DevOps Platform Engineer
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/Requirements5–8 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
PreferredExperience 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
AGS is an equal opportunity employer
Job SnapshotLocationAtlanta, Georgia
Job TypeExecutive/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 .