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Data Devops Jobs in Atlanta, GA (NOW HIRING)

DevOps Platform Engineer

Duluth, GA · On-site

$48.50 - $66.50/hr

The DevOps Engineer is a prerequisite for the AI program - without reliable infrastructure, no ... AI engineers, and data engineers so they can ship without infrastructure blockers Skills ...

Senior Data Engineer

Atlanta, GA · On-site

$160K - $170K/yr

Design and implement CI/CD pipelines in Azure DevOps for cloud data platform application and infrastructure. * Assess database performance and modify systems to improve performance. * Work with ...

Senior Data Engineer/Devops

Atlanta, GA · Remote

$100K - $136K/yr

Senior Healthcare Data Engineer Remote TRC Talent Solutions is seeking a Senior Healthcare Data ... data solutions that support operational and clinical objectives * Participate in platform ...

New

Integrate data from vulnerability management, threat intelligence, security operations, cloud, and ... Mentor junior developers and promote engineering best practices. Required Qualifications Experience ...

New

Manager, DevOps

Kennesaw, GA · On-site

$48.75 - $66.75/hr

Manager, DevOps Reports To: Senior Director, Engineering FLSA Status: Exempt Department: IT JOB ... Experience integrating with credit bureaus (Equifax, Experian, TransUnion) or third-party data ...

Devops Engineer

Alpharetta, GA · On-site

$51.50 - $70.50/hr

Title: DevOps Engineer Location: Berkeley Heights, NJ / Alpharetta, GA(5days onsite) Employment ... You will be responsible for ensuring environment parity between the data center and the cloud ...

DevOps Engineer 4

Atlanta, GA · On-site

$50.75 - $69.50/hr

... DevOps Engineer (Level 4) to join our team. This role focuses on designing, deploying, and ... Build and maintain CI/CD pipelines to support ML models, data workflows, and web applications.

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure DevOps, Work Experience: * * More than 10+ years of relevant experience in data engineering tools like Spark, Hadoop, Azure Data pipelines , Azure Data factory, Azure Data Lake Storage ...

DevOps Engineer GCP

Atlanta, GA · On-site

$58 - $60/hr

Collaboration & Automation Collaborate with development and data teams to improve deployment workflows, automate repeatable tasks, and enforce DevOps standards. Required Qualifications: * 9-11 years ...

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and deployment of data engineering assets. Collaborate with reporting and analytics teams to support Power BI ...

Data Engineer - Healthcare

Atlanta, GA · On-site

$110K - $132K/yr

... Azure DevOps CI/CD Pipeline Implementation Preferred Qualifications Experience in Healthcare, Health Insurance, or Life Sciences domain. Exposure to AI/ML data pipelines and MLOps frameworks.

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Data Analytics Engineer

Atlanta, GA · On-site

$50 - $55/hr

Data Governance & DevOps * * Follow Company governance and security standards. * Implement CI/CD practices using GitHub and Azure DevOps. * Maintain documentation, data lineage, and metadata for ...

New

DevOps Engineer

Sandy Springs, GA · On-site

$52.25 - $71.75/hr

DevOps Engineer Location: Atlanta, GA Employment Type: Full-Time About Us: Datavault AI, along with ... Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions ...

Lead DevOps Engineer

Kennesaw, GA · On-site

$48.75 - $66.75/hr

As a Lead DevOps Engineer, you will be responsible for leading the design and implementation of the ... data systems * Strong background in software development, with experience in languages such as ...

Showing results 21-40

Data Devops information

See Atlanta, GA salary details

$15

$58

$82

How much do data devops jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data devops in Atlanta, GA is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $66.83 per hour, depending on experience, location, and employer.

What is a Data DevOps?

Data DevOps professionals are specialists who bridge the gap between data engineering and DevOps practices. They focus on automating, optimizing, and managing data pipelines, infrastructure, and workflows to ensure reliable and scalable data delivery. Their responsibilities often include integrating data tools with CI/CD processes, maintaining data security, and enabling collaboration between data teams and operations. By applying DevOps principles to data platforms, they help organizations deliver data-driven solutions more efficiently and with higher quality.

