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 indeveloping 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.
