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GCP Cloud Engineer

Exclusive opportunity

Onsite

GCP Cloud Engineer

Neev Group Of Companies

GCP Cloud Engineer

Skills

Google Cloud PlatformPythonDevOpsRedisAIKubernetesTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Kolkata, West Bengal, India

Work mode:

Onsite

Published on:

24 August 2026

What they need


Job Title : GCP Cloud Engineer - Immediate joiner only!

JR Number 1483468 / 886128

Client Interview if Any No

Duration of Contract 13 Months

Location Pan India

No of Contractors required 1

Years of Experience 8+ Years

Any Project specific Prerequisite skills GKE, Cloud Workflows, YAML/JSON configuration

Detailed JD

Role Summary We are looking for GCP cloud engineer who Own applicationlevel cloud engineering and operational activities across Google Cloud Platform services supporting Pricing Engine 20 BidIQ Guidance Engine and Enabler Switch applications This role is not responsible for underlying cloud infrastructure provisioning but collaborates with infrastructure teams for platform level troubleshooting

Mandatory Skills

  • GCP Platform Services

  • Google Kubernetes Engine GKE

  • Cloud Scheduler

  • Cloud Workflows

  • Google Cloud Operations Suite

  • Cloud Logging

  • Cloud Monitoring

  • Kubernetes Administration

    • Deployment management
    • Pod troubleshooting
    • Service troubleshooting
    • ConfigMap and Secret management
    • Helm deployments
    • YAML configuration management
    • Autoscaling concepts
  • Configuration Automation

    • YAMLJSON configuration
  • CICD deployment support

    • Application deployment troubleshooting
    • Runtime optimization
    • Capacity tuning
  • AMS Operations

    • Incident management
    • Problem management
    • RCA
    • Release support
    • Operational reporting
    • Production support
  • Scripting

    • BashShell
    • Python preferred

Good to Have Skills

  • Terraform awareness
  • Apigee
  • Redis
  • AlloyDB
  • Dataflow
  • PubSub
  • DevSecOps practices
  • FinOps Cloud Cost Optimization
  • AI platform deployment exposure

Key Responsibilities

  • Manage applicationspecific artifacts on Kubernetes Scheduler and Workflow services
  • Troubleshoot pod deployment and service failures
  • Recover failed schedulers and workflows
  • Optimize application configurations for performance and cost
  • Support deployments and postdeployment stabilization
  • Collaborate with Infrastructure teams for cloud platform issues
  • Maintain operational runbooks and cloud support procedures
  • Perform cloud capacity planning and environment health reviews
  • Support 24x7 operational readiness for businesscritical applications

Skills

  • Mandatory Skills : Cloud testing, GKE

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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