Cloud Solutions Architect

Company Description Gray Wolf Solutions, LLC is a small business founded in 2015 that provides strategic IT staffing solutions to U.S. Government agencies across the Intelligence, Defense, and Civilian communities. The company partners closely with clients to understand specific mission needs and technical environments, allowing them to manage the recruiting process so clients can focus on their core objectives. Gray Wolf Solutions emphasizes understanding where technology is headed on each project and what type of individual will thrive in that environment. By asking thoughtful questions of both clients and employees, the company aims to create long-term, mutually beneficial relationships. Core values include commitment, honesty, loyalty, and hard work in delivering high-caliber talent.Role Description The Sponsor's office serves as an accelerator to the organization's mission through strategic investments, training, data science, commercial engagement, and data orchestration. The Sponsor requires a highly skilled individual to design, develop, and implement secure and efficient systems and infrastructure. The ideal candidate will possess a strong background in system engineering, cybersecurity, and data management, combined with excellent technical skills and the ability to thrive in a fast-paced environment. This role involves providing hands on support and guidance to senior USG leadership on emerging technologies and developing innovative solutions.• contribute directly to advancing the Sponsor's strategic objectives in the cyber domain by focusing on critical disciplines such as cloud engineering, data lifecycle management and optimization, and strategic contracting. • collaborate with various teams to develop, maintain, and optimize secure and efficient systems that support the expertise-driven mission of the Sponsor's office.• design and implement complex system architectures and infrastructure that support the collection, processing, and analysis of cyber intelligence data to meet organizational objectives. • ensure the scalability, reliability, and performance of systems critical to the Sponsor's cyber mission. • identify potential vulnerabilities and perform comprehensive risk assessments and vulnerability testing to implement security measures across Sponsor computing environments. • provide expert technical guidance on system security, compliance, accreditation, and best practices for secure data transfer and ingestion. • recommend and configure tools for data lifecycle management, ensuring the integrity, secure transfer, and accessibility of data across all stages of the data lifecycle. • provide expertise in the implementation and optimization of data orchestration platforms that align with the Sponsor's mission requirements. • assess, integrate, and manage resources in cloud platforms (e.g., Azure, AWS) to support organizational objectives and enhance cloud computing capabilities. • perform both global and local administrative functions within cloud infrastructure to facilitate access to services and data, ensuring these align with Sponsor's mission-critical needs. • make recommendations and implement cloud-based solutions to support the secure, effective operation of critical cyber systems. • use the following Required Tools and Technologies; Cloud platforms (e.g., Azure, AWS), Security assessment tools, Data orchestration platforms, System architectural design software (e.g., architectural modeling tools), Software for managing, planning, and documenting projects (e.g., Jira, Confluence, SharePoint). • research or implement, where possible and at Sponsor direction, Artificial Intelligence (AI) and Machine Learning (ML) integration into systems engineering, application or tool development.QualificationsThe Contractor shall have the following required skills, certifications, and demonstrated experience: • systemengineering, managing, and optimizing complex IT systems and infrastructure, particularly within cloud environments such as Azure and AWS.• architecting and deploying solutions within cloud platforms, ensuring scalability, reliability, security. • system security, including implementation of security measures and conducting comprehensive risk assessments. • securing systems in compliance with established guidelines, e.g., NIST standards, including experience with compliance and accreditation processes such as Authority to Operate (ATO) and Authorization to Deploy (ATD). • data management, including secure data transfer and ingestion, as well as handling large-scale data sets while maintaining high standards of data integrity and security. • data orchestration and lifecycle management tools to optimize data processes and integration across various platforms. • presenting and translating complex technical information into clear and concise language for diverse audiences. • experience or familiarity with Artificial Intelligence (AI) and Machine Learning (ML) concepts, demonstrating exposure to related integration methodologies in systems engineering. • developing and maintaining secure communications channels and network infrastructure to support mission-critical operations.