
Fulfillment Systems Architect
5 days ago
Transforming Fulfillment with AI and Robotics
- We are seeking a seasoned professional to spearhead our backend infrastructure and API development, leveraging their expertise in building high-performance systems.
Achieve Performance Excellence with Us
Job DescriptionIn today's fast-paced retail landscape, customers expect swift delivery. To stay ahead of the competition, businesses must rethink their fulfillment strategies. At GreyOrange, we pioneer cutting-edge technology that streamlines order fulfillment, ensuring products reach customers promptly.
Synergy and innovation are at the heart of our operations. Our team is dedicated to harnessing AI and robotics to optimize warehouse management, distribution centers, and fulfillment centers. Join us as we navigate this exciting journey and uncover new avenues for growth.
About Our Solutions
Our solutions comprise AI-driven software and robot series designed to prioritize decisions and workflows for optimal performance across distribution centers. By feeding real-time data into algorithms, we calculate each next-best decision, solving everyday performance and peak period commitments alike. The result is a dynamic operation equipped to meet customer expectations perpetually.
Responsibilities
- Design and implement scalable backend infrastructure and APIs, driving business growth through technological innovation.
- Craft high-quality code that is robust, readable, and scales effortlessly, reflecting your proficiency in complex system development.
- Possess the drive to dive deep, thrive, and progress even in ambiguous situations, embodying a problem-solving mindset.
- Encourage knowledge sharing within teams and external groups, promoting collaboration and synergy.
- Troubleshoot and debug applications efficiently, adopting a methodical approach to resolve issues.
- Adopt problem-solving as a way of life, always striving to identify root causes.
- Collaborate with the team to discuss and implement ideas, fostering a culture of innovation.
- Build responsive, robust, and optimized applications that set industry standards.
Requirements
- 6–10 years of experience in software development with strong problem-solving skills and expertise in building complex systems.
- Proven expertise in developing end-to-end AI/ML applications using TensorFlow, PyTorch, and Keras, along with solid MLOps practices for model deployment and monitoring.
- Deep understanding of machine learning, deep learning, and AI integration into production systems with real-world performance trade-off understanding.
- Experience in NLP, Computer Vision, or Reinforcement Learning and understanding of model interpretability and responsible AI practices.
- Expertise in designing scalable distributed systems using microservices, event-driven architecture, and principles like the CAP theorem and fault tolerance.
- Hands-on experience with Java Spring Boot, Python, Android, and containerized deployments using Docker and Kubernetes.
- Strong knowledge of RESTful services, Kafka-based messaging, multithreading, and inter-process communication.
- Proficient in RDBMS (SQL) and familiar with PostgreSQL, Redis, MongoDB, and well-versed in object-oriented design and design patterns.
- Experienced in version control (Git), performance tuning, algorithm design, and large-scale system optimization.
Equal Opportunity Employer
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