Software Engineer

📋 Description

• • Join Hauler Hero, a dynamic and rapidly growing waste management SaaS company, and play a pivotal role in shaping the future of our innovative platform. We are seeking a talented Software Engineer with 2-4 years of professional experience to contribute to our cutting-edge technology stack and directly impact the success of our customers. At Hauler Hero, we are revolutionizing the waste management industry by providing a comprehensive SaaS solution that streamlines operations, optimizes routes, manages complex billing, and leverages AI-driven automation. Our platform is built on modern cloud infrastructure and is trusted by clients processing millions in revenue, making this an opportunity to work on impactful, real-world applications.
• • This is a hands-on engineering role where you will be actively involved in the entire software development lifecycle. You will write production-ready code daily, participate in rigorous code reviews, and take full ownership of services and features from conception to deployment. We foster an environment where engineers are encouraged to ask insightful questions, learn at an accelerated pace, and dive deep into complex technical challenges. Your contributions will be instrumental in enhancing our platform's capabilities and ensuring its continued success in a competitive market.
• • **Embracing AI-First Engineering for 2026 and Beyond:** Hauler Hero is at the forefront of adopting AI-assisted development as a core component of our engineering philosophy. We firmly believe that AI tools are fundamentally transforming how software is built, and we are committed to equipping our team with the skills and knowledge to master these tools early in their careers. Our philosophy is rooted in the understanding that software engineering is an evolving discipline. Engineers who proactively learn to collaborate effectively with AI tools now will gain a significant advantage as their professional journeys progress. We provide comprehensive training, state-of-the-art tools, and dedicated mentorship to help you develop this crucial skill alongside your foundational technical expertise.
• • **What AI-Assisted Development Looks Like in Practice:**
• • **Daily Development:** You will integrate tools such as Claude (Opus 4.5), Claude Code, Cursor, and GitHub Copilot into your daily workflow. AI will assist in writing code, generating comprehensive test suites, debugging intricate issues, and understanding unfamiliar sections of the codebase. This allows you to concentrate on higher-level tasks like system design, grasping business logic, and ensuring the delivery of high-quality software. Senior engineers will guide you in effectively leveraging AI while reinforcing core technical skills.
• • **Accelerated Learning and Growth:** AI tools can significantly expedite your understanding of new concepts, technologies, and design patterns. Utilize AI to generate boilerplate code, freeing you to focus on the core logic and design decisions. You will learn to articulate your technical approaches clearly, which enhances both AI collaboration and human communication.
• • **Enhanced Code Quality:** AI assists in writing unit tests, suggesting code improvements, and identifying potential issues. You will develop a critical eye for reviewing code, whether generated by AI or humans, ensuring it adheres to our stringent quality standards. Senior engineers will mentor you on discerning the value of AI suggestions and refining them when necessary.
• • **Streamlined Problem-Solving:** AI can help analyze error messages, propose debugging strategies, and explain complex code segments. You will cultivate the judgment to determine when AI guidance is most beneficial and when to seek input from senior engineers. This fosters a synergistic approach, combining AI assistance with your own reasoning and the collective expertise of the team.
• • **Your Role in the Human-AI Partnership:** Your primary focus will be on understanding business requirements and user needs, learning system architecture and design patterns, writing clean and maintainable code (with AI assistance), building robust technical fundamentals, and honing your problem-solving skills. You will collaborate effectively with the team and ask pertinent questions. AI will support you with code implementation, boilerplate reduction, test generation, documentation, error message analysis, and suggesting technical approaches. Crucially, you will review all AI-generated output to ensure its accuracy and seamless integration into our codebase. Senior engineers will guide you in developing this critical thinking and evaluation skill.
• • **What You'll Do:**
• • Develop robust backend services utilizing Java and Spring Boot.
• • Build engaging and responsive frontend features using React.
• • Write clean, well-tested code that adheres to established design patterns and best practices.
• • Actively collaborate with the team on feature design, implementation, and refinement.
• • Work with PostgreSQL databases, including experience with spatial data (PostGIS) and complex multi-tenant architectures.
• • Debug production issues efficiently and contribute to improving overall system reliability.
• • Partner closely with the Customer Success team to investigate and resolve customer-reported issues.
• • Develop deep domain expertise in routing, billing, and waste management operations.
• • Contribute to technical documentation and knowledge-sharing initiatives within the team.
• • Participate in an on-call rotation, with comprehensive team support available.
• • **What We're Looking For:** We seek engineers who are inherently curious, eager to embrace new tools and technologies (including AI-assisted development), and possess strong critical thinking skills. You should be growth-minded, adaptable to the evolving landscape of software development, and collaborative. A commitment to quality is essential, understanding that speed should never compromise standards. We are not looking for individuals who passively copy AI-generated code without understanding, are resistant to learning new workflows, struggle to articulate their technical reasoning, or view AI as a substitute for learning and building.