Direct client: Site Reliability Engineer in Parsippany, NJ - Long Term

[BIsol Recruiter]

Site Reliability Engineer

Parsippany, NJ

Long Term

Vertex AI Exp must

 

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
vertex AI exp must