Overview

Please find the Detailed JD below.

Responsibilities

• - Proficiency in at least one scripting language (e.g., Python, Bash, Go). - Experience with CI/CD tools (e.g., Cloud
• Build, Jenkins, GitLab CI).

Qualifications

• Cloud Infrastructure Design & Implementation:
• Design, deploy, and manage scalable, highly available, and fault-tolerant cloud infrastructure on GCP using services such as Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, Cloud Storage, VPC, Cloud Load Balancing, and Cloud DNS.
• Implement Infrastructure as Code (IaC) using tools like Terraform or Google Cloud Deployment Manager to automate the provisioning and management of GCP resources.
• Develop and maintain robust CI/CD pipelines for deploying applications and infrastructure to GCP.
• Platform Operations & Optimization:
• Monitor, troubleshoot, and optimize the performance, cost, and availability of GCP resources and applications using Google Clouds operations suite (Cloud Monitoring, Cloud Logging, Cloud Trace, Cloud Profiler).
• Implement and manage disaster recovery and backup strategies for cloud-based systems.
• Identify and implement cost-optimization strategies for GCP resources.
• Security & Compliance:
• Implement and enforce security best practices within GCP environments, including Identity and Access Management (IAM), network security policies, data encryption, and vulnerability management.
• Ensure compliance with relevant industry standards and internal security policies.
• Collaboration & Support:
• Collaborate closely with development, DevOps, and architecture teams to define cloud solutions, integrate applications, and ensure adherence to best practices.
• Provide technical expertise and support for cloud-based applications, troubleshooting issues, and ensuring timely resolution.
• Document cloud infrastructure, configurations, and operational procedures.
• Innovation & Continuous Improvement:
• Stay up-to-date with the latest GCP services, features, and best practices.
• Proactively identify opportunities for automation, efficiency improvements, and innovation within the cloud environment.
• Education: Bachelors degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).
• Experience: 5+ years of hands-on experience designing, deploying, and managing solutions on Google Cloud Platform.
• GCP Expertise:
• In-depth knowledge and hands-on experience with core GCP services (e.g., Compute Engine, GKE, Cloud SQL, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Pub/Sub).
• Strong understanding of cloud architecture principles (scalability, reliability, security, cost optimization).
• Infrastructure as Code (IaC):
• Proficiency with Terraform for managing GCP infrastructure.
• Experience with configuration management tools (e.g., Ansible, Puppet, Chef) is a plus.
• Containerization & Orchestration:
• Strong understanding of Docker and Kubernetes.
• Hands-on experience with Google Kubernetes Engine (GKE).
• Scripting & Automation:

Nice to have

• Google Cloud Professional Data Engineer certification.
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI).
• Familiarity with CI/CD pipelines for data engineering workflows.
• Knowledge of data governance frameworks and tools.
• Experience with real-time data processing and streaming architectures.
• Basic understanding of machine learning concepts and how to operationalize ML models.