
普通员工/个人贡献者
AI 估算 · 30k–45k
AMD全球巨头,MTS级别,上海高级DevOps工程师薪资水平,技术栈热门,GPU和AI方向需求旺盛
作为AI/ML框架团队的软件工程师,你将负责构建和维护可扩展的DevOps基础设施,加速AMD的AI软件开发
THE PERSON: The ideal candidate is a skilled engineer with a strong background in DevOps, site reliability, or infrastructure engineering. They are proficient in Kubernetes, CI/CD tools, scripting (Python/Bash), and infrastructure automation frameworks such as Ansible. Experience working with GPU compute environments and integrating automated test workflows is highly valued. This person thrives in collaborative, fast-paced environments and can drive technical execution with minimal oversight. They bring a problem-solving mindset, strong communication skills, and a passion for building reliable, scalable systems.
CI/CD Pipeline Development: Design, implement, and manage efficient continuous integration and delivery pipelines using Buildkite, GitHub Actions, and Jenkins to enable rapid and reliable software deployment.
PREFERRED EXPERIENCE: DevOps Tools & Automation: Proficient with Buildkite, GitHub Actions, Jenkins, Ansible, and scripting languages like Python and Bash for streamlining DevOps workflows. Containerization & Orchestration: Strong experience with Docker, Kubernetes, and Helm for deploying and managing scalable, containerized applications. Infrastructure as Code (IaC): Hands-on experience automating infrastructure provisioning and configuration to ensure reproducibility and scalability across environments. GPU-Based Compute Environments: Familiarity with GPU server lifecycle management and integration of GPU resources into CI test workflows for performance-critical applications. Monitoring & Observability: Experience using tools like Checkmk, Prometheus, and Grafana to monitor infrastructure health and application performance. Version Control & Collaboration: Advanced knowledge of Git-based version control, including branching strategies and CI/CD integration for collaborative development. Linux & System Administration: Solid background in Linux environments, including shell scripting and system-level troubleshooting across distributed systems. Agile & Cross-Disciplinary Collaboration: Comfort working in Agile teams and partnering with software, infrastructure, and product teams to drive consistent delivery and innovation.
优点
缺点 / 挑战
AMD DevOps工程师,前沿技术栈,高成长性,办公现场,薪资有竞争力但未明确。
AMD为上市跨国巨头,薪资福利有竞争力,但JD未明确披露具体薪资和福利细节,补偿性满足度中等偏高。
职位涉及Kubernetes、GPU、DevOps等前沿技术,有广阔的技能成长空间;但JD中未明确提及晋升通道或培训,发展性满足度较高。
JD未提及远程或弹性工作,上海办公室通常现场办公;且DevOps角色可能涉及on-call或紧急响应,生活化满足度一般。
AMD致力于加速AI和计算体验,有一定使命感,但职位偏重内部基础设施,直接社会价值感知不强。