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Remote - Full-Stack Engineer Location: US-Remote Jobcode: 3614036 Email Job
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We are looking for a motivated Mid-level Full-Stack Engineer to join our team and help build cloud-based logistics and IoT systems for autonomous vehicles. You will work on API development, simulation testing, and cloud infrastructure, with a focus on real-time communication between autonomous vehicles and cloud systems. This is a great opportunity for someone who is enthusiastic about cloud-based technologies and eager to take ownership of unit testing and the full development lifecycle. Key Responsibilities: IoT Integration: Assist in developing bi-directional communication systems using MQTT protocols for high-frequency IoT data transmission. API Development: Build and maintain domain-specific APIs in Python, running on AWS services, to handle mission-critical logistics and vehicle data. Cloud Infrastructure: Work with AWS services such as Kinesis for data streaming and DynamoDB/NoSQL for real-time data storage. Simulation & Testing: Participate in unit and simulation testing to ensure the safety and reliability of the vehicle systems. Full-Stack Development: Contribute to front-end development using React or Vue, focusing on RESTful APIs and microservices for real-time data visualization and processing. Autonomous Vehicle Communication: Support the development of systems that monitor and communicate vehicle health, mission status, and logistics information to customers. Continuous Delivery: Participate in 2-week sprints, managing your own code, testing, and release cycles in a decoupled environment. Tech Stack & Tools: Languages/Frameworks: Python (for APIs), React or Vue (for front-end) Cloud Services: AWS (Kinesis, DynamoDB, NoSQL, AWS Lambda) Protocols: MQTT (for IoT), RESTful APIs, Microservices architecture Testing: Strong focus on unit and simulation testing for safe deployments Logistics Systems: EDI for legacy systems integration Requirements: Experience with unit testing, cloud infrastructure, and Python API development. Strong enthusiasm for learning and building scalable cloud-based systems. Willingness to take full ownership of the development cycle, including coding, testing, and deployment. Experience with AWS services, IoT systems, or logistics systems is a plus but not required. A positive attitude and the ability to work collaboratively in a fast-paced, agile environment. Preferred Qualifications: Previous experience with logistics systems (e.g., EDI) and cloud-based data streaming. Interest in working with autonomous vehicle technologies. Strong communication and problem-solving skills.
Global Soft Systems, Inc
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