Job Opprtunity : Cloud (GCP) Engineer III - IN

Rackspace Technology; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A cloud services provider is seeking a highly skilled Level 3 GCP Support Engineer with at least 5 years of experience. The role involves providing advanced technical support for critical cloud environments on GCP. Responsibilities include incident management, GCP administration, and automation using Terraform. Candidates should have an active Google Cloud certification and strong troubleshooting skills. This position offers a full-time employment opportunity based in India.

Qualifications

• Minimum 5+ years of hands-on experience in Google Cloud Platform support and administration.
• Strong understanding of GCP architecture, security, and container services.
• Experience with 24×7 support and production-critical workloads.

Responsibilities

• Act as primary escalation point for complex incidents in GCP.
• Plan and implement controlled changes following ITIL processes.
• Monitor and optimize core GCP services and performance.

Skills

GCP support

Incident management

Automation with Terraform

Troubleshooting

Cloud security best practices

Education

Active Google Cloud certification

Tools

Terraform

CI/CD tools

Python

Job description

Job Opportunity : Cloud (GCP) Engineer III - IN

Experience Required: Minimum 5+ years of relevant GCP support & administration experience. Total experience can be more, but 5 years of experience in GCP is must.

Certification Required: At least one active Google Cloud certification (e.g., Associate Cloud Engineer, Professional Cloud Architect, Professional Cloud DevOps Engineer etc.)

Job Summary

We are looking for a highly skilled Level 3 GCP Support Engineer responsible for providing advanced technical support, incident management, and change management for mission-critical cloud environments hosted on Google Cloud Platform (GCP). The ideal candidate will have deep hands‑on expertise across GCP services, strong automation and IaC skills with Terraform, and the ability to troubleshoot complex multi‑layer cloud infrastructure issues.

Key Responsibilities

• 1. Incident Management (L3 Escalation)
• Act as the primary escalation point for complex incidents requiring deep technical analysis
• Troubleshoot and resolve priority P1/P2 issues related to compute, storage, networking, databases, IAM, Kubernetes (GKE), logging/monitoring, and cloud security
• Perform detailed root cause analysis (RCA) and implement permanent fixes to avoid repeat incidents
• Liaise with Google Cloud Support to escalate vendor‑level issues where necessary
• Ensure SLAs, SLOs, and incident response times are consistently met
• 2. Change Management
• Plan, validate, and implement controlled changes in production and non‑production environments following ITIL processes
• Perform impact analysis, risk assessment, and rollback planning for all assigned changes
• Maintain change documentation and ensure compliance with organizational and audit standards
• 3. GCP Administration & Operations
• Manage, configure, and optimize core GCP services—Compute Engine, Cloud Storage, VPC, Cloud SQL, Cloud Run, GKE, Load Balancers, Cloud Functions, and IAM
• Monitor platform performance and troubleshoot reliability, performance, and capacity issues
• Implement cost optimization strategies and assist with budget and quota management
• Maintain logging, monitoring, and alerting via Cloud Monitoring, Cloud Logging, and third‑party tools
• 4. Infrastructure as Code (Terraform)
• Build, maintain, and enhance infrastructure‑as‑code (IaC) templates using Terraform
• Standardize deployments and enforce modular, reusable Terraform code structures
• Integrate Terraform with CI/CD pipelines for automated provisioning
• Conduct security and compliance reviews for Terraform builds and cloud resources
• 5. Automation & Process Improvement
• Develop scripts and automations using Python, Bash, or Cloud‑native tools to reduce manual operational overhead
• Identify opportunities for service improvements and drive optimization initiatives
• Create runbooks, SOPs, and automation frameworks to streamline repeated tasks
• 6. Security & Compliance
• Implement and maintain GCP security best practices, including IAM least privilege, VPC security, firewall rules, CMEK, and security posture management
• Assist in internal/external audits and ensure cloud environment compliance with organizational policies
• Monitor and respond to security alerts, vulnerabilities, and threats
• 7. Documentation & Knowledge Sharing
• Maintain comprehensive documentation for infrastructure, procedures, incident reports, and change logs
• Mentor junior engineers (L1/L2) and conduct knowledge transfer sessions
• Contribute to technical architecture reviews and best‑practice recommendations

Required Qualifications

• Minimum 5+ years of hands‑on experience in Google Cloud Platform support and administration
• Strong understanding of GCP architecture, networking, security, IAM, compute, storage, and container services
• Proven experience handling 24×7 support, on‑call rotations, and production‑critical workloads
• Advanced proficiency with Terraform for IaC, including modules, workspaces, and GCP providers
• Hands‑on experience with CI/CD tools such as Cloud Build, Jenkins, GitLab, or GitHub Actions
• Strong troubleshooting skills across Linux, networks, APIs, and cloud‑native services
• At least one active GCP Associate/Professional certification is mandatory
• Deep understanding of ITIL processes (Incident, Problem, Change Management)
• Strong communication, analytical thinking, and technical documentation skills

Preferred Skills (Good To Have)

• Experience with Kubernetes/GKE cluster operations and troubleshooting
• Familiarity with monitoring and observability tools (Datadog, Prometheus, Grafana, ELK, etc.)
• Python/Go scripting experience

Soft Skills

• Strong problem‑solving and analytical skills
• Ability to work independently under pressure
• High sense of ownership and accountability
• Excellent verbal and written communication for customer‑facing scenarios

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Seniority level

• Not Applicable

Employment type

• Full‑time

Job function

• Other
• IT Services and IT Consulting

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