AI Infrastructure Engineer

Electronic Arts

Hybrid

Quick summary

Work type: Hybrid
Location: Vancouver, British Columbia, Canada
Salary: $122,300–$170,700 / yr
Posted: 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k

This role $146k

$108k most similar roles pay here $259k

This role pays less than 80% of similar roles. Most pay $159,962–$244,300 — the shaded band above. At the midpoint, this role pays about $146k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 75 open roles on FindRole.

Listed pay typically runs $122,300–$184,000 across 41 roles with salary data.

Most-posted roles

View all roles at Electronic Arts

At a glance

TL;DR · AI Infrastructure Engineer

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The AI Infrastructure Engineer role at EA’s XO group is a senior-level position focused on designing and operating AI-powered, cloud-native infrastructure using AWS CDK. This hands-on leadership role involves implementing AIOps practices, building self-monitoring systems, and establishing standards for CI/CD, observability, and DevSecOps. Key responsibilities include architecting event-driven integrations, ensuring continuous validation of system health, performance, and security, and mentoring engineers to drive scalable platform capabilities. The ideal candidate has 7+ years of experience in DevOps or SRE with expertise in AWS, Infrastructure as Code (AWS CDK), observability tools like Datadog and Prometheus, and building CI/CD pipelines with integrated security controls. Experience with event-driven architectures, Kubernetes, and real-time systems is a plus. This role supports EA’s mission to provide innovative entertainment experiences for millions of players worldwide.

Skills

AWS AWS CDK Python CI/CD DevSecOps Datadog Prometheus Grafana OpenTelemetry Kafka SNS/SQS Kubernetes Databricks

What you'll do

Lead the design and implementation of AI-powered DevOps (AIOps) capabilities.
Build self-monitoring and self-healing systems using event-driven automation.
Architect infrastructure as software using AWS CDK for programmable IaC.
Establish end-to-end observability and traceability across services and data flows.
Design CI/CD pipelines with embedded security controls for DevSecOps practices.

What we're looking for

7+ years of experience in DevOps, SRE, platform engineering, or systems engineering.
Strong expertise in AWS services including compute, storage, networking, and IAM.
Advanced experience with Infrastructure as Code using AWS CDK and reusable patterns.
Deep knowledge of observability tools like Datadog, Prometheus, Grafana, OpenTelemetry.
Proficiency in building CI/CD pipelines with integrated infrastructure provisioning and security controls.
Experience with event-driven architectures (e.g., Kafka, SNS/SQS) for system integrations.
Strong understanding of security principles including least privilege and secure system design.

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