Role: Dev/Support Engineer

Location: Remote/Canada

Duration: 6-12+ Months

Job Description:

Primary skills would be python and GCP and secondary Devops with terraform experience.

We are seeking a motivated Dev/Support Engineer with strong experience in Google Cloud, Python, and Terraform to join our dynamic team. In this role, you will contribute to the development, deployment, and support of cloud-based applications and infrastructure, ensuring high availability and performance.

Key Responsibilities:

• Development & Support: Collaborate with cross-functional teams to design, develop, and maintain applications on Google Cloud. Provide support and troubleshooting for existing systems.

• Cloud Infrastructure Management: Utilize Terraform to provision and manage cloud infrastructure, ensuring best practices in scalability, security, and cost-effectiveness.

• Scripting & Automation: Write and maintain Python scripts for automation of deployment processes, monitoring, and performance optimization.

• Monitoring & Troubleshooting: Implement monitoring solutions to ensure system reliability and performance. Diagnose and resolve issues in a timely manner.

• Documentation: Create and maintain technical documentation for processes, systems, and procedures to ensure knowledge sharing within the team.

• Continuous Improvement: Identify opportunities for process improvements and implement solutions to enhance operational efficiency.

Qualifications:

• Hands-on experience in a DevOps or support role, with a focus on cloud technologies.

• Strong experience with Google Cloud Platform (GCP) services and architecture.

• Proficiency in Python for scripting and automation.

• Hands-on experience with Terraform for infrastructure as code.

• Familiarity with CI/CD pipelines and related tools.

• Excellent problem-solving skills and the ability to work collaboratively in a team environment.

• Strong communication skills, both verbal and written.

Preferred Qualifications:

• Relevant certifications in Google Cloud or DevOps practices.

• Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.

#L!-CEIPAL