How does a Data DevOps professional typically collaborate with data engineers and data scientists on projects?

As a Data DevOps professional, you play a crucial role in bridging the gap between data engineering, data science, and operations teams. You’ll work closely with data engineers to automate data pipelines, ensure continuous integration and deployment, and maintain robust data infrastructure. Collaboration with data scientists often involves streamlining model deployment, monitoring data workflows, and troubleshooting issues to ensure that analytical solutions can be quickly and reliably put into production. Strong communication skills and a proactive approach to problem-solving are key for fostering effective teamwork across these disciplines.

What are the key skills and qualifications needed to thrive as a Data DevOps professional, and why are they important?

To thrive as a Data DevOps professional, you need a solid background in data engineering, automation, and cloud infrastructure, often supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, alongside experience with CI/CD pipelines and data pipeline orchestration systems like Airflow. Strong problem-solving skills, collaboration, and effective communication help you bridge the gap between data engineering and operations teams. These skills ensure efficient, reliable, and scalable data systems that support organizational analytics and business goals.

What is the difference between Data Devops vs Data Engineer?

AspectData DevopsData Engineer
CredentialsCertifications in cloud platforms, Devops tools, scriptingData management, SQL, cloud certifications
Work EnvironmentCollaborates with Devops, IT, and data teams; focuses on deployment pipelinesBuilds data pipelines, manages databases, and data architecture
Employer & Industry UsageTech companies, data-driven organizations, cloud providersFinancial, healthcare, tech industries, data-centric firms

Data Devops and Data Engineers share overlapping skills in cloud and scripting but differ in focus. Data Devops emphasizes deployment, automation, and infrastructure for data systems, while Data Engineers concentrate on building and maintaining data pipelines and storage solutions. Both roles are vital in modern data ecosystems, often collaborating to ensure efficient data workflows.

Is data DevOps a high paying job?

Data DevOps roles are generally well-compensated due to their technical complexity and demand for skills in cloud platforms, automation, and scripting. Salaries vary based on experience, location, and certifications, but they tend to be higher than average IT or software development positions.
Infographic showing various Data Devops job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,081 per year, or $58.2 per hour.

DevOps Platform Engineer

AGS

Duluth, GA • On-site

$48.50 - $66.50/hr

Full-time

Posted 17 days ago


Job description


Job Overview
The DevOps / Platform Engineer builds and maintains the technical infrastructure that enables AGS's
entire AI program to run reliably in production. This is a hands-on individual contributor role responsible for cloud infrastructure, CI/CD pipelines, container orchestration, and the agentic AI deployment platform. The DevOps Engineer is a prerequisite for the AI program - without reliable infrastructure, no agent or model can be deployed to production.
Responsibilities
  • Provision and manage the agentic AI platform infrastructure - LLM API gateway, vector
    database (Pinecone/pgvector), container-based agent deployment, and model serving endpoints
  • Container orchestration - manage Docker containers, Kubernetes or Azure Container Apps,
    Helm charts, and health monitoring for all deployed services
  • Implement monitoring and observability - deploy Datadog, Azure Monitor, or equivalent for
    infrastructure health, application performance, AI model latency, and cost tracking
  • Implement security controls at the infrastructure level - secrets management (Azure Key
    Vault), network segmentation, IAM integration, and infrastructure-level security policies
  • Support game build pipelines - understand and support the Unity game build process
    including certification compliance checkpoints and regulatory requirements
  • Build and maintain CI/CD pipelines for game software, AI models, and business applications -
    automated build, test, and deployment without manual intervention
  • Create developer-friendly infrastructure - reduce friction for game developers, AI engineers,
    and data engineers so they can ship without infrastructure blockers

