Cloud Engineer : Python and GCP

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Written by AI from the job title and company, not by DataPecan, so some details may not match this job. The employer's own page has the real description.

Job Overview

DataPecan is seeking a highly skilled Cloud Engineer with expertise in Python and Google Cloud Platform (GCP). In this role, the candidate will be responsible for designing, implementing, and maintaining cloud infrastructure solutions that meet the needs of our clients. The Cloud Engineer will collaborate with cross-functional teams to ensure efficient cloud operations, optimize performance, and address any technical challenges that arise, supporting the company's mission to deliver scalable and cost-effective cloud services.

Job Responsibilities

• Design, implement, and manage cloud infrastructure on Google Cloud Platform (GCP).
• Develop automation scripts in Python for deployment, monitoring, and management of cloud resources.
• Monitor system performance, troubleshoot issues, and implement necessary improvements to enhance efficiency.
• Collaborate with software developers, data engineers, and system administrators to ensure seamless integration and operation.
• Conduct regular security assessments and apply best practices to safeguard cloud environments.
• Assist in migrating existing applications and workloads from on-premises to the cloud.
• Implement cost management strategies and optimize cloud spending.
• Document technical specifications and maintain detailed records of infrastructure configurations and changes.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience working with cloud services, specifically Google Cloud Platform (GCP).
• Strong proficiency in Python programming, including experience with cloud automation and application deployment.
• Solid understanding of cloud architecture, networking concepts, and security practices.
• Experience with containerization technologies, such as Docker and Kubernetes.
• Familiarity with DevOps practices and tools for Continuous Integration/Continuous Deployment (CI/CD).
• Excellent problem-solving skills and ability to work independently or as part of a team.
• Strong communication skills, both written and verbal.

Technologies & Tools

The Cloud Engineer will work with a variety of technologies and tools in this position. Key tools include Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, and Cloud Functions. The role also requires proficiency in Python and familiarity with version control systems like Git, container orchestration tools such as Kubernetes, and infrastructure-as-code tools like Terraform or Cloud Deployment Manager.

Ideal Candidates

The ideal candidate for this position is a proactive and detail-oriented individual who is passionate about cloud computing and continuous learning. They should have a strong technical foundation and the ability to adapt to new technologies quickly. A successful Cloud Engineer at DataPecan is someone who thrives in a fast-paced environment, works effectively under pressure, and possesses strong collaboration skills. They are also committed to delivering high-quality solutions and providing exceptional support to internal teams and external clients.