PROVISION

Provision is automating construction. We help contractors speed up their work, reduce risk, and eliminate errors that cost the industry more than $500B every year. Our mission is to make construction more profitable, so society can build more. We are building the most ambitious vision of what is possible with AI in construction.
Provision is a YC-backed late Seed stage company with over 10M in recent funding from some of the world’s best investors and operators in the construction technology space, including YCombinator, Sequoia Capital (via their scout program), DroneDeploy, PlanGrid (acquired by Autodesk), and Cercano (Microsoft Co-Founder Paul Allen’s fund), formerly known as Vulcan Capital (investors in Uber, Alibaba and Spotify).
Come join our team and work alongside builders from Procore, Fidelity, and YCombinator who move fast and solve hard problems.

BASIC QUALIFICATIONS

• Bachelor’s degree in computer science, engineering, math, or science discipline and 1+ years of experience in software development; OR 3+ years of professional experience building software in lieu of a degree
• 1+ years of professional experience in full-stack development of production web applications
• Experience with JavaScript libraries such as React and Redux
• Experience developing Python web applications

PREFERRED SKILLS AND EXPERIENCE

• 5+ years of working full-time as a software engineer
• Professional experience with Django and Django Rest Framework
• Familiarity working within the modern software development cycle, and following best practices using version control, CI/CD, and conducting code reviews
• Professional programming experience in modern C++ (C++14 and above)
• Professional programming experience with object-oriented languages such as Java, Python, C#
• Strong software design and development skills
• Experience with highly available concurrent systems
• Experience with containerized solutions such as Docker and Kubernetes
• Professional experience with Unix systems and tools
• Experience with database systems such as Postgres
• Strong skills in debugging, performance optimization, and test automation

ABOUT US

We are at the leading edge of innovation in the construction technology space. We are using the latest practices in LLM, data engineering, and workflow automation to build transformational tools that promise to fundamentally change how construction companies operate.
Provision was co-founded by Luigi La Corte, who worked as a civil engineer before investing in infrastructure assets at a private equity firm in Toronto, Plenary Americas, and Brendan Ardagh, a trained quantity surveyor and lifelong software engineer who was the CTO of two venture backed companies in South Africa.
Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest. We are committed to continuous improvement, and a diverse and inclusive workplace for all. Provision is an Equal Employment Opportunity employer and employment decisions are based on merit and business needs only. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
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Compensation Range: CA$140K - CA$220

• Collaborate with Product Designers and internal and external customers to develop and refine the overall look, design, and functionality of the Provision product
• Develop and evolve core javascript and python libraries and components used to render project documents, user interfaces and build backend services
• Contributing to a document processing engine that processes thousands of documents a day
• Develop prototypes to prove key design concepts and quantify technical constraints for advanced AI pipelines and construction document understanding
• Improve reliability and optimize performance of our foundational processing system
• Routinely test and debug web applications and backend services, both manually and through automation, to maintain high quality and performance
• Integrate cutting edge AI to deliver novel automation use cases to customers and collaborate with Machine Learning Engineers to effectively produce a system that makes human level decisions in construction projects