| SRE F2F at Remote, Remote, USA |
| Email: [email protected] |
| From: Rahul Singh, Tek Inspirations LLC [email protected] Reply to: [email protected] Site Reliability Engineer Location: Onsite in Parsippany-Troy Hills, NJ (Local Candidates Only) Duration: 6+ Months Visa: USC/GC/GC EAD/ H4 MOI: F2F Need Proper Linkedin and Strong Candidates Only Please make sure with candidates are comfortable with In person Interview 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 Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence green card New Jersey SRE F2F [email protected] |
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| Mon Dec 09 23:04:00 UTC 2024 |