Remote Senior Software Engineer - AI-Enabled Fleet Technology
About the Role
Fleetworthy is seeking a Remote Senior Software Engineer to join our innovative team. In this role, you will be pivotal in shaping the future of fleet readiness with our AI-enabled technology that keeps drivers safe and fleets compliant. As a Remote Senior Software Engineer, you'll work with cutting-edge tools and technologies to enhance our fleet management solutions and ensure operational excellence.
What You'll Do
- Design and develop scalable software solutions for fleet management, focusing on safety and compliance.
- Collaborate with cross-functional teams to integrate AI capabilities into our existing systems.
- Participate in code reviews and contribute to best practices for software development.
- Implement and maintain APIs to support our toll management and weigh station bypass solutions.
- Monitor and optimize application performance to ensure high availability and reliability.
Requirements
- 5+ years of experience as a Senior Software Engineer or in a similar role.
- Proficiency in programming languages such as Java, Python, or C#.
- Experience with cloud platforms (AWS, Azure) and microservices architecture.
- Strong understanding of software development methodologies and best practices.
- Ability to work independently in a remote environment and manage time effectively.
Nice to Have
- Experience with AI and machine learning technologies.
- Familiarity with fleet management systems and compliance regulations.
- Knowledge of containerization tools like Docker and Kubernetes.
What We Offer
- Competitive salary ranging from $140,000 to $180,000 per year.
- Flexible remote work environment with a strong emphasis on work-life balance.
- Opportunities for professional development and continuous learning.
- Comprehensive health benefits and wellness programs.
- Collaborative and innovative team culture.
Fleetworthy is at the forefront of fleet management technology, offering a unique opportunity for a Remote Senior Software Engineer to innovate with AI-driven solutions.
Who Will Succeed Here
Proficiency in Java and Python with hands-on experience in building microservices architectures using Docker and Kubernetes, enabling seamless deployment and scalability of AI-enabled applications.
Strong understanding of cloud services, particularly AWS and Azure, to leverage infrastructure-as-code practices and optimize fleet management solutions for performance and cost-efficiency in a remote work environment.
Experience in developing and integrating APIs to facilitate communication between various fleet management systems, complemented by a problem-solving mindset that embraces innovative AI technologies for improving operational excellence.
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