Senior Site Reliability Engineer, Data & Analytics

Blizzard Entertainment is a premier developer and publisher of entertainment experiences, known for its iconic video game franchises. They are seeking a Senior Site Reliability Engineer to improve the reliability, scalability, and performance of large-scale data platforms and analytics pipelines while building automation tooling to enhance engineering efficiency.

Responsibilities:

• Participate in an on-call rotation and drive incidents to resolution
• Lead blameless postmortems and identify systemic reliability improvements
• Partner with data, ML, and platform teams to improve batch, streaming, training, and inference workloads
• Support ML training pipelines and inference services, including GPU workloads
• Help define how data and ML services run on Kubernetes
• Design and build automation and operational tooling (e.g., workflows, diagnostic tooling, runbooks) to reduce on-call burden
• Build and evolve centralized platform services, including shared tooling, data integrations, and access controls
• Diagnose and resolve reliability, performance, and cost issues across distributed systems
• Champion automation, documentation, and practices that reduce toil
• Maintain infrastructure using Terraform and infrastructure-as-code principles
• Improve CI/CD and GitOps workflows (Jenkins, GitHub Actions, ArgoCD)
• Operate and improve containerized services on Kubernetes
• Define and measure reliability using SLIs, SLOs, and error budgets
• Run load tests, capacity modeling, and production validation
• Build internal tools and paved paths that help teams operate safely and efficiently

Requirements:

• Experience operating reliable, distributed systems in SRE, platform, or similar roles
• Experience with data, analytics, ML, or large-scale distributed workloads
• Strong knowledge of Linux, containers, Kubernetes, and cloud infrastructure
• Experience building automation or internal tools (Python, Go, shell, etc.)
• Experience with infrastructure-as-code (e.g., Terraform)
• Experience with CI/CD or GitOps systems (e.g., Jenkins, GitHub Actions, ArgoCD)
• Familiarity with observability (metrics, logs, traces, alerting, incident response)
• Solid understanding of SRE concepts (SLIs, SLOs, error budgets, postmortems)
• Experience using modern development and automation practices to improve reliability and efficiency
• Experience building internal tooling, automation, or developer productivity systems
• Strong communication skills with technical and cross-functional partners
• Experience with data and ML systems (training pipelines, model serving, GPU workloads)
• Experience with distributed systems and messaging (Kafka, Pub/Sub)
• Experience working in Kubernetes-based environments
• Familiarity with observability tools (Prometheus, Grafana)
• Experience operating systems in cloud environments (GCP, AWS)