DevOps Platform Engineer

Job 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

• 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