Assistant Manager

• 7 - 10 years of experience with architecting, designing and implementing end-to-end cloud infrastructure solutions across leading Cloud platforms with a special focus on Azure and Google Cloud Platform
• Proven experience in architecting private cloud/data center solutions using virtualization technologies like VMware, with strong expertise in implementing DevOps/DevSecOps practices and automation strategies
• Hands-on experience of leading cloud and infrastructure strategy / current state assessment workshops with client stakeholders and defining target operating model (TOM) / Cloud Center of Excellence driving large-scale cloud migration planning including infrastructure right sizing and cost optimization
• Must have skills
• Cloud Infrastructure Architecture Demonstrated expertise in architecting secure, scalable, and resilient hybrid and cloud-native infrastructure solutions on Azure and GCP, with deep knowledge of cloud services, networking, IAM, cost optimization, multi-cloud strategies, and hands-on experience with the pillars of the well-architected framework.
• Datacenter Architecture / VMWare – Extensive experience in architecting and modernizing datacenter infrastructure using VMware or equivalent virtualization platforms, with a strong track record in leading complex datacenter migration and exit engagements, planning / merging new datacenter including workload assessment, planning, and execution.
• Infrastructure-as-Code (IaC) and Configuration Management – Hands-on expertise in Infrastructure as Code (IaC) and configuration management leveraging tools such as Terraform, Ansible, python scripting etc. with a strong track record of automating cloud infrastructure provisioning, ensuring consistency and compliance across multi-cloud and hybrid environments.
• DevOps / DevSecOps Knowledge – Extensive experience in designing and implementing enterprise-grade DevOps and DevSecOps solutions, with strong proficiency in automating infrastructure provisioning and configuration through CI/CD pipelines.
• Cloud Infrastructure Design for AI use case Implementation – Experience designing cloud infrastructure solutions to support AI/Generative AI/Agentic AI applications, with hands-on expertise in developing proof-of-concept solutions leveraging cloud-native services (such as Google Cloud Vertex AI, Azure AI Foundry) and scalable architecture patterns.
• Good to have skills –
• Nutanix and RedHat OpenShift Virtualization Platforms – Familiarity with designing hybrid/private cloud architectures leveraging RedHat OpenShift, Nutanix platforms with hands-on experience in architecting and implementing VMWare to OpenShift migration engagements would be an added advantage.
• Networking Architecture – Demonstrated experience in designing resilient and fault-tolerant network architecture for datacenter and cloud infrastructure solutions. Familiarity with modern network architecture concepts such as Software-defined networking (such as SDWAN etc.).
• Workplace Transformation – Proven experience in leading workplace transformation initiatives, including strategy formulation and execution of Active Directory and Microsoft 365 tenant-to-tenant migrations, with strong understanding of identity, access, and collaboration architecture in enterprise environments.
• Site Reliability Engineering – Knowledge of implementing Site Reliability Engineering (SRE) practices, including reliability design, observability, incident response, and automation to ensure scalable, resilient, and high-performing cloud infrastructure on leading tools such as ELK/Dynatrace/Splunk/Grafana etc.
• Enterprise Architecture – Deep understanding and implementation experience of enterprise architecture frameworks and principles across multiple industry sectors, preferably TOGAF-certified, with strong capabilities in architecture governance, technology alignment, and driving strategic transformation initiatives.

Professional Certifications: AI Certifications (AI-102, Google Generative AI Leader, Google Cloud Professional Machine Learning Engineer) Azure Cloud Solutions Architecture certification (AZ-305, AZ-104, AZ-400). Google Cloud Professional Architect certifications (GCP Professional Cloud Architect, GCP Professional Cloud DevOps Engineer etc.), TOGAF Enterprise Architecture certification (Good to have)

The Person:

• Experience in delivering client communications and strategic presentations to C-level executives, with strong technology advisory and consulting skills
• Outstanding interpersonal skills with the ability to develop and maintain excellent client relationships
• Embraces a growth mindset for business development, with an ability to groom junior resources within the team
• Good team player with strong commitment to professional and client service excellence.

Qualifications:

• A bachelor's or master's degree or equivalent [AD1]

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