Role Description This role is for one of our clients. Job Title: Junior Architect / CAD Engineer (Vectorworks) Job Type: Contractor Location: Remote In this position, you will utilize your expertise to assist in training next-generation AI systems. Your contributions will influence how models learn, reason, and operate by providing high-quality, real-world input. No prior experience in AI is necessary — what counts is your domain knowledge. Key Responsibilities: - Utilize your expertise in Vectorworks and CAD software to offer practical architectural and design insights for AI training initiatives. - Examine, interpret, and annotate architectural drawings and models to enhance the performance of AI systems. - Work closely with the client’s team to ensure the accuracy and relevance of data input related to architectural workflows. - Assess Building Information Modeling (BIM) content to guarantee compliance with standards and best practices. - Provide feedback on design methodologies, drawing standards, and project documentation as they pertain to AI development. - Engage in knowledge-sharing sessions to improve AI models by integrating current architectural expertise. - Identify gaps in the system’s understanding and suggest solutions based on industry experience. Qualifications - Basic proficiency with Vectorworks focused on architectural drafting and design. - Strong understanding of CAD principles and architectural workflows. - Familiarity with architectural design procedures and project documentation. - Experience working with Building Information Modeling (BIM) in architectural projects. - Detail-oriented approach with excellent analytical and observational abilities. - Ability to clearly and concisely communicate technical information. - Self-driven, dependable, and comfortable working independently in a remote environment. Requirements - Practical experience in architectural studios or related settings using Vectorworks. - Knowledge of AI applications within design or architectural fields (preferred but not essential). - Familiarity with additional CAD or BIM software tools besides Vectorworks.

• Design, develop, and implement new applications/services and enhancements to existing systems in an agile environment. • Translate technical requirements and architecture designs into high-quality, maintainable code. • Participate in application design, technical specifications, and testing to ensure functionality and performance. • Develop and integrate APIs and microservices. • Work with both relational and NoSQL data stores, including Azure Storage solutions. • Support ongoing Operations and Maintenance (O&M) efforts for existing applications. • Collaborate with cross-functional team members to meet client needs and project goals. • Contribute to continuous improvement efforts, including code quality, testing, and deployment practices.

Role Description We currently have a vacancy for a Cloud Platform Architect (AWS/Azure & Cycloid) fluent in English, to offer his/her services as an expert who will work remotely. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. - Design, document, deploy and maintain stacks on the Cycloid platform; - Proof of Concept, prototyping of infrastructure and component solutions; - Design components and make them available to customers; - Assist the Project and Service Managers and solution architects with the identification of technical solutions to functional or regulatory issues; - Participate in coordination and project meetings; - Contribute to investigations as and when required; - Deliver new cloud accounts; - Provide support on Cloud platforms and IDP components and their integration. Qualifications - Master’s degree in IT, combined with 10 years of relevant working experience in IT; - At least 10 years of experience in designing, configuring and leading the administration of large AWS or Azure environments; - At least 1 year of experience with one of the below cloud providers: Clever Cloud, STACKIT, Scaleway and S3NS; - At least 6 months of experience with Cycloid, architecture of this solution and design; - Experience with Java and PostgreSQL application stack; - Experience in Oracle Cloud Infrastructure or IBM cloud environments is an asset; - Excellent command of the English language. Benefits - Competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience; - All applications will be treated as confidential.

Title: Online Visiting Professor of Cloud Computing Location: United States Job Description: Opportunity: DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields. Courses meet once or twice a week for eight weeks. Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment. Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements. Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives. All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support. Responsibilities: Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives. Organizes, prepares, and regularly revises and update all course materials. Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students. Models effective oral and written communications that engage the students, provide clarity, and improve student learning. Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories. Ensures that the content and level of material included on exams correspond to the course terminal objectives. Demonstrates consistency and fairness in the preparation and grading of exams, and provide timely feedback to students. Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes. Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work. Completes other duties as assigned. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. A doctorate in Cloud Computing, Computer Science, Information Systems, Information Technology, or a closely related field is required, with at least 18 graduate credit hours in cloud computing, distributed systems, networking, cybersecurity, or a related computing discipline. Applicants must upload unofficial graduate-level transcripts with their application. Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation. Three to five years of applied professional experience in cloud computing, distributed infrastructure, virtualization, or cloud-native technologies. Demonstrated experience with cloud architecture and cloud-enabled software development, including infrastructure provisioning, containerization, and deployment of applications within cloud platforms. Industry-recognized certifications or professional credentials relevant to cloud computing, cloud architecture, infrastructure engineering, or DevOps practices. Strong subject matter expertise in cloud technologies, combined with effective communication skills and the ability to explain complex technical concepts to diverse learners. Knowledge of secure and responsible cloud operations, including identity and access management, data protection, regulatory considerations, and cloud security best practices. Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices. Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply. Preferred Qualifications: Industry certifications in cloud platforms or cloud architecture (e.g., AWS, Microsoft Azure, Google Cloud, or equivalent industry-recognized credentials). Experience with cloud-native development practices, including containerization, microservices architecture, serverless computing, and orchestration technologies. Experience implementing DevSecOps frameworks, including continuous integration, continuous delivery pipelines, infrastructure as code, and automated security practices. Experience with hybrid and multi-cloud environments, including workload migration, cloud cost management, and cloud governance. Experience with programmatic or regional accreditation processes, including outcomes assessment, curriculum mapping, and continuous improvement initiatives. Active membership or engagement in professional technology or cloud-related organizations to maintain current industry knowledge. Experience integrating cloud-based laboratories, virtualized environments, or platform-based learning environments into post-secondary instruction to support hands-on learning. Two to five years of teaching experience at the post-secondary level, preferably in cloud computing, networking, systems administration, cybersecurity, or software development. Pay: Visiting Professor pay is based on level, credit hours taught per 8-week session, and location. Pay may vary in most states from $1500-$2700 per 8-week session. Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.