Cloud Engineer

November 2

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Logo of Arlo Solutions

Arlo Solutions

Cyber Security β€’ Management Consulting β€’ IT Services Management β€’ Policy β€’ Government Contracting

Description

β€’ Company Summary β€’ Arlo Solutions is an IT consulting company delivering technology solutions. β€’ Position Overview β€’ Support NOAA Fisheries' Cloud Program by managing cloud infrastructure and developing AI/ML capabilities. β€’ Job Responsibilities and/or Success Factors β€’ Implement a centralized management platform for cloud visibility and control. β€’ Leverage Infrastructure as Code (IaC) for automation. β€’ Design and implement scalable cloud infrastructure. β€’ Oversee cost management tools and utilization. β€’ Develop cloud-based AI capabilities and ML models. β€’ Implement monitoring to maintain compliance with security controls. β€’ Maintain documentation standards and version control. β€’ Develop and implement robust data governance frameworks.

Requirements

β€’ Current Public Trust or the ability to obtain a Public Trust clearance is required. β€’ Bachelor's degree in Computer Science, Information Technology, or a related field. β€’ Proven experience in cloud engineering, AI/ML development, and cloud operations. β€’ Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. β€’ Professional or Associate level cloud certification from major cloud service provider (AWS, Azure, or Google Cloud) β€’ Strong knowledge of Infrastructure as Code (IaC) tools like Terraform or CloudFormation. β€’ Experience with cloud migration tools and techniques. β€’ Familiarity with AI/ML frameworks and tools such as TensorFlow, PyTorch, or similar. β€’ Strong understanding of security controls and compliance requirements. β€’ Excellent problem-solving skills and ability to work collaboratively with stakeholders. β€’ Strong communication skills and ability to document technical processes clearly. β€’ Experience working with government agencies or in a regulated environment. β€’ Certifications in cloud platforms. β€’ Experience with data governance frameworks and best practices.

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