Software Engineering Lead - Remote

Overview

Pitstop is a data-driven startup revolutionizing fleet maintenance technology. Our AI-powered platform provides predictive insights that help fleet managers reduce downtime, optimize maintenance schedules, and improve operational efficiency. We work with some of the largest fleets in North America, leveraging data science and machine learning to drive smarter maintenance decisions.

In Short

• Lead the design and development of high-performance, scalable software solutions for our fleet maintenance platform.
• Architect and implement systems that process large-scale vehicle data, applying AI/ML-driven insights.
• Collaborate closely with product managers, designers, and data scientists to build intuitive, impactful features.
• Mentor and provide technical guidance to a team of engineers, fostering a culture of best practices and continuous improvement.
• Optimize system performance, ensuring reliability and efficiency in real-time vehicle monitoring and predictive maintenance.
• Evaluate and introduce new technologies to enhance our platform’s capabilities and maintainability.

Requirements

• 8+ years of experience in software engineering, with expertise in backend or full-stack development.
• Skills/experience should include NLP, AI prompt engineering, SQL, React.
• Strong proficiency in Python, Node.js, or Go (or similar languages) and experience with modern frameworks.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and distributed systems.
• Deep understanding of microservices architecture, API design, and event-driven systems.
• Experience working with large-scale data processing (Kafka, Spark, or similar technologies is a plus).
• Strong problem-solving skills and a passion for building high-impact software products.
• Ability to lead technical projects and mentor engineers in best practices.

Benefits

• Opportunity to build and lead the transformation of an AI-driven platform at an enterprise level.
• Work with cutting-edge technologies and complex real-world data challenges.
• A fast-paced startup environment with autonomy and growth opportunities.
• Competitive salary, stock options, and comprehensive benefits.