, Security Architecture, and Cloud Environment</li><li>Good understanding of security concepts (Zero Trust Network, CASB, Cloud computing, SIEM solutions, PKI, DevSecOps, IAM and PAM, …).</li><li>Experience with Azure security components, other Cloud Platforms like AWS and Google Cloud is nice-to-have</li><li>Technical skills with Linux and Windows operating systems and scripting languages like Powershell, Python, .Net, ...</li><li>Knowledge of Linux/Unix &amp; Windows OS.</li><li>Good knowledge of HTTP, HTTPS, SSL, and authentication technologies.</li><li>Be a “geek” in one specific technical domain – can be outside of the ones mentioned here above.</li><li>Agile, Scrum, DevSecOps knowledges is an asset</li></ul>Desired/Preferred Certifications<ul><li>Certifications: Azure Security Engineer, CompTIA Security&#43;, or SANS certification are preferred. Also industry certifications are considered as beneficial e.g., CISSP, CSSP, CCSK, GIAC, CEH …</li></ul></div></div><div><div></div></div></div><div><div><div></div><div></div></div></div>Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact <a href="mailto:jobs&#64;globalpay.com" target="_blank">jobs&#64;globalpay.com</a>.

Azure Security DevOps Engineer

Azure security experience, cloud security, IAM, threat protection, vulnerability management, and scripting skills

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services.  Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results.  We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions.  Join our dynamic team and make your mark on the payments technology landscape of tomorrow.  At this time, we are unable to offer visa sponsorship for this position. Candidates must be legally authorized to work for any employer in the United States (or (applicable country) on a full-time basis without the need for current or future immigration sponsorship.OVERVIEWWe are looking for a detail-oriented and technically strong AI Support Engineer to join our AI Operations team. In this critical role, you will be responsible for monitoring, diagnosing, and resolving production incidents across our AI solutions. You’ll work closely with AI engineering, platform, and governance teams to ensure the stability, reliability, and performance of deployed models and agentic solutions across the enterprise. You will join a dynamic team passionate about learning, applying cutting-edge and cost effective technologies, and innovating to deliver high-quality AI solutions.RESPONSIBILITIES<ul><li>Serve as the first line of defense for production AI incidents, ensuring rapid triage, root cause analysis, and resolution.</li><li>Monitor system health and performance of deployed AI applications, agentic and RAG-based solutions, MCPs, and orchestration platforms.</li><li>Track and investigate issues related to latency, failures, model drift, hallucination, prompt misbehavior, or broken integrations, escalating to the AI engineering group where appropriate.</li><li>Collaborate with AI and platform engineers to implement observability, logging, and alerting best practices for all AI services.</li><li>Build diagnostic tools, runbooks, and automated workflows to improve incident response time and reduce manual intervention.</li><li>Maintain knowledge bases and playbooks for repeatable troubleshooting and knowledge transfer.</li><li>Partner with governance and compliance teams to ensure incidents are documented and remediated in line with internal policy.</li><li>Contribute to postmortems and continuous improvement efforts to harden production systems.</li></ul>Must Haves:<ul><li>4&#43; years of experience in production support, software engineering, site reliability engineering (SRE), or DevOps—preferably supporting GenAI and/or ML systems.</li><li>Strong understanding of cloud infrastructure (AWS, GCP) and AI observability tools (e.g., Fiddler AI, Arize AI, IBM WatsonX.governance, etc.).</li><li>Experience with LLM and GenAI systems (OpenAI, Azure OpenAI, Bedrock, Vertex AI, or similar).</li><li>Familiarity with modern orchestration and agentic frameworks such as LangChain, LangGraph, Autogen, or CrewAI.</li><li>Proficiency in Python or shell scripting for automation and troubleshooting.</li><li>Strong analytical, communication, and incident management skills.</li><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>1&#43; years of experience in AI/ML engineering, with a focus on Generative AI.</li><li>Proficiency in programming languages such as Python </li><li>Strong understanding of Generative AI models (e.g., GPT, Transformer architectures) and experience in distilling, tuning and training them.</li><li>Familiarity with Retrieval Augmented Generation (RAG) techniques and their implementation.</li><li>Experience with agentic AI concepts and developing autonomous AI workflows.</li><li>Hands-on experience with GCP Vertex AI, AWS Bedrock &#43; Sagemaker, and Snowflake Cortex  platforms and their AI/ML capabilities.</li><li>Experience building production-grade AI/ML systems at scale.</li><li>Knowledge of MLOps practices, including model deployment and lifecycle management.</li><li>Excellent problem-solving and analytical skills.</li><li>Excellent communication and collaboration skills.</li><li>Availability for on-call rotation and support. </li></ul>Bonus Attributes:<ul><li>Familiarity with Prompt Engineering, RLHF, and model evaluation techniques.</li><li>Understanding of AI governance, safety, and responsible principles.</li><li>Understanding of reinforcement learning and its application in agentic AI.</li><li>Familiarity with big data technologies (Apache Spark, Kafka) </li><li>Experience with CI/CD tools and automation for AI/ML workflows.</li><li>Experience with real-time data processing and streaming analytics.</li></ul>Abilities:<ul><li>Ability to work proactively with a high level of initiative and accuracy.</li><li>Ability to manage multiple assignments effectively and meet established deadlines.</li><li>Strong interpersonal skills to interact professionally with staff and stakeholders.</li><li>Excellent organizational skills and attention to detail.</li><li>Critical thinking ability ranging from moderately to highly complex tasks.</li><li>Flexibility in adapting to changing business needs and priorities.</li><li>Ability to work creatively and independently with minimal supervision.</li><li>Ability to utilize experience and judgment in accomplishing goals.</li><li>Experience in navigating organizational structures and collaborating across teams.</li></ul>Travel Required: &lt;2% Position Type and Expected Hours of Work:  Full Time  Disclaimer:The above statement is intended to describe the general nature and level of work being performed.  It is not intended to be an exhaustive list of responsibilities, duties and skills required.Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact <a href="mailto:jobs&#64;globalpay.com" target="_blank">jobs&#64;globalpay.com</a>.

