GCP Cloud Engineer - Immediate joiner only!

Neev; Mumbai; On-site; INR 2,500,000 - 4,500,000; Part time

Job summary

Neev is seeking an experienced GCP Cloud Engineer to own application-level cloud engineering and operations across Google Cloud Platform services. You will collaborate with infrastructure teams for platform-level troubleshooting while focusing on pricing engines and guidance services.

The role emphasizes managing Kubernetes artifacts, troubleshooting deployments, optimizing configurations for performance and cost, and supporting deployments and post-deployment stabilization.

Qualifications

• 8+ years of experience in cloud engineering with GCP
• Experience with Kubernetes, GKE, and cloud-native services
• Experience with CI/CD and automations

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

Skills

GCP Platform Services

GKE

Cloud Scheduler

Cloud Workflows

Google Cloud Operations Suite

Cloud Logging

Cloud Monitoring

Kubernetes Administration

Bash scripting

Python scripting

Tools

Terraform

Apigee

Redis

AlloyDB

Dataflow

Pub/Sub

Job description

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

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