4 - 9 years

22 - 37 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Description

Desired Skills and Experience:

  • 4 - 15 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 GoogleCloud Platform
  • Proven experience in architecting private cloud/data center solutions using virtualization technologies like VMware, with strong expertise in implementing DevOps/DevSecOps practices and automationstrategies
  • Hands-on experience of leading cloud and infrastructure strategy current state assessment workshops with client stakeholders and defining target operating model (TOM) Cloud Center ofExcellence driving large-scale cloud migration planning including infrastructure right sizing and costoptimization

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 deepknowledge of cloud services, networking, IAM, cost optimization, multi-cloud strategies, andhands-on experience with the pillars of the well-architected framework
  • Datacenter Architecture VMWare Extensive experience in architecting and modernizingdatacenter infrastructure using VMware or equivalent virtualization platforms, with a strong trackrecord in leading complex datacenter migration and exit engagements, planning merging newdatacenter including workload assessment, planning, and execution
  • Infrastructure-as-Code (IaC) and Configuration Management Hands-on expertise inInfrastructure as Code (IaC) and configuration management leveraging tools such as Terraform,Ansible, python scripting etc
  • with a strong track record of automating cloud infrastructureprovisioning, ensuring consistency and compliance across multi-cloud and hybrid environments
  • DevOps DevSecOps Knowledge Extensive experience in designing and implementingenterprise-grade DevOps and DevSecOps solutions, with strong proficiency in automatinginfrastructure provisioning and configuration through CI/CD pipelines
  • Cloud Infrastructure Design for AI use case Implementation Experience designing cloudinfrastructure solutions to support AI/Generative AI/Agentic AI applications, with hands-onexpertise in developing proof-of-concept solutions leveraging cloud-native services (such asGoogle Cloud Vertex AI, Azure AI Foundry) and scalable architecture patterns

Good to have skillsNutanix and RedHat OpenShift Virtualization Platforms

  • Familiarity with designinghybrid/private cloud architectures leveraging RedHat OpenShift, Nutanix platforms with hands-onexperience in architecting and implementing VMWare to OpenShift migration engagements wouldbe an added advantage
  • Networking Architecture Demonstrated experience in designing resilient and fault-tolerantnetwork architecture for datacenter and cloud infrastructure solutions
  • Familiarity with modernnetwork 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-tenantmigrations, with strong understanding of identity, access, and collaboration architecture inenterprise environments
  • Site Reliability Engineering Knowledge of implementing Site Reliability Engineering (SRE)practices, including reliability design, observability, incident response, and automation to ensurescalable, resilient, and high-performing cloud infrastructure on leading tools such asELK/Dynatrace/Splunk/Grafana etc
  • Enterprise Architecture Deep understanding and implementation experience of enterprisearchitecture frameworks and principles across multiple industry sectors, preferably TOGAF-3certified, with strong capabilities in architecture governance, technology alignment, and drivingstrategic transformation initiatives

Professional Certifications:

  • AI Certifications (AI-102, Google Generative AI Leader, Google CloudProfessional Machine Learning Engineer) Azure Cloud Solutions Architecture certification (AZ-305, AZ-104,AZ-400). Google Cloud Professional Architect certifications (GCP Professional Cloud Architect, GCPProfessional 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 bachelors or masters degree or equivalent

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