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Kubernetes/DevOps Engineer

Location: South San Francisco, CA, California 94080
Posted:Tue, February 16, 2021
Salary:US$70.00 - US$80.00 per hour
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Job Title: Kubernetes/DevOps Engineer-

Job type: Contract (1 Year) on Experis' W-2

Location: South San Francisco CA 94080 United States

Pay rate: $70/hr - $80/hr


Job Responsibilities:

Research and implement MLOps tools, frameworks and platforms for our Data Science projects.

Work on a backlog of activities to raise MLOps maturity in the organization.

Proactively introduce a modern, agile and automated approach to Data Science.

Conduct internal training and presentations about MLOps tools' benefits and usage.

Management and development of continuous integration and deployment

Prototyping and developing cloud-native architecture solutions for application needs, particularly with AWS

Cloud platform development

Providing infrastructure-as-code utilizing Terraform and AWS Cloud Formation


Wide experience with Kubernetes and Docker is a must have

Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, h2O etc).

Good understanding of ML and AI concepts.

Hands-on experience in ML model development

Proficiency in Python used both for ML and automation tasks.

Good knowledge of Bash and UNIX command line toolkit.

Experience in CI/CD/CT pipelines implementation.

Experience with AWS cloud platforms is a must have.

Providing infrastructure-as-code utilizing Terraform and AWS Cloud Formation

Experience with Data Science IDE tools like Jupyter, Notebook, and RStudio

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