Job Description

Team Overview

Our Cloud and Modern Tech team focuses on partnering with clients to architect and implement robust, scalable cloud solutions that accelerate digital transformation, and unlock the full potential of AI-driven innovation. This team supports opportunities in the areas of: Cloud Strategy & Assessments, Cloud Architecture Design, Datacenter Transformation, Cloud Integration & APIs, Cloud Migration, Cloud FinOps , Cloud Governance, Post-quantum Cryptography, Tech Resiliency, Cloud-based Workplace Transformation and Cloud Infrastructure solutioning for AI application implementation. We help our clients see the transformational capabilities of Cloud and AI as an opportunity for business enablement and competitive advantage.

Desired Skills and Experience:

• 10 - 12 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.
  • 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 Architect certifications (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:

• Proven ability to engage with C-level executives and board members through strategic presentations, while effectively managing stakeholders and solving complex business challenges through technology consulting and advisory
• Outstanding interpersonal skills with the ability to inspire teams and develop excellent client relationships
• Embraces a growth mindset for business development, with an ability to influence senior stakeholders
• Good team player with strong commitment to professional and client service excellence.

Qualifications:

• A bachelor’s or master’s degree or equivalent

B.Tech