> Markdown version of [/jobs/ext/4550907-alibaba-cloud-site-reliability-engineer-bellevue](https://www.wearedevelopers.com/jobs/ext/4550907-alibaba-cloud-site-reliability-engineer-bellevue). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Alibaba Cloud-Site Reliability Engineer-Bellevue - **Company:** Alibaba Group - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $145,200.0 - **Contract:** Permanent contract - **Skills:** Apache HTTP Server, Batch Processing, Big Data, Cloud Computing, Cloud Database, Cloud Engineering, Data Infrastructure, Data Warehousing, Distributed Systems, MapReduce, Python (Programming Language), Linux System Administration, Natural Language Processing, Open Source Technology, Performance Tuning, Reliability Engineering, Runbook, Workflow Management Systems, Scripting, Cloud Platform System, Retrieval-Augmented Generation, Software Troubleshooting, Agentic-AI, Kubernetes, Information Technology, Apache Flink, Stream Processing - **Published:** November 3, 2026 - **Apply:** https://www.careerbuilder.com/job-details/alibaba-cloud-site-reliability-engineer-bellevue-bellevue-wa--de450ef7-442d-4947-b83a-193d8538bc53 ## About the Role Reliability Engineering, Cloud Computing, Data Collection, Analysis Skills, Big Data, Apache, Cloud Computing, Computer Systems, Data Warehousing, MapReduce, @ Bachelor's degree in Computer Science or a related field with solid fundamentals. Expert-level Linux system administration skills. @ Proficient in open-source big data architectures. Experience with Alibaba Cloud proprietary Big Data and PAI products is preferred. @ 5+ years of experience in the development or operations of large-scale distributed systems. Strong troubleshooting and performance optimization capabilities. @ Cloud-native technical competency with hands-on Kubernetes experience, including architecture understanding, issue diagnosis, and change releases. @ Strong scripting skills in Python and Shell for automated troubleshooting, monitoring solutions, and operational automation. @ < Preferred qualification: - Experience developing natural language processing applications or intelligent systems agents is preferred. Familiarity with RAG, tool calling, workflow orchestration, or related agent frameworks is a plus. - Experience applying natural language processing or intelligent systems agents to cloud operations, observability, or troubleshooting is preferred. - Adaptable, collaborative, and open-minded, with a strong sense of ownership and a willingness to embrace change,excellent communication skills. Chinese language proficiency is a significant advantage. ## Description Alibaba Cloud Computing Platform includes a proprietary big data platform, ODPS (MaxCompute, Hologres, DataWorks, etc.), open-source big data platforms (E-MapReduce, Realtime Compute for Apache Flink, etc.), and PAI. It provides a comprehensive product system covering data collection, storage and analysis, development and governance. Alibaba Cloud Computing Platform also provides a variety of computing capabilities, including large-scale batch processing and real-time stream processing. Alibaba Cloud is the only Chinese company in Forrester's Leaders quadrant for cloud data warehouses. 1. Responsible for ensuring the stability of Alibaba Cloud Big Data and PAI products in the US region, including: + Service delivery and deployment + Monitoring configuration and emergency incident response + Change releases + Troubleshooting complex customer issues + < + Manage cloud platform costs for Big Data and PAI products in the US region, including: o Resource budgeting and forecasting o Server procurement coordination o Service scaling operations, including expansion and reduction o Service deployment and decommissioning o < o Participate in the design and development of intelligent systems agents for cloud operations, including: # Alert analysis, troubleshooting, operations knowledge Q&A, and automated operations # Turning operations experience and runbooks into knowledge and tools that agents can use # Driving the adoption and improvement of operations agents in production environments