Remote Sr Cloud Automation Engineer with AI experience

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Overview

The Remote Senior Cloud Automation Engineer with AI Experience at Acetech Group Corporation is responsible for designing, implementing, and managing automated cloud solutions to optimize performance, scalability, and cost-effective usage of cloud resources. This role involves collaborating with cross-functional teams to develop AI-driven automation tools, ensuring robust cloud infrastructure, and driving continuous improvement in deployment processes. The ideal candidate will leverage their technical expertise and innovative thinking to enhance system efficiencies and contribute to the advancement of our cloud automation strategies.

Job Responsibilities

• Design, implement, and maintain automated cloud infrastructure solutions using Infrastructure as Code (IaC) principles.
• Develop and integrate AI tools to enhance cloud infrastructure automation and operational efficiencies.
• Collaborate with DevOps and development teams to streamline deployment processes and improve CI/CD pipelines.
• Monitor, troubleshoot, and optimize cloud resources for performance and cost-effectiveness.
• Implement security best practices in cloud environments to safeguard sensitive data.
• Document automation processes, technical specifications, and system architecture for reference and compliance.
• Stay abreast of cloud technology trends and innovations to ensure that the organization leverages the best available solutions.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• A minimum of 5 years of experience in cloud engineering, automation, and DevOps.
• Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Experience with AI tools and machine learning frameworks for automation purposes.
• Proficiency in scripting and programming languages such as Python, Bash, or PowerShell.
• In-depth understanding of containerization technologies like Docker and Kubernetes.
• Excellent problem-solving skills and the ability to work independently in a remote environment.

Technologies & Tools

In this role, the candidate will work with a variety of technologies and tools, including but not limited to AWS, Azure, Google Cloud Platform (GCP), Terraform, Ansible, Jenkins, Docker, Kubernetes, and various AI and machine learning frameworks. Familiarity with observability and monitoring tools such as Prometheus, Grafana, and CloudWatch will also be beneficial to ensure optimal performance and security of cloud platforms.

Ideal Candidates

Ideal candidates for the Remote Senior Cloud Automation Engineer position will demonstrate strong analytical capabilities, attention to detail, and a proactive approach to problem-solving. They will possess excellent communication skills and the ability to collaborate effectively within a diverse team environment. A passion for innovation, continuous learning, and a commitment to best practices in cloud technologies will further enhance their suitability for this role. Additionally, the ability to adapt to fast-paced changes in technology will be crucial in meeting the evolving demands of the industry.