Job Description :

Position: DevOps Engineer

Location: Dallas, TX

Duration: Full Time

 Main Skill sets: Python3, lambda, bash, Git, Gitlab, Python API Development and developing APIs in Kubernetes such as Redhat Openshift Container Platform.

 Mandatory:

·         At least 4-5 years of enterprise experience in DevOps, Platform and Cloud Engineering environment

·         Experience in cloud application deployment automation patterns and various scripting languages and also in automation patterns targeting various languages.

·         At least 4-5 years of enterprise experience with Jenkins automated build and continuous integration systems (CICD)

·         Experience with DevOps tools like Concourse, Jenkins, Artifactory, AWS, Azure etc.

·         At least 4-5 years of enterprise experience with Python. Mainly in Python3

·         At least 6-7 years of experience in Bash and/or Shell scripting.

·         At least 2-3 years of experience in API development. Better if using Python

·         At least 2-3 years of experience in developing APIs in Kubernetes such as REDHAT OpenShift Container Platform.

·         At least 2-3 years of experience with serverless AWS Lambda coding.

·         At least 2-3 years of enterprise experience with monitoring tools (Splunk or Cloud Native)

·         At least 3-4  years of enterprise experience building Data Pipelines, CICD pipelines, and fit-for-purpose Data Stores

·         At least 4-5 years of experience in Git/GitLab, Jenkins etc. and automation/pipeline building around that.

·         At least 2-3 years of enterprise Configuration Scripting experience with Ansible, Chef or Terraform

·         Actively participating in planning, definition, design and integration of pipeline services working with partners in the enterprise to assure consistency of development.

·         Owning the implementation of generic common component/service aspects of pipelines, which may include applications, infrastructure, security and/or database strategies

·         Participating in the enforcement of coding standards for the team as well as implementing a strong internal, repeatable DataOps process

 

 

,

Nitesh

             

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