Alibaba-Site Reliability Engineer-Bellevue

Alibaba Group; Bellevue (WA); Presencial; USD 133.000 - 220.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

401(k)

Life insurance

FSA

Paid holidays (12)

Paid vacation (15 days)

Paid sick time (72 hours)

Descripción de la vacante

Alibaba Group in Bellevue, WA seeks a Site Reliability Engineer to build and maintain a high-availability model service platform. You will optimize monitoring, incident response, and automation to ensure reliability of AI inference services.

The role requires 3+ years in SRE/DevOps, strong Python/Go, and experience with distributed systems, cloud infrastructure, and Kubernetes; bilingual in English and Chinese preferred.

Formación

• 3+ years of experience in SRE/DevOps or backend development with distributed systems expertise.
• Experience with at least one modern language (Python, Golang, Java, C++).
• Strong ability to work under pressure, manage incidents, and participate in on-call rotations.
• Fluency in English and Chinese for daily communication.

Responsabilidades

• Oversee deployment, operation, and ongoing improvement of the platform and its services.
• Enhance monitoring, logging, and alerting; improve observability against SLA targets.
• Investigate and resolve customer-related QoS issues, collaborating with development teams.

Conocimientos

SRE/DevOps

Backend dev

Python

Golang

Java

C++

Incident management

English/Chinese

Herramientas

Kubernetes

Prometheus

Istio

Calico

Linux

Descripción del empleo

Job Description

We are the AI Inference Platform at Alibaba Group, committed to delivering a cutting-edge MaaS platform and toolkits for application development through technological innovation and engineering practices. Our team focuses on the fundamental R&D in model services, while also providing full-stack development that ranges from architecture design to model applications. Our goal is to build the industry's largest model service platform with excellent cost-efficiency, high performance, and enterprise-level reliability. By doing so, we aim to empower numerous enterprise clients to accelerate the development of model applications.

We are seeking a passionate and technically skilled Site Reliability Engineer (SRE) to join the our team. You will play a critical role in building and maintaining highly available, high-performance model service platform. Your responsibilities will include optimizing monitoring and alerting, incident response, troubleshooting customer issues, and developing automation systems to ensure the stability and reliability of the AI Inference Platform and system aplications.

Key Responsibilities

1. 1. Oversee the deployment, operation, maintenance, and continuous improvement of the standalone website and platform, including its initial construction and subsequent operational changes.
2. 2. System Reliability
   • Oversee the monitoring and alerting of our platform's and system aplications, rapidly diagnosing and resolving network, service, and hardware-level failures to meet SLA targets.
   • Design and optimize monitoring metrics, log collection, and alerting strategies to enhance system observability.
   • Participate in the emergency response and handling of online incidents, conduct root cause analysis (RCA), and drive long-term solutions to prevent recurrence.
3. 3. Customer Issue Resolution
   • Investigate and resolve customer-reported issues related to QoS of API service(e.g., latency, performance, optimization), collaborating with development teams to identify flaws in application clusters, edge networks, or infrastructure.
4. 4. Automation & Continuous Improvement
   • Develop tools and scripts (Python/Go) to automate deployment, scaling, fault recovery, and other operational workflows.
   • Build automated diagnostic toolchains to accelerate issue resolution and improve customer satisfaction.

Job Requirement

Minimum qualification:

• - 3+ years of experience in SRE, DevOps, or backend development, with expertise in distributed system operations. Experience in cloud computing, AI infrastructure, Alibaba Cloud is a plus.
• - Experience programming with at least one modern language such as Python, Golang, Java, C++.
• - Strong ability to work under pressure, manage critical incidents, and participate in an on-call rotation.
• - Fluency in both Chinese and English for daily communication.

Preferred qualification:

• - Familiarity with MaaS or related knowledge.
• - Deep knowledge of Linux systems, network protocols (TCP/HTTP), and databases, have deep understanding of cloud-native architecture design.
• - Experience with large-scale containers, kubernetes cluster operation and maintenance, have strong professional knowledge of Cloud Native related components (e.g., Prometheus, Istio, Calico, etc.).
• - Extensive experience in building large-scale monitoring systems and utilizing them for in-depth analysis and operations.

The pay range for this position at commencement of employment is expected to be between $133,200/year and $219,600/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.