Cloud Architect (SO/Virtualization/Middleware) AWS

Description

Job Summary: Responsible for defining high-level architectures for workloads on AWS, integrating operating systems, virtualization, and middleware, while ensuring alignment with standards and best practices. Key Highlights: 1. Challenging career and continuous learning within a Technology team 2. Part of a global network with opportunities for growth and development 3. Focus on innovation, collaboration, and digital transformation of clients Accenture is a global leader in professional services, offering a broad range of solutions in strategy and consulting, technology, operations, and digital capabilities, delivering comprehensive services to our clients to help them achieve peak performance. Within our **\#Technology** team, we partner with clients to address the many challenges of digital transformation. We help them harness the power of digital technologies to become more effective, innovative, and disruptive. **Why Choose Accenture?** If you seek a challenging career, continuous learning, membership in a global network, diverse opportunities for growth and development, and collaboration with exceptional people, this is the place for you. At Accenture, we operate across four business areas: Strategy & Consulting, Technology, Operations, and Song. Each area delivers a unique professional experience, maintaining a shared focus on innovation, collaboration, and client transformation. Responsible for defining high-level architecture (HLD) for AWS workloads across operating system, virtualization, and middleware layers. Defines patterns, standards, and reference topologies, ensuring proper integration with SDDC environments and cloud services. Acts as technical lead for reviewing and approving low-level designs (LLD), guaranteeing alignment with best practices, scalability, security, and resilience. **Activities:** Define HLD architectures for AWS workloads (OS, virtualization, and middleware) Establish design patterns and standards for cloud deployments Design reference topologies for applications and middleware platforms Validate and approve LLDs generated by implementation teams Define migration strategies (rehost, replatform) from on-premises environments Ensure integration with SDDC environments (VMware / hybrid) Incorporate best practices for high availability, scalability, and resilience Define hardening and security guidelines at OS and middleware levels Assess application cloud compatibility and readiness Support critical technical decisions and mitigation of architectural risks **Skills:** **AWS (Core):** Architecture design on Amazon EC2 (Linux / Windows) AWS Application Migration Service (MGN) — architectural approach AMI design and image strategy Auto Scaling and Elastic Load Balancing (ALB / NLB) Storage design (EBS, EFS, FSx) AWS Systems Manager (SSM) — large-scale management Observability with CloudWatch (logs, metrics, alarms) IAM integration design (roles, policies, least privilege) **OS / Middleware Architecture:** Definition of standards for Linux and Windows Server Hardening and baseline strategies (CIS, security) Design of middleware platforms (Apache, Nginx, IIS) Application server architecture (Tomcat, JBoss, WebLogic) Application deployment patterns (monolith, 3-tier, etc.) High availability and failover strategies for middleware OS and JVM tuning and performance optimization **Virtualization / SDDC:** Architecture on VMware vSphere / vCenter Integration with VMware Cloud on AWS Use of VMware HCX for hybrid migrations Migration strategies (cold, warm, live) Definition of golden images and templates Integration of on-premises environments with AWS **Design and Governance:** Development of HLD (High Level Design) Review and approval of LLD (Low Level Design) Definition of standards and best practices Documentation of architecture and technical decisions Risk analysis and trade-offs Technical governance and alignment with frameworks (Well-Architected) **Plus:** Infrastructure as Code (Terraform / CloudFormation) Containers (Docker) and foundational Kubernetes concepts (EKS) CI/CD (GitHub Actions, Jenkins, AWS CodePipeline) Scripting (Bash, Python, PowerShell)