Direct Client Requirement: Role: Senior Cloud Infrastructure Automation Engineer Location: Raleigh, NC Duration: Long-term Note: Need Candidates Only on My W2 and H1B Transfers works on my W2 Overview: This position is a Cloud Infrastructure Automation Engineer role that contributes to the success of IB-Data Analytics Cloud Platform team Strategy by partnering with customers to deliver integrated software solutions and automation. As a member of the team, you will provide technical guidance for customers and team members in the areas of software integration, and workflow automation. The automation engineer should possess a high degree of knowledge on software engineering and integration, strong communication skills, and experience in consulting various customers leading them from idea to delivering business value by creating timely and effective software and automation solutions. We are looking for a candidate that is passionate about technology, learning our business, and working in a collaborative team environment to help contribute to the success of our organization. Possessing a learning mindset to grow your existing technology and business expertise is a must. This position will have a great opportunity to contribute to and influence IB-Data Analytics workflow and automation processes and architectures that provide business value by serving our Cloud Platform tenants.
Responsibilities:
Perform Big Data cluster capacity planning
Perform benchmarking on various Big data tools and technologies and articulate pros and cons
Implement end to end Big Data cluster security thru Role based access control
Implement batch orchestration using AirFlow
Create application containers and orchestrate them using OpenShift/Kubernetes
To be able to architect Big Data, AI/ML solution in Cloud preferably Microsoft Azure
Proficient and hands-on cloud native PaaS such as SQLDW, Stream Analytics, Appinsight and Azure Databricks
Develops SHELL, PERL and PYTHON scripts to accomplish day to day system administration tasks and to support business application requirements
Required Skills:
Minimum 5 years as an Infrastructure DevOps or automation engineer
Proficient in server side scripting
Knowledge of DevOps capabilities such as Continuous Integration and Delivery (CI/CD), Automated Testing, etc.
Knowledge on Terraform is must preferably in Azure
Good exposure on Microservices architecture and their deployment in cloud world. (Especially Azure +Terraform)
Should have worked on setting up & troubleshooting Kubernetes Clusters in Production ready environment
Help teams in migration from monolithic application to Microservices using containerization solutions (Docker, Kubernetes)
Worked on onboarding Microservices (Middleware/UI) components using DevOps technique & look for improvements
Prior experience in automating CI/CD process, platform services using open source tools
Nice to have Skills:
Azure or AWS certification is preferred
Knowledge of Databricks and Azure AppInsight is a big plus
Knowledge of No-SQL databases and Big Data (MongoDB, Casandra etc.)
Knowledge of JIRA system to log problems, bug fixes for Development book of work.
Experience on Splunk tool or any Log Management tool
Experience in Snowflake.
Education:
BS in Computer Science / Software Engineering or equivalent experience.