Devops Engineer

Relevantz Technology Services; Pune District, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Relevantz Technology Services is seeking an experienced GCP Cloud Engineer to design, implement, and manage scalable cloud solutions on Google Cloud Platform, with hands-on experience in GKE, Cloud Run, Terraform and Azure DevOps.

You will focus on IaC, automation, security, and cost optimization, deploying CI/CD pipelines with Azure DevOps and integrating monitoring and compliance into operations.

Qualifications

• 4+ years in Cloud Engineering with a focus on GCP.
• Strong knowledge of GCP services such as GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions.
• Experience with GKE, Docker, GKE Networking, Helm.
• Hands-on experience with Azure DevOps for CI/CD.
• Terraform for provisioning cloud resources (IaC).
• Proficiency in Python, Bash, or PowerShell for automation.

Responsibilities

• Architect, deploy, and maintain GCP resources via Terraform/automation.
• Deploy and manage GKE workloads and Helm charts.
• Implement Cloud Run and Cloud Functions for serverless workloads.
• Design and manage CI/CD pipelines using Azure DevOps; automate infra deployments.

Skills

GCP

Cloud engineering

IaC

Kubernetes

Azure DevOps

Scripting

Tools

Terraform

Docker

Helm

GKE

Cloud Run

Cloud Functions

Job description

Job Summary:

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage scalable, secure, and reliable cloud solutions on Google Cloud Platform (GCP).

The ideal candidate should have strong hands-on experience with Google Kubernetes Engine (GKE), Cloud Run, Cloud Load Balancing, Cloud Functions, Azure DevOps, and Terraform,

with a strong focus on Infrastructure as Code (IaC), automation, security, scalability, and operational best practices.

Experience working with AWS will be considered an added advantage.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, 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.

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero-downtime deployments.

3. 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.

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

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.