Telesis7 Consulting · 8 hours ago
Supply Chain Architect
Telesis7 Consulting is seeking a dynamic and results-oriented Supply Chain Architect with knowledge of AI concepts for automation within software development or data integration. The role involves driving the technical design and evolution of supply chain applications and API development, ensuring seamless data flow and system interoperability.
Responsibilities
Develop and maintain wireless supply chain architecture and technical solutions
Lead the analysis and definition of data, workflow, environment, system, and software interfaces
Develop, review and approve detailed design documents and specifications
Represent supply chain in end to end value stream solutions and development of integrations
Establish and document development standards and best practices and provide technical mentorship to delivery teams
Build out secure integration architecture to interface with a diverse set of systems
Responsible for driving API CI/CD implementation using tools like GitLab, Jenkins processes
Responsible for defining the system landscape, identifying gaps between current systems and desired end-state; creating a roadmap to deliver end-state solutions
Qualification
Required
8+ years of professional experience as an Application Architect with deep understanding of API implementations
Bachelor's Degree in Computer Science, Engineering or equivalent experience
3+ years of experience working with cloud platforms (e.g., AWS, Azure, GCP)
Proficiency in Java and Python
Experience with microservices architecture and containerization (e.g., Docker, Kubernetes)
Ability to apply long term perspective and strategy to tactical situations
Excellent verbal and written communication skills, with the ability to effectively communicate complex technical concepts and architectural decisions
Strong collaboration and interpersonal skills, with the ability to build effective working relationships across diverse technical teams and stakeholders
Preferred
Supply Chain domain experience
Knowledge of Artificial Intelligence (AI) concepts and their application for automation within software development or data integration
Deep hands-on experience with AWS cloud services