DevOps Platform Engineer

The Dev Ops / 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 Dev Ops Engineer is a prerequisite for the AI program — without reliable infrastructure, no agent or model can be deployed to production.

• 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

• 5–8 years of Dev Ops 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 — Git Hub Actions, Azure Dev Ops, 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;
  Power Shell for Windows/Azure
  environments
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

• 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

AGS is an equal opportunity employer

Atlanta,Georgia

Executive/HR/IT

07/20/2026

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.

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