-PLEASE ATTACH YOUR CV/RESUME-
Position Overview:
We are looking for an experienced Senior Full Stack Software Engineer with a strong background in building and maintaining high-performance applications. The ideal candidate will have expertise in
developing software solutions that integrate with IoT devices and managing large datasets. Additionally, you will be responsible for creating a mobile application for our riders to log their usage and performance metrics.
Responsibilities:
? Design, develop, and maintain a robust software platform to accept and process data from IoT devices.
? Architect and implement efficient data sorting and storage solutions to handle large volumes of data.
? Develop a mobile application for riders to log bike usage, including time of use, number of rides, and carrier information.
? Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality software.
? Ensure the scalability, reliability, and performance of the software and mobile application.
? Implement security best practices to protect sensitive data.
? Perform code reviews, testing, and debugging to maintain a high standard of code quality.
Qualifications:
? Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
? 5+ years of experience in full stack software development.
? Proficiency in programming languages such as JavaScript, Python, Java, or similar.
? Strong experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks (e.g., Node.js, Django, Spring Boot).
? Proven experience in developing mobile applications (iOS and Android) using frameworks like React Native or Flutter.
? Expertise in integrating and processing data from IoT devices.
? Solid understanding of database systems (SQL and NoSQL) and data sorting techniques.
? Familiarity with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices.
? Excellent problem-solving skills and attention to detail.
? Strong communication and teamwork abilities.
Preferred Skills:
? Experience with fleet management or logistics software.
? Knowledge of machine learning or data analytics.
? Understanding of real-time data processing and event-driven architectures.
? Familiarity with Agile development methodologies.