Remote Senior Software Engineer - AI-Enabled Fleet Management
About the Role
Fleetworthy is seeking a Remote Senior Software Engineer to join our innovative team. As a Remote Senior Software Engineer, you will play a crucial role in shaping the future of fleet readiness through AI-enabled technology. You will be part of a company that is trusted by 75% of the top fleets in North America, providing solutions that enhance safety, compliance, and operational efficiency.
What You'll Do
- Design and develop robust software solutions to enhance fleet management capabilities.
- Collaborate with cross-functional teams to integrate AI technologies into our existing systems.
- Ensure the scalability and performance of applications to support millions of vehicles and drivers.
- Participate in code reviews and provide mentorship to junior engineers.
- Contribute to the continuous improvement of our software development processes.
Requirements
- 5+ years of experience as a Senior Software Engineer with a focus on fleet management or related technologies.
- Proficiency in programming languages such as Java, Python, or C#.
- Experience with cloud platforms (AWS, Azure, or Google Cloud) and microservices architecture.
- Strong understanding of AI and machine learning concepts.
- Excellent problem-solving skills and ability to work independently in a remote setting.
Nice to Have
- Experience with fleet management systems or logistics software.
- Familiarity with DevOps practices and CI/CD pipelines.
- Knowledge of data analytics and visualization tools.
What We Offer
- Competitive salary ranging from $140,000 to $180,000 annually.
- Fully remote work environment with flexible hours.
- Health, dental, and vision insurance.
- Generous paid time off and holiday schedule.
- Opportunities for professional development and growth.
Fleetworthy offers a unique opportunity for a Remote Senior Software Engineer to innovate in fleet management technology. With a competitive salary and a fully remote environment, this role stands out in the industry.
Who Will Succeed Here
Proficient in Java and Python with hands-on experience in building scalable microservices, leveraging frameworks like Spring Boot for Java and Flask for Python.
Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and experience deploying AI and Machine Learning models in a cloud environment to optimize fleet management solutions.
Demonstrates a self-motivated, proactive approach suited for a remote work environment, with the ability to manage time effectively and collaborate asynchronously with cross-functional teams.
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