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