Cloud Platform SRE-Sunnyvale

Alibaba Cloud is hiring a Cloud Platform SRE to build reliability tooling and automation while owning the day-to-day reliability of production services. The role also focuses on incident response, stability improvements, and applying intelligent systems to operations.

Responsibilities

• Design, develop, and maintain high-quality operations tooling and platforms used by SRE and R&D teams (automation, monitoring/alerting, diagnostics, self-healing)
• Own reliability for a defined set of production services: release management, capacity planning, performance tuning, monitoring, and participation in a 24/7 on-call rotation
• Investigate and resolve production incidents; perform root cause analysis and drive systemic fixes through code and automation
• Identify and eliminate toil; measure and improve the engineering efficiency of operations workflows
• Explore and integrate intelligent systems/natural language processing capabilities into operations workflows (AIOps), from alert triage to automated investigation
• Collaborate with R&D teams and colleagues distributed across time zones on designs, releases, and reliability improvements
• Perform daily operations and maintenance of applications, databases, and middleware, as well as troubleshooting and answering customer inquiries as needed

Skills

• A degree in Computer Science or a related field
• 3+ years of software development experience in Go, Python, Java, or a comparable language, with a track record of building tools, platforms, or services used by other engineers or running in production
• 2+ years of experience operating production services, including participation in on-call rotations, monitoring/alerting, incident response, and release management
• Proficiency with Linux environments, cloud infrastructure, and container orchestration (Kubernetes/Docker)
• Strong system diagnostic and problem-solving skills; comfort reading and debugging large distributed codebases and systems
• Good communication skills and demonstrated ability to collaborate effectively across time zones with distributed teams
• Hands-on experience applying intelligent systems/ML or natural language processing-based techniques to operations (AIOps): anomaly detection, alert-noise reduction, agentic investigation/triage workflows, or natural language processing observability
• In-depth understanding of monitoring/observability systems (Prometheus, Grafana, OpenTelemetry, logging/tracing stacks) and experience building on top of them
• Experience with infrastructure-as-code and CI/CD (Terraform, Ansible, ArgoCD, GitHub Actions, or similar)
• Experience in designing and implementing distributed systems, message queues, or data pipelines
• SRE or DevOps experience at a major cloud provider or an internet-scale company

Company Overview

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