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Site Reliability Engineer - Google Cloud Platform

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Jobs via Dice
Job Type   /   Job Level
Full-time   /   Others/Any
Company Location
United States of America
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Alliance Sourcing Network, is seeking the following. Apply via Dice today!

Onsite in Parsippany, NJ

Job Description: Site Reliability Engineer

We are looking for a talented Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (Google Cloud Platform) and kubernetes. 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: 4+ 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. (Service mesh experience a plus)

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

Preferred Certifications:

Google Cloud Professional DevOps Engineer

Google Cloud Professional Cloud Architect
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