AI Support Engineer (II+)

AI Support Engineer

4+ years in production support/SRE/DevOps; strong cloud (AWS/GCP); GenAI/LLM experience; Python/shell scripting; knowledge of AI/ML ops; Bachelor's in CS/Engineering; on-call availability.

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services.  Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results.  We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions.  Join our dynamic team and make your mark on the payments technology landscape of tomorrow.  At this time, we are unable to offer visa sponsorship for this position. Candidates must be legally authorized to work for any employer in the United States (or (applicable country) on a full-time basis without the need for current or future immigration sponsorship.RESPONSIBILITIES<ul><li>Serve as the first line of defense for production AI incidents, ensuring rapid triage, root cause analysis, and resolution.</li><li>Monitor system health and performance of deployed AI applications, agentic and RAG-based solutions, MCPs, and orchestration platforms.</li><li>Track and investigate issues related to latency, failures, model drift, hallucination, prompt misbehavior, or broken integrations, escalating to the AI engineering group where appropriate.</li><li>Collaborate with AI and platform engineers to implement observability, logging, and alerting best practices for all AI services.</li><li>Build diagnostic tools, runbooks, and automated workflows to improve incident response time and reduce manual intervention.</li><li>Maintain knowledge bases and playbooks for repeatable troubleshooting and knowledge transfer.</li><li>Partner with governance and compliance teams to ensure incidents are documented and remediated in line with internal policy.</li><li>Contribute to postmortems and continuous improvement efforts to harden production systems.</li></ul>Must Haves:<ul><li>4&#43; years of experience in production support, software engineering, site reliability engineering (SRE), or DevOps—preferably supporting GenAI and/or ML systems.</li><li>Strong understanding of cloud infrastructure (AWS, GCP) and AI observability tools (e.g., Fiddler AI, Arize AI, IBM WatsonX.governance, etc.).</li><li>Experience with LLM and GenAI systems (OpenAI, Azure OpenAI, Bedrock, Vertex AI, or similar).</li><li>Familiarity with modern orchestration and agentic frameworks such as LangChain, LangGraph, Autogen, or CrewAI.</li><li>Proficiency in Python or shell scripting for automation and troubleshooting.</li><li>Strong analytical, communication, and incident management skills.</li><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>1&#43; years of experience in AI/ML engineering, with a focus on Generative AI.</li><li>Proficiency in programming languages such as Python </li><li>Strong understanding of Generative AI models (e.g., GPT, Transformer architectures) and experience in distilling, tuning and training them.</li><li>Familiarity with Retrieval Augmented Generation (RAG) techniques and their implementation.</li><li>Experience with agentic AI concepts and developing autonomous AI workflows.</li><li>Hands-on experience with GCP Vertex AI, AWS Bedrock &#43; Sagemaker, and Snowflake Cortex  platforms and their AI/ML capabilities.</li><li>Experience building production-grade AI/ML systems at scale.</li><li>Knowledge of MLOps practices, including model deployment and lifecycle management.</li><li>Excellent problem-solving and analytical skills.</li><li>Excellent communication and collaboration skills.</li><li>Availability for on-call rotation and support. </li></ul>Bonus Attributes:<ul><li>Familiarity with Prompt Engineering, RLHF, and model evaluation techniques.</li><li>Understanding of AI governance, safety, and responsible principles.</li><li>Understanding of reinforcement learning and its application in agentic AI.</li><li>Familiarity with big data technologies (Apache Spark, Kafka) </li><li>Experience with CI/CD tools and automation for AI/ML workflows.</li><li>Experience with real-time data processing and streaming analytics.</li></ul>Abilities:<ul><li>Ability to work proactively with a high level of initiative and accuracy.</li><li>Ability to manage multiple assignments effectively and meet established deadlines.</li><li>Strong interpersonal skills to interact professionally with staff and stakeholders.</li><li>Excellent organizational skills and attention to detail.</li><li>Critical thinking ability ranging from moderately to highly complex tasks.</li><li>Flexibility in adapting to changing business needs and priorities.</li><li>Ability to work creatively and independently with minimal supervision.</li><li>Ability to utilize experience and judgment in accomplishing goals.</li><li>Experience in navigating organizational structures and collaborating across teams.</li></ul>Travel Required: &lt;2% Position Type and Expected Hours of Work:  Full Time  Disclaimer:The above statement is intended to describe the general nature and level of work being performed.  It is not intended to be an exhaustive list of responsibilities, duties and skills required.Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact <a href="mailto:jobs&#64;globalpay.com" target="_blank">jobs&#64;globalpay.com</a>.

4+ years in production support/SRE/DevOps; 1+ year in AI/ML engineering; strong cloud (AWS, GCP); Python/shell scripting; knowledge of GenAI/LLM; experience with AI observability; BA/BS in CS/Engineering

C#/.Net Developer

5+ years in .Net development; strong C#, REST APIs, MVC, SQL Server, EF; cloud (Azure/AWS); CI/CD; OOP and design patterns; unit testing; DevOps; excellent problem solving and communication.

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