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Site Reliability Engineer (Google Cloud Platform)

Salary undisclosed

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Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Site Reliability Engineer (Google Cloud Platform) for our client in the Consulting domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately.

Duration: 3+ Months Contract

Location: Etobicoke, ON

Salary: $70.00-$75.00/Hourly

Role: Site Reliability Engineer (Google Cloud Platform)

Primary Skills: MS Azure

Role Description: The Site Reliability Engineer (Google Cloud Platform) must have 7+ years of experience.

Roles & Responsibilities:

- Cluster Management: Deploy, manage, and maintain Kubernetes clusters on Google Cloud Platform using GKE

- Application Deployment: Deploy and manage containerized applications on GKE clusters, ensuring seamless integration with Google Cloud Platform services.

- Monitoring & Logging: Set up and manage monitoring, logging, and alerting systems using tools like Prometheus, Grafana, Stack driver, etc.

- Automation & Scripting: Automate the deployment and scaling of applications using Helm, Terraform, and CI/CD pipelines

Education: Bachelor?s degree

Experience: Minimum 7+ years of experience

Relocation: This position will not cover relocation expenses

Travel: No

Local Preferred: Yes

Note: Must be able to work on a W2 basis (No C2C)

Recruiter Name: Rishabh Sharma

Recruiter Phone:

Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.



Minimum Education Required: Bachelor

Years of Experience Required: More than 5 years

Expected Travel Time: None

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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