Job Description

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Kinetic Automation is building a network of automated repair centers for modern vehicles. The auto industry is transitioning from mechanically complex vehicles to mechanically simple ones with complex software and technology. Kinetic aims to be the primary infrastructure-as-a-service for servicing future vehicles with our robotic repair centers, powered by our proprietary software and AI. We are a strong team of experienced robotics + automotive + shared mobility enthusiasts who have worked in self-driving, mapping, lidar, motorsport, ride-sharing and ghost kitchens. We are a venture backed startup (Series A) with a clear go-to-market strategy and a line of sight to meaningful revenue.​

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We are on the hunt for a seasoned Python backend software engineer with specialized experience in developing scalable cloud services, and maintaining machine learning operations with a focus on Natural Language Processing (NLP) and/or Computer Vision. The ideal candidate will be instrumental in engineering sophisticated digital solutions that not only manage structured documents effectively but also incorporate AI-driven technologies to enhance and automate interactions with these documents at scale.​

Key Responsibilities:​

• Architect and deploy robust, scalable cloud-based applications emphasizing high performance, reliability, and scalability.​
• Develop back-end processes for comprehensive documentation manipulation, including document creation, content analysis, and data extraction leveraging machine learning models
• Spearhead the integration of machine learning algorithms, particularly in NLP and computer vision, to enhance document processing and analysis capabilities.​
• Design and refine user-friendly front-end interfaces with modern web development frameworks, ensuring responsive and engaging user experiences.​
• Engage in full product lifecycle management from concept and design to deployment and continuous improvement.​
• Uphold application quality through rigorous testing protocols, peer code reviews, and the implementation of best practices in software development.​

Key Qualifications:​

• Demonstrable experience with large-scale cloud services deployment and management, along with a track record of maintained or improved system stability and scalability.​
• Expert knowledge of Python web-app frameworks like Django and Flask. Strong understanding of MVC, MVT architectures, and RESTful API development.​
• In-depth knowledge of relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Proficiency in database design, normalization, and optimization techniques. Familiarity with ORM (Object-Relational Mapping) tools.​
• Knowledge of secure coding practices, understanding of common web application vulnerabilities, and experience in implementing security protocols and frameworks.​
• Hands-on experience with maintaining machine learning projects, especially within NLP and/or computer vision domains.​
• Hands-on experience with major cloud service providers such as AWS, Google Cloud Platform, or Azure. Proficiency in deploying and managing applications in a cloud environment, understanding of IaaS, PaaS, and SaaS models.​
• Exceptional analytical and problem-solving abilities, with a flair for creating optimized and scalable solutions.​
• Excellent communication skills and the ability to work collaboratively within a multidisciplinary team.​