Position: GCP DevOps Engineer
Experience: 5+ Years
Location: Remote
Job Summary
We are seeking an experienced GCP DevOps Engineer with strong expertise in Google Cloud Platform (GCP), infrastructure automation, CI/CD implementation, and container orchestration. The ideal candidate will be responsible for designing, deploying, automating, and maintaining scalable cloud infrastructure and DevOps practices on GCP.
Key Responsibilities
Design, implement, and manage cloud infrastructure on Google Cloud Platform (GCP).
Develop and maintain Infrastructure as Code (IaC) using Terraform.
Configure and manage GCP Networking and Identity & Access Management (IAM).
Build, optimize, and maintain CI/CD pipelines for application deployment.
Manage and support Kubernetes workloads using Google Kubernetes Engine (GKE).
Develop automation scripts using Shell Scripting and/or Python.
Monitor, troubleshoot, and optimize cloud environments for performance, security, and reliability.
Collaborate with development, QA, and operations teams to streamline deployment processes.
Implement security best practices and ensure compliance across cloud environments.
Mandatory Skills
GCP Networking & IAM
Terraform
Shell Scripting / Python Scripting
CI/CD Pipelines
Google Kubernetes Engine (GKE)
Secondary Skills
Cloud Composer
BigQuery
Dataproc
GCP Networking
Preferred Certifications
Any of the following GCP certifications are highly desirable:
Professional Cloud DevOps Engineer
Professional Cloud Security Engineer
Professional Cloud Network Engineer
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, or related field.
Minimum 5 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
Strong understanding of cloud-native architecture and DevOps best practices.
Experience with automation, monitoring, and deployment tools.
Soft Skills
Excellent verbal and written communication skills.
Strong analytical and problem-solving abilities.
Team-oriented with a collaborative mindset.
Ability to work in a fast-paced environment and manage multiple priorities.
Pay: ₹1,100,000.00 - ₹1,500,000.00 per year
Work Location: Remote
