AI Infrastructure Engineer

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world.

The AI Infrastructure Engineer will design and operate AI-powered, cloud-native infrastructure that is self-monitoring, self-healing, and secure by default.

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