Cloud Advisory SME Career Soft Solutions Pvt. Ltd.
Career Soft Solutions Pvt. Ltd.
Office Location
Full Time
Experience: 12 - 12 years required
Pay:
Salary Information not included
Type: Full Time
Location: Karnataka
Skills: Advisory, Solutioning, Business understanding, Data structures, Microservices, Cloud Certification, advanced cloud certification, Cloud Delivery, Industry processes, Mergers, Divestitures, Operating model, Data availability assessment, AI Enablement, Distributed cloud architecture design, Migration, modernization techniques, serverless architecture, API, Integration Techniques, devsecops, Cloud Native Services, Cloud resource optimization, FinOps techniques
About Career Soft Solutions Pvt. Ltd.
Job Description
Skillset: Cloud Advisory SME Experience Level: 12 - 16 Years Job Location: Bangalore / Chennai / Hyderabad / Kolkata / Pune / Mumbai / NCR / Bhubaneswar / Kochi Job Description: 1. Understanding of client business objective, challenges, scope, business outcome through Cloud and AI enablement 2. Conduct advisory engagements - Cloud / Data Architecture, Industry Cloud, Mergers / Divestitures, Optimization / Operating Model, Ecosystem Integration 3. Assess existing application landscape and determine cloud led business transformation (migration/modernization) suitability 4. Provide technical guidance for cloud platform selection and migration/modernization 5. Develop hybrid cloud roadmaps and strategies for clients, conduct comprehensive cloud assessments, distributed cloud architecture design and create implementation plan and roadmap 6. Maintain client stakeholder relationship, identify downstream opportunities, ensure closure of advisory commitments 7. Conduct cost optimization analyses, identify opportunities to reduce cloud spending, maximize return on cloud investments 8. Ensure security and regulatory compliance, provide training and education to client on cloud technologies Mandatory Skills: Cloud certification / advanced cloud certification Previous cloud delivery, advisory, solutioning experience in cloud led business transformation engagements Business understanding of Industry processes, Mergers and divestitures, operating model post cloud adoption, data structures, data availability assessment and AI enablement Technical Proficiency in one / multiple of the following technology spaces Distributed cloud architecture design, migration and modernization techniques, microservices and serverless architecture, API and integration techniques, DevSecOps, cloud native services, cloud resource optimization and FinOps techniques Regards, Bala,