# AI Infrastructure Engineer

**Company**: Electronic Arts
**Location**: Galway, Ireland
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/en_US/careers/JobDetail/AI-Infrastructure-Engineer/214202?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3bbd200b-8ae

## Description

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world.

The AI Infrastructure Engineer will design and operate AI-powered, cloud-native infrastructure that is self-monitoring, self-healing, and secure by default.

Responsibilities:

- Lead the design and implementation of AI-powered DevOps (AIOps) capabilities, including anomaly detection, predictive alerting, and automated remediation

- Build and operate self-monitoring and self-healing systems using event-driven automation

- Architect and implement infrastructure as software using programmable IaC frameworks (AWS CDK preferred)

- Develop reusable infrastructure patterns, shared libraries, and platform standards across teams

- Establish end-to-end observability and traceability across services, pipelines, and data flows

- Design and govern CI/CD pipelines that provision, validate, and deploy infrastructure with embedded security and compliance controls (DevSecOps)

- Define and implement security best practices, including policy enforcement, identity management, and continuous validation of system posture

- Design and support event-driven integration patterns across internal systems, ensuring reliable communication and signal propagation

- Define SLIs/SLOs and lead incident response, postmortems, and continuous reliability improvements

- Mentor engineers and influence architecture decisions across teams

Qualifications:

- 7+ years of experience in DevOps, Site Reliability Engineering (SRE), platform engineering, or systems engineering

- Strong expertise in AWS across compute, storage, networking, and IAM

- Experience designing and operating systems supporting both traditional services and AI/ML workloads

- Advanced experience with Infrastructure as Code, with emphasis on AWS CDK and reusable infrastructure patterns

- Deep experience with observability tools (Datadog, Prometheus, Grafana, OpenTelemetry) and distributed systems debugging

- Strong experience building CI/CD pipelines with integrated infrastructure provisioning, testing, and security controls

- Experience with event-driven architectures (Kafka, SNS/SQS) and system integrations

- Proficiency in Python, Typescript, or similar programming languages

- Strong understanding of security principles, including least privilege, identity controls, and secure system design

Nice to Have:

- Experience with SageMaker, Bedrock and AgentCore, Kubernetes (EKS) and container orchestration at scale

- Experience with Data Lakehouse platforms (e.g., Databricks) and data pipeline integration

- Experience building internal developer platforms or shared infrastructure frameworks

- Experience creating custom CDK constructs or platform tooling

- Familiarity with policy-as-code and continuous compliance frameworks

- Exposure to real-time systems or high-scale consumer platforms

- Background in gaming, media, or large-scale consumer ecosystems

## Skills

### Required
- AWS
- Infrastructure as Code
- CI/CD pipelines
- event-driven architectures
- Python
- Typescript
- security principles

### Nice to have
- SageMaker
- Bedrock
- AgentCore
- Kubernetes
- Data Lakehouse platforms
- Databricks
- policy-as-code

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/en_US/careers/JobDetail/AI-Infrastructure-Engineer/214202?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)