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Job Description & How to Apply Below
You will be responsible for setting up a monitoring stack. These metrics will be used for service capacity planning. Additionally, you will update our deployment model to cover automatic rollbacks, short downtime when a new version is deployed to production servers and similar challenges. Migration to the AWS CI /CD stack will also form a part of your responsibilities.
What Youll Do
Assist in the rollout and training of resources on utilizing AWS data science support tools and the AWS environment for development squads.
Work within the clients AWS environment to help implement AI / ML model development and data platform architecture
Help evaluate, recommend, and assist with installing of cloud-based tools
To wrangle data and host and deploy AI models
Expertise Youll Bring
A Bachelors or masters degree in science, engineering, mathematics or equivalent experience
5+ years working as a Dev Ops engineer
Strong hands-on working with AWS Lambda, S3, or similar tools
Working in an AGILE environment
Object Oriented Programming (OOP)
Relational database MySQL preferred
Proficiency in containerization tools
Linux
Shell Scripting Bash, Python
Git
CI / CD using Jenkins
Containerization Kubernetes, Pivotal Cloud Foundry, or other similar tools
Software development process including architectural styles and design patterns
Create CI / CD pipelines using Jenkins, Code Build, AWS ECR, and Helm
Jenkins job as code, infrastructure as code
All aspects of provisioning compute resources within the AWS environment
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