• US Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 26th Jul 2022

Job Description: 12+ Years’ experience in Data Space across Architecture, Design, Development, testing & Deployment, full understanding in SDLC. • 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.