Google Cloud Infra SME Job at US Main, Parsippany, NJ

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  • US Main
  • Parsippany, NJ

Job Description

Hi,

Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.

Hope you are doing well?

I am looking for a candidate with experience as Site Reliability Engineer.

Job Role: Google Cloud Infra SME (Site Reliability Engineer)

Location: Parsippany, NJ

Duration: 6-12+ Months(possible extension)


Must be on our W2

Description:

Skills:

Proficiency in Google Cloud services (Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc.).
Familiarity with Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.)
Experience with automation tools (Terraform, Ansible, Puppet).
Familiarity with CI/CD pipelines and tools (Azure pipelines Jenkins, GitLab CI, etc.).
Strong scripting skills (Python, Bash, etc.).
Knowledge of networking concepts and protocols.
Experience with monitoring tools (Prometheus, Grafana, etc.).

Preferred Certifications:

Google Cloud Professional DevOps Engineer
Google Cloud Professional Cloud Architect
Red Hat Certified Engineer (RHCE) or similar Linux certification

Job Description: Site Reliability Engineer and Capacity Planning

We are looking for a talented Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP), and RedHat OpenShift administration. The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premise and cloud-based systems along with focus on reducing costs for Google Cloud.

System Reliability: Ensure the reliability and uptime of critical services and infrastructure.

Google Cloud Expertise: Design, implement, and manage cloud infrastructure using Google Cloud services.

Automation: Develop and maintain automation scripts and tools to improve system efficiency and reduce manual intervention.

Monitoring and Incident Response: Implement monitoring solutions and respond to incidents to minimize downtime and ensure quick recovery.

Collaboration: Work closely with development and operations teams to improve system reliability and performance.

Capacity Planning: Conduct capacity planning and performance tuning to ensure systems can handle future growth.

Documentation: Create and maintain comprehensive documentation for system configurations, processes, and procedures.

Qualifications:

Education: Bachelor’s degree in computer science, Engineering, or a related field.

Experience: 3+ years of experience in site reliability engineering or a similar role.

Skills:

Proficiency in Google Cloud services (Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc.).

Familiarity with Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.)

Experience with automation tools (Terraform, Ansible, Puppet).

Familiarity with CI/CD pipelines and tools (Azure pipelines Jenkins, GitLab CI, etc.).

Strong scripting skills (Python, Bash, etc.).

Knowledge of networking concepts and protocols.

Experience with monitoring tools (Prometheus, Grafana, etc.).

Preferred Certifications:

Google Cloud Professional DevOps Engineer

Google Cloud Professional Cloud Architect

Red Hat Certified Engineer (RHCE) or similar Linux certification

Job Tags

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