AI Infrastructure Engineer

Electronic Arts; Vancouver; On-site; CAD 122,300 - 170,700; Full time

Benefits offered by this job

3 weeks vacation

10 days sick leave

Health/dental/vision coverage

Life insurance

Disability insurance

Retirement plan

Job summary

Electronic Arts is seeking an AI Infrastructure Engineer in Vancouver to design and operate AI-powered, cloud-native infrastructure. The role involves leading AIOps practices and ensuring continuous validation of system health and performance.

Applicants should have over 7 years of experience in DevOps or systems engineering, strong AWS expertise, and knowledge in observability tools. This position offers a competitive salary range of $122,300 to $170,700 CAD, along with comprehensive benefits including health coverage and vacation.

Qualifications

• 7+ years of experience in DevOps or similar roles.
• Strong expertise in AWS across compute, storage, networking, and IAM.
• Experience with designing systems for AI/ML workloads.

Responsibilities

• Lead the design and implementation of AI‑powered DevOps capabilities.
• Develop reusable infrastructure patterns and shared libraries.
• Establish end‑to‑end observability and traceability.

Skills

AWS expertise

Infrastructure as Code

Observability tools

CI/CD pipelines

Event-driven architectures

Python

Security principles

Education

7+ years in DevOps, SRE, platform engineering, or systems engineering

Tools

AWS CDK

Datadog

Grafana

OpenTelemetry

Kafka

Job description

AI Infrastructure Engineer

As an 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.

In this hands‑on leadership role you will combine deep technical execution with architectural ownership, driving scalable, autonomous, and resilient platform capabilities across the organization.

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, post‑mortems, 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

Pay Transparency - North America

• British Columbia (depending on location e.g. Vancouver vs. Victoria) $122,300 – $170,700 CAD

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top‑up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full‑time employees. Certain roles may also be eligible for bonus and equity.

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors.

Pay is just one part of the overall compensation at EA.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.