Job DescriptionJob OverviewThe 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. Job Snapshot - Location:
Atlanta, Georgia
Duluth, Georgia - Job Type:
Executive/HR/IT - Date Posted:
07/20/2026
Job DescriptionJob OverviewThe 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. Job Snapshot - Location:
Atlanta, Georgia
Duluth, Georgia - Job Type:
Executive/HR/IT - Date Posted:
07/20/2026
