AI Infrastructure Engineer - EA Experiences

EA - Electronic Arts

Galway, Ireland

As the AI Infrastructure Engineer, you will design and operate AI-powered, cloud-native infrastructure that is self-monitoring, self-healing, and secure by default. You will lead the implementation of AIOps practices, build infrastructure as software using frameworks like AWS CDK, and establish standards for CI/CD, observability, traceability, and DevSecOps. Working across systems, you will enable reliable event-driven integrations and ensure continuous validation of system health, performance, and security. This is a hands-on leadership role combining deep technical execution with architectural ownership, driving scalable, autonomous, and resilient platform capabilities across the organization.

You will play a key role in transforming our infrastructure from traditional DevOps to AI-driven, autonomous operations. You will define how systems are built, integrated, secured, and operated—enabling teams to move faster while maintaining high reliability, visibility, and control at scale.

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.

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