Cloud Engineer

4 - 9 years

3 - 7 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.
You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.
Your Key Responsibilities
  1. Cloud Infrastructure Design & Management

  • Deploy, and maintain GCP cloud resources via terraform/other automation.
  • Implement

    Google Cloud Storage, Cloud SQL, filestore, for

    data storage and processing needs.
  • Manage and configure

    Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy)

    for high availability and scalability.
  • Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
  1. Kubernetes & Container Orchestration

  • Deploy, manage, and optimize workloads on

    Google Kubernetes Engine (GKE)

    .
  • Work with

    Helm charts, Istio, and service meshes

    for microservices deployments.
  • Automate scaling, rolling updates, and zero-downtime deployments.
  1. Serverless & Compute Services

  • Deploy and manage applications on

    Cloud Run

    and

    Cloud Functions

    for scalable, serverless workloads.
  • Optimize containerized applications running on

    Cloud Run

    for cost efficiency and performance.
  1. CI/CD & DevOps Automation

  • Design, implement, and manage CI

    /CD pipelines using Azure DevOps

    .
  • Automate infrastructure deployment using

    Terraform, Bash and Powershell scripiting

  • Integrate security and compliance checks into the DevOps workflow (DevSecOps).
Your skills and experience that will help you excel

Experience:

4+ years in Cloud Engineering, with a focus on

GCP

.

Cloud Expertise:

Strong knowledge of

GCP services

(GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

Kubernetes & Containers:

Experience with

GKE, Docker, GKE Networking, Helm.

DevOps Tools:

Hands-on experience with

Azure DevOps

for CI/CD pipeline automation.

Infrastructure-as-Code (IaC):

Expertise in

Terraform

for provisioning cloud resources.

Scripting & Automation:

Proficiency in

Python, Bash, or PowerShell

for automation.

Security & Compliance:

Knowledge of cloud security principles, IAM, and compliance standards.

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