As a Full Stack Engineer, Fleet Scheduling, you will be responsible for designing and developing a full-stack fleet scheduling system that meets the needs of our customers. You will work closely with cross-functional teams to understand business requirements and develop scalable, efficient, and reliable solutions. Your expertise in Python, Node.js, Machine Learning, and AWS will be essential in building a system that can handle large volumes of data and provide real-time insights.
Key Responsibilities:
- Design and develop a full-stack fleet scheduling system using Python, Node.js, and AWS.
- Collaborate with cross-functional teams to understand business requirements and develop solutions.
- Develop scalable, efficient, and reliable solutions that meet the needs of our customers.
- Work with data scientists to integrate Machine Learning models into the fleet scheduling system.
- Ensure the system is secure, compliant with industry standards, and meets all regulatory requirements.
Requirements:
- 5+ years of experience in full-stack development with a focus on Python, Node.js, and AWS.
- Strong understanding of Machine Learning concepts and experience integrating ML models into software systems.
- Experience with containerization using Docker and orchestration using Kubernetes.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication and collaboration skills, with the ability to work with cross-functional teams.