Skills/Requirements
  • 5-8 years of DevOps or platform engineering experience, with demonstrated ownership of
    cloud infrastructure at a company of comparable technical complexity
  • Azure and/or AWS expertise - deep hands-on experience with at least one major cloud
    provider; Azure preferred given AGS's Microsoft ecosystem
  • Infrastructure as code proficiency - Terraform, Bicep, or Pulumi for reproducible, auditable
    cloud environments
  • Container and orchestration experience - Docker, Kubernetes, or Azure Container Apps;
    Helm chart management; experience scaling containerized workloads
  • AI/ML infrastructure experience - has deployed LLM-based applications or ML models to
    production; experience with vector databases, model serving APIs, and LLM cost management
  • CI/CD pipeline expertise - GitHub Actions, Azure DevOps, or Jenkins; has built pipelines for
    polyglot environments (multiple programming languages and frameworks)
  • Security fundamentals - experience implementing secrets management, network security
    groups, and cloud IAM integration
  • Strong scripting skills - Python and Bash for automation; PowerShell for Windows/Azure
    environments
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred
  • Experience with gaming software build pipelines including certification requirements
  • Familiarity with Unity game engine build and deployment processes
  • Experience with remote device management for distributed hardware fleets

Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer
Job Snapshot
  • Location:
    Atlanta, Georgia
    Duluth, Georgia
  • Job Type:
    Executive/HR/IT
  • Date Posted:
    07/20/2026

About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.
Job Snapshot
  • Location:
    Atlanta, Georgia
    Duluth, Georgia
  • Job Type:
    Executive/HR/IT
  • Date Posted:
    07/20/2026

Job Description
Job Overview
The DevOps / Platform Engineer builds and maintains the technical infrastructure that enables AGS's
entire AI program to run reliably in production. This is a hands-on individual contributor role responsible for cloud infrastructure, CI/CD pipelines, container orchestration, and the agentic AI deployment platform. The DevOps Engineer is a prerequisite for the AI program - without reliable infrastructure, no agent or model can be deployed to production.
Responsibilities
  • Provision and manage the agentic AI platform infrastructure - LLM API gateway, vector
    database (Pinecone/pgvector), container-based agent deployment, and model serving endpoints
  • Container orchestration - manage Docker containers, Kubernetes or Azure Container Apps,
    Helm charts, and health monitoring for all deployed services
  • Implement monitoring and observability - deploy Datadog, Azure Monitor, or equivalent for
    infrastructure health, application performance, AI model latency, and cost tracking
  • Implement security controls at the infrastructure level - secrets management (Azure Key
    Vault), network segmentation, IAM integration, and infrastructure-level security policies
  • Support game build pipelines - understand and support the Unity game build process
    including certification compliance checkpoints and regulatory requirements
  • Build and maintain CI/CD pipelines for game software, AI models, and business applications -
    automated build, test, and deployment without manual intervention
  • Create developer-friendly infrastructure - reduce friction for game developers, AI engineers,
    and data engineers so they can ship without infrastructure blockers

Skills/Requirements
  • 5-8 years of DevOps or platform engineering experience, with demonstrated ownership of
    cloud infrastructure at a company of comparable technical complexity
  • Azure and/or AWS expertise - deep hands-on experience with at least one major cloud
    provider; Azure preferred given AGS's Microsoft ecosystem
  • Infrastructure as code proficiency - Terraform, Bicep, or Pulumi for reproducible, auditable
    cloud environments
  • Container and orchestration experience - Docker, Kubernetes, or Azure Container Apps;
    Helm chart management; experience scaling containerized workloads
  • AI/ML infrastructure experience - has deployed LLM-based applications or ML models to
    production; experience with vector databases, model serving APIs, and LLM cost management
  • CI/CD pipeline expertise - GitHub Actions, Azure DevOps, or Jenkins; has built pipelines for
    polyglot environments (multiple programming languages and frameworks)
  • Security fundamentals - experience implementing secrets management, network security
    groups, and cloud IAM integration
  • Strong scripting skills - Python and Bash for automation; PowerShell for Windows/Azure
    environments
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred
  • Experience with gaming software build pipelines including certification requirements
  • Familiarity with Unity game engine build and deployment processes
  • Experience with remote device management for distributed hardware fleets

Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer
About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.