Manager, Senior Cloud Engineering

Roles & Responsibilities

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

Our Competencies for All Employees

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Security Architecture

AWS

Architectural

Reliability

Python

PMP

Architecture Design

SaaS

Encryption

Amazon Cloud