Note: The job is a remote job and is open to candidates in USA. Blizzard Entertainment develops interactive entertainment experiences and iconic video game franchises. The Senior Site Reliability Engineer will improve the reliability, scalability, and performance of large-scale data platforms, analytics pipelines, ML training pipelines, and inference services while building automation and operational tooling. The role also partners with data, ML, and platform teams to operate distributed systems and improve 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
Skills
- Experienceoperatingreliable, 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 orGitOpssystems (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
- Experiencebuilding internal tooling, automation, or developer productivity systems
- Strong communicationskills 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)
Benefits
- Subject to eligibility requirements, medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance.
- 401(k) with Company match, tuition reimbursement, charitable donation matching.
- Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave.
- Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others.
- If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.
- Employees in this role may be eligible for incentive compensation.
Company Overview
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