Manager, Senior Cloud Engineering

Make a Lasting Impression. Join Tapestry, the first New York-based house of modern luxury lifestyle brands. A successful career at Tapestry is built on hard work, determination and a genuine passion for what you do.

At Tapestry, you are part of a global house of brands that is built around our shared values of optimism, innovation and inclusiveness. We believe anyone from anywhere can have the best idea, and with creativity and perseverance, anything is possible.

Whether it be Coach or Kate Spade, each of our great brands around the world helps people express themselves in their own unique ways.

**Key Responsibilities**
- Lead the design and implementation of cloud infrastructure architecture, constructing high-availability, scalable, and cost-optimized cloud platform architecture cross **AWS International and AWS China**
- Design and implement a **Landing Zone**architecture to standardize the deployment enterprise cloud governance, permission models, network topology, logging, and monitoring systems per Tapestry global infrastructure compliance requirement. Drive adoption of the **Well-Architected Framework (WA)**in business systems to ensure architecture meets five key dimensions: performance, security, cost, operability, and reliability.
- As part of Global Cloud Center of Excellence ( **CCoE**) that delivers architecture standards, service catalogs, automation templates, and training curricula; mentor teams and grow cloud-native capabilities through tech talks, CoP, and open-source contributions. Drive **SRE**(Site Reliability Engineering) practices by establishing **SLI**(Service Level Indicator), **SLO**(Service Level Objective), and **SLA**(Service Level Agreement) systems to enhance system availability and operations efficiency.
- **Infrastructure as Code (IaC) -**Lead the development and create reusable standard templates modules with **Terraform, OpenTofu and CloudFormation**with **GitHub and Bitbucket**etc.
- **Serverless Architecture / DevOps**- Hands-on technical managing AWS ECS and EKS and relevant container services, Drive the adoption of **cloud-native technology stacks**as infrastructure modernization which including Kubernetes, Service Mesh, microservices architecture, and event-driven architecture. Support the cloud migration serverless transformation of business systems, integrating Lambda, Function Computing and Serverless architecture for system refactoring. Optimize container images for security and performance, integrate container services with **CI/CD**pipelines, configure service discovery and load balancing for containers. Collaborate with **DevOps**teams to build pipelines to achieve versioned, automated deployment, and rapid rollback capabilities for infrastructure.
- Lead the design and implementation of **cloud security architecture**, including critical security controls such IAM, VPC, encryption strategies, and compliance auditing for information security compliance requirement.
- Formulate cloud **cost optimization strategies**by utilizing tools such as Cost Explorer, tagging policies, reserved instances, and spot instances to control resource costs. Participate in OKR alignment and architecture review meetings to ensure strong alignment of cloud architecture with business strategy and product roadmaps.
- Support **cross-functional team collaboration**involving product, development, operations, and security teams to ensure successful architectural implementation. Participate in technology selection and PoC experiments to evaluate the feasibility and compatibility of new tools and services within the cloud platform.
- **Automation & Development**- Develop Python script (Boto3) for cloud resource management, create automation workflows for routine operation tasks, implement custom resource providers for CloudFormation/Terraform/OpenTofu, Build monitoring & Alert solution with Cloud native services or 3rd party services.
- Establish a cloud architecture documentation system and knowledge base to support **team technical capability development**and **knowledge retention**.
- Establish **SOP**s for cloud platform operations and an automated operations system to enhance system stability and fault response efficiency.
- **AI/GenAI**- Design and implement solution as using AWS GEN AI services & large language model (LLM) for AI workload, configure the optimize AI for specific business use cases, evaluate and select appropriate foundation models based on performance requirements, implement guardrails to ensure responsible AI usage and compliance, with prompt engineering strategies for optimal model performance, Develop RAG (Retrieval Augmented Generation) architecture with AWS services.

**Qualifications**
- Proficient in spoken and written English & Mandarin for communication & collaboration with overseas & cross time zone technical team
- Strong knowledge of cloud methodologies ( **IaaS, PaaS, SaaS, Hybrid**), cost frameworks, automation and orchestration, business continuity