AI Infrastructure EngineerAs 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.ResponsibilitiesLead the design and implementation of AI‐powered DevOps (AIOps) capabilities, including anomaly detection, predictive alerting, and automated remediationBuild and operate self‐monitoring and self‐healing systems using event‐driven automationArchitect and implement infrastructure as software using programmable IaC frameworks (AWS CDK preferred)Develop reusable infrastructure patterns, shared libraries, and platform standards across teamsEstablish end‐to‐end observability and traceability across services, pipelines, and data flowsDesign 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 postureDesign and support event‐driven integration patterns across internal systems, ensuring reliable communication and signal propagationDefine SLIs/SLOs and lead incident response, post‐mortems,



and continuous reliability improvementsMentor engineers and influence architecture decisions across teamsQualifications7+ years of experience in DevOps, Site Reliability Engineering (SRE), platform engineering, or systems engineeringStrong expertise in AWS across compute, storage, networking, and IAMExperience designing and operating systems supporting both traditional services and AI/ML workloadsAdvanced experience with Infrastructure as Code, with emphasis on AWS CDK and reusable infrastructure patternsDeep experience with observability tools (Datadog, Prometheus, Grafana, OpenTelemetry) and distributed systems debuggingStrong experience building CI/CD pipelines with integrated infrastructure provisioning, testing, and security controlsExperience with event‐driven architectures (Kafka, SNS/SQS) and system integrationsProficiency in Python, Typescript, or similar programming languagesStrong understanding of security principles, including least privilege, identity controls, and secure system designNice to HaveExperience with SageMaker, Bedrock and AgentCore, Kubernetes (EKS) and container orchestration at scaleExperience with Data Lakehouse platforms (e.G., Databricks)



and data pipeline integrationExperience building internal developer platforms or shared infrastructure frameworksExperience creating custom CDK constructs or platform toolingFamiliarity with policy‐as‐code and continuous compliance frameworksExposure to real‐time systems or high‐scale consumer platformsBackground in gaming, media, or large‐scale consumer ecosystemsPay Transparency - North AmericaBritish Columbia (depending on location e.G. Vancouver vs. Victoria) $122,300 – $170,700 CADFor 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 BENEFITSThe 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 advantages. 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. #J-18808-Ljbffr

📌 Ai Infrastructure Engineer (Richmond)
🏢 Electronic Arts
📍 Richmond