Role Summary Provide L3 technical ownership for Google Cloud Platform (GCP) environments, focusing on complex incident resolution, root cause analysis, production stability, performance optimization, and technical guidance for L1/L2 teams. The role requires strong hands-on GCP engineering experience, cloud operations mindset, and the ability to coordinate with client stakeholders and cross-functional teams. Good English (communication smoothly) Working mode: WFO / Hybrid depending on project arrangement

Key Responsibilities
• Own and resolve complex L3 production incidents across GCP services, data platforms, integrations, and cloud infrastructure.
• Perform deep root cause analysis (RCA) and drive permanent fixes for recurring issues.
• Review and improve cloud architecture, operational runbooks, monitoring, alerting, and incident response processes.
• Troubleshoot performance, reliability, networking, IAM, deployment, and service availability issues.
• Support release/deployment activities and provide technical validation for production changes.
• Guide L1/L2 support teams on escalation handling, investigation approach, and knowledge transfer.
• Collaborate with application, data, DevOps, security, and client teams to resolve cross-system issues.
• Maintain technical documentation, KB articles, RCA reports, and operational improvement plans. Required Skills & Experience
• Strong hands-on experience with Google Cloud Platform (GCP) in production environments.
• Solid knowledge of core GCP services such as Compute Engine, GKE, Cloud Run, Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Dataflow, Cloud Composer, Cloud SQL, and VPC networking.
• Experience troubleshooting IAM, service accounts, networking, firewall rules, load balancing, DNS, logging, monitoring, and quota/resource issues.
• Strong scripting and automation skills using Python, Bash, Terraform,



or similar tools.
• Experience with CI/CD pipelines, cloud deployments, rollback handling, and release support.
• Familiarity with observability tools such as Google Cloud Monitoring, Cloud Logging, Dynatrace, Grafana, or Prometheus.
• Strong understanding of production support processes, SLA management, incident/problem/change management.
• Ability to analyze logs, metrics, traces, and system behavior to identify root causes.
• Good English communication skills; able to discuss technical topics directly with client stakeholders. Preferred Skills
• GCP certification such as Professional Cloud Architect, Professional Cloud DevOps Engineer, or Qualified Data Engineer.
• Experience with Kubernetes/GKE, containerized workloads, and microservices operations.
• Experience in data engineering platforms using BigQuery, Dataflow, Dataproc, Composer/Airflow, or dbt.
• Knowledge of security best practices: IAM least privilege, secret management, encryption, audit logging, and compliance controls.
• Experience working in retail, supply chain, warehouse, or enterprise integration systems. Qualifications
• 5+ years of IT experience, including 3+ years working hands-on with GCP production systems.
• Proven experience in L3 support, cloud operations, SRE, DevOps, or platform engineering roles.
• Strong analytical mindset and ability to work under pressure during critical incidents.
• Clear communication, ownership mindset, and ability to coordinate across multiple teams.
• Experience working with ticketing tools such as ServiceNow, Jira, or equivalent. Expected Outcomes
• Faster resolution of critical GCP production incidents.
• Reduced recurring issues through RCA and permanent corrective actions.
• Improved system reliability, monitoring coverage, and operational documentation.
• Better enablement for L1/L2 teams through knowledge sharing and runbook improvement.

📌 Senior Data Engineer (Hyderabad)
🏢 FPT Software
📍 Hyderabad