Site Reliability Engineer - Parsippany, NJ (Local Only)

[Sid K]

Hi Folks,

My client is looking for Site Reliability Engineer for 12 Month Contract role based in Parsippany, NJ (Onsite)

 

Position: Site Reliability Engineer

Location:  Parsippany, NJ (Local Only)

Duration: 12 Month Contract

POSITION OVERVIEW : Site Reliability Engineer

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

 

POSITION GENERAL DUTIES AND TASKS :

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

Thanks 
Sid