DevOps Platform Engineer

AGS LLC; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

AGS LLC in Atlanta, GA is seeking a DevOps Platform Engineer to build and maintain the infrastructure that powers AGS's AI program in production. This hands-on role covers cloud infrastructure, CI/CD pipelines, container orchestration, and the agentic AI deployment platform.

The ideal candidate has strong cloud experience, IaC, Docker/Kubernetes, monitoring, security, and scripting skills to ensure reliable, scalable operations for game and AI workloads.

Qualifications

• 58 years of DevOps or platform engineering experience, with ownership of cloud infrastructure.
• Hands-on with Azure and/or AWS in production environments; Azure preferred.
• IaC proficiency with Terraform, Bicep, or Pulumi for reproducible clouds.
• Container orchestration with Docker/Kubernetes and Helm; scalable workloads.
• AI/ML infra experience with LLM apps, vector stores, and model serving APIs.
• CI/CD expertise with GitHub Actions, Azure DevOps, or Jenkins for polyglot stacks.
• Security basics: secrets, IAM, network segmentation, and policy enforcement.
• Scripting in Python and Bash; PowerShell for Windows/Azure.

Responsibilities

• Provision and manage the agentic AI platform infrastructure and API gateways.
• Operate containerized deployments with Docker, Kubernetes, or Azure Container Apps.
• Implement observability with Datadog or Azure Monitor and monitor AI latency.
• Apply infrastructure security controls and secrets management across clouds.
• Support Unity game build pipelines and certification/regulatory requirements.
• Build and maintain CI/CD pipelines for game software, AI models, and apps.
• Create developer-friendly infra to reduce blockers for game developers and engineers.

Skills

DevOps experience

Platform engineering

Cloud infrastructure

Terraform

Bicep

Pulumi

Docker

Kubernetes

Azure Container Apps

CI/CD

GitHub Actions

Azure DevOps

Jenkins

Datadog / monitoring

Azure Monitor

Security basics

Python / Bash scripting

Education

Bachelor's degree in Computer Science or Engineering

Tools

Terraform

Bicep

Pulumi

Docker

Kubernetes

Azure Container Apps

Helm charts

Datadog

Azure Monitor

GitHub Actions

Azure DevOps

Jenkins

Terraform tooling

Job description

Position Title: DevOps Platform Engineer

Description

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

• 58 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

AGS is an equal opportunity employer

Equal Opportunity Employer, including disability/protected veterans

Equal employment opportunity, including veterans and individuals with disabilities.

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