Cloud Assessment Leads

2 months ago


noida, India HCLTech Full time

Cloud Assessment Leads:

Location: Noida, Pune & Bangalore


Total years of experience: 10-12 Years

Relevant experience for engagement: 10-12 Years


Relevant skillset:

Cloud Consulting

Cloud discovery and assessment

Cloud migration planning

Cloud optimization services


Relevant technology domains:

  • Proficient in handing cloud readiness assessment and migration planning with various assessment tool and workshops.
  • Proficient in conducting assessment workshop to collect assessment & migration data points.
  • Extensive experience with assessment tools like Columnize, Cloudscape, Texture, DMA etc.
  • Extensive experience in defining migration strategy with R’s (re-host, re-platform, re-locate, retain, rearchitect, etc.)
  • Proficiency in handling project transitions, executing projects of on-premises datacenter, Public, and Private Hybrid cloud models.


Professional Summary:

  • Has proposed the cloud solutions evaluating the customer benefits, technical compatibility, TCO and other factors of Cloud
  • Has evaluated specific solution on multi-cloud environments
  • Worked on high level and Deep level assessment for various customer for public cloud migration including hybrid environment setup.
  • Worked on the end-to-end setup, configuration of cloud assessment tool including both agent and agentless approach.
  • Worked on creating application stacks, dependency charts, application classification and creating presentation desk.
  • Worked in Agile methodology
  • Performed data analysis based on Cloud discovery tool(s) data and customer provided data.
  • Defined the migration strategy for “Go” and” No-Go” application and databases based on assessment tool data collection and various workshop with customers.
  • Strong communication & collaboration skills with proficiency in grasping technical concepts quickly & utilizing the same in a productive manner


Relevant Certifications:

  • Azure/AWS/GCP Certified Architect
  • Extensive knowledge and on public cloud platforms like Azure, Amazon, GCP.

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