Cloud Engineer

2 days ago

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Arlo Solutions

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Where Technology and Simplicity Connect

Cyber Security • Management Consulting • IT Services Management • Policy • Government Contracting

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Description

• 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.

Requirements

• 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.