Remote Cloud Engineer

Summary

Join Arlo Solutions as a Cloud Engineer to support the NOAA National Marine Fisheries Service Cloud Program Office Initiative. The successful candidate will implement and manage cloud infrastructure, develop AI/ML capabilities, migrate workloads, and ensure security and operational efficiency of the cloud platform.

Requirements

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

Responsibilities

• Implement and manage a centralized management platform to provide visibility and control over the cloud environment
• Leverage Infrastructure as Code (IaC) to automate resource deployment and employ workload orchestration tools
• Design and implement scalable cloud infrastructure to support rapid prototyping and development of AI/ML solutions
• Create cloud cost plans using CSP-provided tools (i.e., Google Cloud pricing calculator)
• Oversee cost management tools and utilization
• Migrate, configure, and deploy virtual networks according to design specifications
• Configure network connections, firewalls, and load balancers provided by the government
• Utilize cloud migration tools to facilitate the transfer of applications and manage data storage, replication, and governance
• Develop cloud-based AI capabilities and Machine Learning models
• Integrate diverse data types (images, documents, video, audio) to support AI development
• Utilize open-source technologies and cloud-based tools to develop and train ML models
• Implement monitoring to maintain continuous compliance with security controls and organizational policies
• Transition to higher-value cloud services to optimize cost and performance
• Assist with configuration and maintenance of automated monitoring and alert tools
• Monitor data ingestion pipelines, staging, and production environments
• Centralize log management tools
• Utilize agile best practices to support design, development, testing, and deployment
• Establish and support documentation standards and version control
• Maintain a knowledge repository inclusive of SOPs, reporting, architecture diagrams, configuration guidelines, and network settings
• Develop AI Proof-of-Concepts by integrating and ingesting various data types
• Transition AI/ML proof-of-concept solutions to a production environment
• Conduct comprehensive documentation, knowledge transfers, and training
• Assist in vulnerability management, protective monitoring, incident management, and configuration and change management
• Implement continuous monitoring to detect and track vulnerabilities
• Develop and implement robust data governance frameworks
• Establish data governance processes and policies for data lifecycle management
• Establish standards and best practices for data integration and interoperability
• Utilize generative AI technologies to facilitate data integration across schemas and taxonomies
• Develop a cloud rationalization framework to guide the evaluation and prioritization of cloud assets
• Develop detailed designs for landing zones based on approved managed services
• Deploy proof-of-concept to the configured landing zone and validate its configuration
• Implement processes for ongoing compliance with organizational policies and security controls
• Develop comprehensive documentation for landing zones