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DevOps Platform Engineer

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: AGS - American Gaming Systems
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Azure, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 130000 - 190000 USD Yearly USD 130000.00 190000.00 YEAR
Job Description & How to Apply Below

The Dev Ops / Platform Engineer builds and maintains the technical infrastructure that enables AGS's entire AI and data 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 — including standing up the Microsoft Fabric data foundation and Azure AI Foundry agent runtime that the rest of the transformation program depends on.

The Dev Ops Engineer is a prerequisite for the AI program: without reliable infrastructure, no agent, model, or migrated dataset can reach production.

Responsibilities
  • Provision and manage the agentic AI platform infrastructure — Azure AI Foundry as the primary agent hosting/runtime environment, Azure AI Search for vector and keyword retrieval, container-based agent deployment, and Azure ML model serving endpoints
  • Build the Microsoft Fabric data foundation — support One Lake, Lakehouse/Warehouse, and medallion (bronze/silver/gold) architecture setup, including wave-based migration of on‑prem, Salesforce, and AWS‑hosted interactive data into Fabric
  • Container orchestration — manage Docker containers, Kubernetes or Azure Container Apps, Azure Container Registry, Helm charts, and health monitoring for all deployed services
  • Implement monitoring and observability — deploy Datadog, Azure Monitor, and Azure ML model monitoring/App Insights for infrastructure health, application performance, AI model latency and drift, and cost tracking
  • Implement security and governance controls at the infrastructure level — secrets management (Azure Key Vault), Entra  (RBAC, managed identities, SSO), network segmentation and private endpoints (VPN/Express Route), and data lineage/governance via Purview
  • 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/agents, and business applications (Git Hub Actions/Azure Dev Ops) — 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 Dev Ops or platform engineering experience
    , with demonstrated ownership of cloud infrastructure at a company of comparable technical complexity
  • Azure expertise (required) — deep hands‑on experience with Azure, AGS's target cloud platform for Fabric and Foundry; AWS familiarity is a plus, since some interactive data currently sits in AWS
  • 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 search (Azure AI Search, Pinecone, or pgvector), 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 (Entra  equivalent) 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
Preferred
  • Experience with Microsoft Fabric (One Lake, Data Factory, Fabric Notebooks) or similar unified analytics platforms
  • Experience supporting MLOps infrastructure (Azure ML, MLflow) for model training, registry, and deployment
  • 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.

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