DevOps Platform Engineer

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