Job Description

Job Summary:

As a Google Cloud Infrastructure / DevOps Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure while ensuring efficient development operations. Your role bridges the gap between development and operations, focusing on automation, scalability, and reliability. You'll collaborate with cross-functional teams to optimize our systems and enhance delivery pipelines.

Responsibilities:

Cloud Infrastructure Management: + Manage and monitor Google Cloud Platform (GCP) services and components.
+ Ensure high availability, scalability, and security of cloud resources.
CI/CD Pipeline Implementation:

Design and implement automated deployment pipelines for application releases. 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.
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.
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.
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.
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.

Qualifications:

Education:

Bachelor's degree in Computer Science, Information Technology, or related field.

Experience:

Minimum of 3 years of industry experience, including at least 1 year designing and managing production systems using Google Cloud. Familiarity with GCP services (Compute Engine, Kubernetes Engine, Cloud Storage, etc.). Exposure to containerization (Docker, Kubernetes) and microservices architecture.

Skills:

* Proficiency in Python or Bash scripting for automation.