Warehouse Management System Architect

We are seeking an experienced and innovative Warehouse Management System Architect to lead the design, development, and integration of next-generation automated warehouse solutions. The ideal candidate will collaborate with cross-functional teams to implement advanced technologies, streamline operations, and drive the evolution of robotics and automation in our warehouse systems.

PRINCIPLE DUTIES AND RESPONSIBILITIES

1. Collaborate with internal stakeholders to gather user requirements and architect cutting-edge automated robotics warehouse solutions.
2. Design and integrate user-facing and back-end architectures, ensuring seamless interaction between applications and server-side logic.
3. Enhance functionality of existing systems by assessing and prioritizing feature requests and implementing improvements.
4. Apply advanced technologies such as automation, robotics integration, artificial intelligence, deep learning, and computer vision.
5. Develop scalable and efficient applications using Python, Web GUIs, and APIs, emphasizing low latency and high availability.
6. Conduct rigorous testing and debugging to ensure optimal system performance.
7. Implement robust security protocols and data protection measures.
8. Manage and accommodate modern data storage solutions, including SQLite, Oracle, JSON, and MongoDB, while ensuring backup, recovery, and business continuity planning.
9. Design and implement scalable, reliable, and future-proof applications to support evolving business needs.

JOB SPECIFICATIONS FOR SUCCESSFUL PERFORMANCE

Academic:

1. Master Degree in Computer Science, Engineering or a related field.
2. Experience in logistics, supply chain, or warehouse management systems.
3. Familiarity with cloud-based solutions and microservices architecture.

Experience, knowledge & attributes:

1. Proven experience in architecting and implementing large-scale automated warehouse management systems.
2. Proficiency in Python, web development (GUI and API), and modern software development practices.
3. Expertise in robotics integration, automation, AI, deep learning, and computer vision.
4. Strong knowledge of system security, data protection, and modern database solutions (SQLite, Oracle, JSON, MongoDB).
5. Experience in testing, debugging, and optimizing applications for performance and reliability.
6. Excellent problem-solving skills and ability to prioritize and manage feature requests effectively.
7. Strong collaboration and communication skills for cross-functional teamwork.