• Required to be hands on Tech Architectural profile , providing solutions , suggestions and helping in maintaining the technical frameworks.

• Provide Customer with general review of conceptual architectural models on AWS Services mutually selected by Customer and AWS

• Help define with Customer possible deployment patterns on AWS Services mutually selected between Customer and AWS (e.g., re-hosting, refactoring, revising, rebuilding and replacing)

• Advise Customer on AWS general best practices for architecting on AWS Services based on Customer’s mutually agreed use case(s)

• Multiple program experience in Waterfall, Agile, Models, working directly with client and business

• Worked on classical Global delivery model, ability to hand hold Development & Technology teams in System Design & Data Architecture

• At least one end to end Architecture & Deployment for Data intensive initiative, preferably in Data Platform

• Experience delivering Global scale Data platforms, on Prem, Hybrid & public cloud

• Experience working with Data products like Snowflake, etc.

• Expert level knowledge in AIML, Intelligent Automation & RPA

• Strong experience with any public cloud services - Amazon Web Services, AWS, Microsoft Azure, or Google Cloud ComputeGCP.

• Significant experience in Linux , Unix administration.

• Strong experience in source code management, CICD tools.

• Expertise in multiple coding and scripting languages including Shell andor Python, PowerShell.

• Hands-on experience to build and administer VMs and Containers using tools such as Docker, Vagrant, Kubernetes.

• Responsibilities Deploy, automate, maintain, manage and optimize cloudon-premise infrastructure and ensure Availability, performance, scalability, and security of productions systems.

• Design, test, implement continuous integration and deployment pipelines using GitLab CI, Jenkins etc.