Job Details
Detailed JD: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 (eg, 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 ServicesAWS, 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