Job Description :
Position: AWS DevOps Engineer
Location: Arbor, MI
Employment Type: Contract

Job Summary:

Production work with relates to AWS DevOps role for client listed below ( Client is continuously leveraging all the new services as and when AWS releases and integrate it in to their production workloads if it suits them )

Roles and Responsibilities:

High level overview of Cloud, why Cloud, various cloud offerings on Compute, Memory and Storage Stacks from AWS, AZURE and Google Cloud
AWS IAM – Complete understanding
AWS Compute Services - EC2, ECS ( Docker Containers ) and Lambda Functions, AWS API Endpoint – Using some of these services how to build a serverless architecture ? How to reduce production cost by replacing EC2 with Container workload automation AWS ECS Service ?
AWS Storage Services – EBS, S3 and Glacier – How to cut down production cost using these services ? How to plan for Disaster Recovery for production SQL work loads using some of these services
DR plan for production backend ( SQL Server ) – How to plan disaster recovery for production workloads using services like AMI,EBS Snapshots, S3 etc. and periodic AMI and Snapshot automation for all EBS volumes on production with auto purge old snapshots etc
DR plan for complete AWS account hacking – How quickly we are able to create all production workload using completely new AWS account from the scratch without losing much customer data and with less down time
Creating and managing Lambda functions using C# .Net Core, AWS API Endpoints, Cloudwatch, DynamoDB and manage ( Client connect ) REST endpoints
On demand basis provision and manage SQL/Aurora RDS instances and manage them properly
Using AWS Auto scaling automate horizontal scaling for WebServer traffic and handle high volume of traffic without any throttling
Create VPC’s,VPN’s for KORE and Aries Cellular roviders, manage elastic IP’s, create and manage security groups to prevent unauthorized access to AWS resources
Manage SES and SNS services and manage customer domains so that mails and notifications go properly
AWS Route53 – Create and manage various Customer domain names properly
For bigdata POC – RedShift and MS BI visualization tool
Customer data archival strategy using cheap storages like Glacier or S3 etc.
CloudFormation tool expertise to recreate and automate various production infrastructure repeatedly
POC – Sage Maker for machine learning
POC - AWS IOT and Green Grass
             

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