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The GCP Lead Engineer role at NTT DATA involves managing cloud administration and GCVE infrastructure, requiring strong expertise in Linux and cloud technologies. Candidates should have over 7 years of operational experience and be proficient in automation and scripting tools. Preferred certifications include AWS and Azure credentials. Excellent communication and teamwork skills are essential for success in this role.
Job Responsibility:
Manage and support cloud administration, GCVE infrastructure, OS/server patching, maintenance, and troubleshooting
Work across multiple cloud platforms with a proactive and solution-oriented approach
Participate in on-call rotations and handle P1/P2 incidents and escalations effectively
Develop and maintain knowledge base (KB) articles, problem management documentation, SOPs, and runbooks
Provide mentorship and support to L1 support teams
Deliver timely, high-quality customer service with strong ownership and accountability
Work independently in project environments while collaborating effectively with cross-functional teams
Requirements:
Proven experience in Linux/UNIX/AIX troubleshooting with a strong foundation in system administration and performance tuning
Hands-on experience in installing, configuring, and maintaining Linux servers (RHEL, CentOS, Ubuntu, SUSE)
Proficiency in High Availability (HA) configuration and management using Pacemaker (PCS & CRM) Clusters
Expertise in OS patching using cloud-native tools such as Azure AUM, AWS Patch Manager, and GCP VM Manager
Solid understanding of networking and performance troubleshooting
Working knowledge of VMware in GCVE (Google Cloud VMware Engine)
Experience with Red Hat Satellite, SUSE Manager, Oracle Linux Manager, and Oracle Spacewalk
Exposure to containerization and orchestration tools like Docker, Kubernetes, and OpenShift (preferred)
Familiarity with automation and scripting tools such as Shell scripting, Ansible, Python, or any cloud-native shell
Strong grasp of ITSM/ITIL processes
certification is an added advantage
Excellent communication, teamwork, and interpersonal skills are essential
7+ years of overall operational experience
3+ years of experience working in a diverse cloud support environment in a 24*7 production support model
Nice to have:
Exposure to containerization and orchestration tools like Docker, Kubernetes, and OpenShift (preferred)