Site Reliability Engineer - Lead (Google Cloud Platform) with VertexAI

Overview

On Site
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

GCP
bigQuery
vertex AI
terraform
GKE
linux admin
alloyDB

Job Details

This is a Hybrid Work Model (3x a week Onsite) and Location is Parsippany, NJ.

 

We are looking for a talented Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (Google Cloud Platform), 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

 

Thanks & Regards

Srinivas

Sr Technical Recruiter

BI Solutions, Inc

5048 Tennyson Pkwy, Plano, TX 75024

 

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