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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.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead the design and implementation of AI-powered DevOps (AIOps) capabilities, including anomaly detection, predictive alerting, and automated remediation</li>\n<li>Build and operate self-monitoring and self-healing systems using event-driven automation</li>\n<li>Architect and implement infrastructure as software using programmable IaC frameworks (AWS CDK preferred)</li>\n<li>Develop reusable infrastructure patterns, shared libraries, and platform standards across teams</li>\n<li>Establish end-to-end observability and traceability across services, pipelines, and data flows</li>\n<li>Design and govern CI/CD pipelines that provision, validate, and deploy infrastructure with embedded security and compliance controls (DevSecOps)</li>\n<li>Define and implement security best practices, including policy enforcement, identity management, and continuous validation of system posture</li>\n<li>Design and support event-driven integration patterns across internal systems, ensuring reliable communication and signal propagation</li>\n<li>Define SLIs/SLOs and lead incident response, postmortems, and continuous reliability improvements</li>\n<li>Mentor engineers and influence architecture decisions across teams</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>7+ years of experience in DevOps, Site Reliability Engineering (SRE), platform engineering, or systems engineering</li>\n<li>Strong expertise in AWS across compute, storage, networking, and IAM</li>\n<li>Experience designing and operating systems supporting both traditional services and AI/ML workloads</li>\n<li>Advanced experience with Infrastructure as Code, with emphasis on AWS CDK and reusable infrastructure patterns</li>\n<li>Deep experience with observability tools (Datadog, Prometheus, Grafana, OpenTelemetry) and distributed systems debugging</li>\n<li>Strong experience building CI/CD pipelines with integrated infrastructure provisioning, testing, and security controls</li>\n<li>Experience with event-driven architectures (Kafka, SNS/SQS) and system integrations</li>\n<li>Proficiency in Python, Typescript, or similar programming languages</li>\n<li>Strong understanding of security principles, including least privilege, identity controls, and secure system design</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Experience with SageMaker, Bedrock and AgentCore, Kubernetes (EKS) and container orchestration at scale</li>\n<li>Experience with Data Lakehouse platforms (e.g., Databricks) and data pipeline integration</li>\n<li>Experience building internal developer platforms or shared infrastructure frameworks</li>\n<li>Experience creating custom CDK constructs or platform tooling</li>\n<li>Familiarity with policy-as-code and continuous compliance frameworks</li>\n<li>Exposure to real-time systems or high-scale consumer platforms</li>\n<li>Background in gaming, media, or large-scale consumer ecosystems</li>\n</ul>\n<p>Pay Transparency - North America</p>\n<p>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 (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).</p>\n<p>PAY RANGES</p>\n<p>British Columbia (depending on location e.g. Vancouver vs. Victoria) $122,300 - $170,700 CAD</p>\n<p>Pay is just one part of the overall compensation at EA.</p>\n<p>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.</p>\n<p>About Electronic Arts</p>\n<p>We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.</p>\n<p>We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9968648d-e9d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/AI-Infrastructure-Engineer/213015","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$122,300 - $170,700 CAD","x-skills-required":["AWS","Infrastructure as Code","Observability tools","Distributed systems debugging","CI/CD pipelines","Event-driven architectures","Python","Typescript"],"x-skills-preferred":["SageMaker","Bedrock and AgentCore","Kubernetes","Data Lakehouse platforms","Internal developer platforms","Policy-as-code","Continuous compliance frameworks"],"datePosted":"2026-04-24T13:12:56.927Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AWS, Infrastructure as Code, Observability tools, Distributed systems debugging, CI/CD pipelines, Event-driven architectures, Python, Typescript, SageMaker, Bedrock and AgentCore, Kubernetes, Data Lakehouse platforms, Internal developer platforms, Policy-as-code, Continuous compliance frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":122300,"maxValue":170700,"unitText":"YEAR"}}}]}