Lead Cloud Engineer / Senior Consultant Specialist

In this role, you will:

1.      Cloud Infrastructure Management:

·       Manage and monitor Google Cloud Platform (GCP) services and components.

·       Design and implement automated deployment pipelines for application releases.

·       Ensure high availability, scalability, and security of cloud resources.

2.      CI/CD Pipeline Implementation:

·       Build and maintain continuous integration and continuous deployment (CI/CD) pipelines.

·       Collaborate with developers to streamline application deployment processes.

·       Automate testing, deployment, and rollback procedures.

3.      Infrastructure as Code (IaC):

·       Use tools like Terraform to define and manage infrastructure.

·       Maintain version-controlled infrastructure code.

·       Ensure consistency across development, staging, and production environments.

4.      Monitoring and Troubleshooting:

·       Monitor system performance, resource utilization, and application health.

·       Troubleshoot and resolve issues related to cloud infrastructure and deployment pipelines.

·       Implement proactive monitoring and alerting mechanisms.

5.      Security and Compliance:

·       Apply security best practices to protect cloud resources.

·       Ensure compliance with industry standards and internal policies.

·       Collaborate with security teams to address vulnerabilities.

6.      Collaboration and Documentation:

·       Work closely with development, operations, and QA teams.

·       Document infrastructure architecture, processes, and configurations.

·       Share knowledge and best practices with team members.

To be successful in this role you should meet the following requirements: 

·       Education: Bachelor’s degree in Computer Science, Information Technology, or related field.

·       Experience:

o   Minimum of 5 years of industry experience, including at least 1 year designing and managing production systems using Google Cloud.

o   Familiarity with GCP services (Compute Engine, Kubernetes Engine, Cloud Storage, etc.).

o   Exposure to containerization (Docker, Kubernetes) and microservices architecture.

Skills:

·       Proficiency in Python or Bash scripting for automation.

·       Strong understanding of DevOps principles and practices.

·       Knowledge of Jenkins or other CI/CD tools.

·       Experience with GKE (Google Kubernetes Engine) for container orchestration.

·       Familiarity with event streaming platforms (e.g., Kafka, Google Cloud Pub/Sub).