Alibaba Cloud-Site Reliability Engineer-Bellevue

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
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   • Manage cloud platform costs for Big Data and PAI products in the US region, including:
     • Resource budgeting and forecasting
     • Server procurement coordination
     • Service scaling operations, including expansion and reduction
     • Service deployment and decommissioning
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     • 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
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       • Support nighttime emergency response operations for Big Data and PAI products in the China region during GMT+8 business hours. Minimum qualification:
         • 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.
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           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.

           The pay range for this position at commencement of employment is expected to be between $145,200/year and $238,000/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

           If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

           Alibaba U.S. based full time regular employees have access to medical, dental, and vision insurance, a 401(k) plan and basic life insurance, and wellbeing benefits like FSA, subject to the terms and conditions of the applicable plans then in effect. U.S. based employees are also eligible to receive up to 12 paid holidays, accrue up to 15 paid vacation days for this position, and receive up to 72 hours paid sick time (front-loaded) per calendar year.