Senior Site Reliability Engineer

3 weeks ago

Pune, Maharashtra, India NTT DATA Services Full time

Senior Site Reliability Engineer (Remote)

Who We Are:​  

At NTT DATA America's, we are committed to hiring innovative and passionate individuals eager to contribute and grow with us. Launch by NTT DATA represents our strategic initiative to integrate the expertise and technology of leading digital firms, leveraging NTT DATA's global reach and core strengths.  

We are looking for a talented Senior Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP), Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.) and RedHat OpenShift administration. The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premises and cloud-based systems along with focus on reducing costs for Google Cloud. 

Duties and responsibilities: 

  • 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: 

  • 5+ years of experience in site reliability engineering or a similar role. 

    • 5+ years with proficiency in Google Cloud services (Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc.). 

      • 5+ years of experience with Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.) 

        • 5+ years of experience with automation tools (Terraform, Ansible, Puppet). 

          • 5+ years of experience with CI/CD pipelines and tools (Azure pipelines Jenkins, GitLab CI, etc.). 

            • 5+ years of strong scripting skills (Python, Bash, etc.). 

              • 3+ years of previous experience with networking concepts and protocols. 

                • 3+ years of experience with monitoring tools (Prometheus, Grafana, etc.). 

Preferred: 

  • Google Cloud Professional DevOps Engineer 

    • Google Cloud Professional Cloud Architect 

      • Red Hat Certified Engineer (RHCE) or similar Linux certification 

        • Bachelor's degree in computer science, Engineering, or a related field. 

Please note Shift Timing Requirement: 1:30pm IST -10:30 pm IST

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