Senior Engineer, Cloud Delivery

DUTIES & RESPONSIBILITIES / 主 要 职 责 

Alibaba Cloud Solution Design 

• Requirements Analysis & Solution Design: Partner with engineering and delivery teams to translate application and business requirements into Alibaba Cloud target architectures, covering compute, storage, networking, database, middleware, and security services. 

• Configuration Recommendations: Provide recommendations on service selection, sizing, high availability, disaster recovery, and security configuration, and codify them as standardized configuration baselines. 

• Security & Compliance by Design: Embed security controls (least-privilege access, encryption, network isolation, logging and audit trails) into every design, in alignment with Cloud Security, GxP, and Data Integrity requirements. 

 Cloud Implementation & AI-Driven Automation 

• Resource Provisioning & Implementation: Implement and configure Alibaba Cloud resources and environments according to approved designs, supporting delivery teams from build and migration through go-live and handover to operations. 

• AI-Assisted Infrastructure as Code: Use AI tools (e.g., AI coding assistants and LLM-based agents) together with IaC tools such as Terraform and Alibaba Cloud ROS to generate, review, and automate infrastructure build-out, reducing manual effort and configuration errors. 

• Pipelines, Guardrails & Drift Control: Build CI/CD pipelines and policy-as-code guardrails for infrastructure delivery, and continuously verify deployed configurations against baselines to detect and remediate configuration drift. 

 Cross-Team Collaboration & Enablement 

• Delivery Collaboration: Act as the Alibaba Cloud technical point of contact for engineering and delivery teams, resolving implementation blockers and coordinating with Alibaba Cloud support and implementation partners. 

• Technical Enablement & Training: Deliver documentation, tech talks, and hands-on workshops on Alibaba Cloud services, IaC, and AI-assisted automation to drive team self-sufficiency. 

• Reusable Assets & Knowledge Base: Build and maintain a library of reusable IaC modules, templates, architecture blueprints, and runbooks to accelerate future cloud onboarding. 

JOB REQUIREMENTS & COMPETENCIES

Job requirements

Academic / Professional qualification

• Bachelor’s degree or above in Computer Science, Software Engineering, Information Technology, or related technical disciplines. 

• Professional-level public cloud certifications preferred (e.g., Alibaba Cloud ACP / ACE, AWS / Azure / GCP associate or professional); Kubernetes (CKA / CKAD) or HashiCorp Terraform certification is a plus. 

Technical / skill training

• Hands-on training in core public cloud services (Alibaba Cloud / AWS / Azure), including compute, networking, storage, databases, containers (Kubernetes), and IAM. 

• Training in Infrastructure as Code and automation tools such as Terraform, Alibaba Cloud ROS, and Ansible, and in CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Jenkins). 

• Practical training in load and performance testing tools (e.g., JMeter, Locust, k6) and observability tooling (e.g., Prometheus, Grafana, CloudMonitor / ARMS) for troubleshooting and tuning. 

Working experience:

Essential

• 5+ years of experience in cloud engineering, DevOps, or application delivery, with hands-on deployment experience on at least one major public cloud (Alibaba Cloud preferred) in enterprise environments. 

• Strong hands-on troubleshooting skills across cloud networking, IAM permissions, configuration, and environment issues, with practical experience writing IaC (e.g., Terraform) and CI/CD pipelines. 

• Proven track record of working alongside development, delivery, and Ops teams to take cloud workloads from PoC to production. 

Desirable

• Experience in regulated industries (e.g., pharmaceutical / life sciences) with GxP, Data Integrity, and China cybersecurity compliance requirements (e.g., MLPS 2.0). 

• Experience running technical PoCs or evaluating emerging cloud-native and AI services (e.g., AI runtimes, serverless, service mesh). 

• Experience in pre-launch performance benchmarking and tuning across compute, storage, database, and API layers. 

Language ability

• Strong professional working proficiency in English and Chinese, capable of cross-border collaboration, writing technical documentation, and communicating technical solutions to global stakeholders. 

Others

• Strong cross-functional communication and problem-solving skills, able to work effectively with development, delivery, Ops, and vendor teams. 

• High sense of ownership and delivery focus, a hands-on “get it working” attitude, a compliance-aware mindset, and continuous passion for learning emerging cloud and AI technologies. 

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.