As a Founding Engineer - Infrastructure at Scrapybara, your primary responsibilities will include developing and maintaining robust backend systems and infrastructure for high-scale products utilized by thousands of developers. You will be instrumental in building infrastructure that supports our innovative AI agents and applications. This will involve using advanced technologies like Python, TypeScript, Terraform, Kubernetes, AWS, and GCP to ensure that our systems operate smoothly and efficiently, ultimately enabling our AI solutions to function seamlessly in various environments.

To qualify as a Founding Engineer - Infrastructure at Scrapybara, you should have at least one year of full-time software engineering experience. Proficiency in Python, especially with FastAPI, and TypeScript with Next.js is essential for backend development. Additionally, experience with infrastructure tools such as Terraform and Kubernetes is required. A strong product sense, excellent communication skills, and a capacity for high ownership in your work are also important traits we look for in potential candidates.

At Scrapybara, we cultivate a fast-paced, collaborative work culture where innovation and ownership are highly valued. As a Founding Engineer, you'll be part of a motivated team passionate about AI technology and its potential impact. We encourage quick shipping of high-quality products, which means you’ll have the chance to test and implement your ideas frequently. Our flexible unlimited paid time off policy promotes a healthy work-life balance, while our support from tier-1 VCs illustrates our commitment to building a sustainable and growth-focused environment.

Scrapybara is dedicated to fostering the growth of our employees, including Founding Engineers - Infrastructure. We provide a competitive salary, equity packages, and comprehensive benefits, which offer peace of mind and motivation to excel in your role. Moreover, you will work alongside seasoned professionals backed by Y Combinator, providing ample networking opportunities, mentorship, and professional development that can significantly enhance your skills in AI and infrastructure engineering.

As a Founding Engineer - Infrastructure at Scrapybara, you will be working on pioneering projects involving AI agents that automate computer interfaces in versatile and innovative ways. You will develop the required infrastructure to support high-scale deployment and performance, improving how thousands of developers integrate and utilize AI solutions. Your contributions will directly affect the quality of products that shape the future interactions between humans and technology.

In answering this question, focus on specific projects where you've utilized Python and FastAPI, detailing how you structured your applications, managed dependencies, and addressed performance issues. Share examples of challenges you encountered and how you solved them, emphasizing your ability to quickly deliver high-quality results.

Discuss your proficiency with tools like Terraform, Kubernetes, or AWS. Explain your rationale for favoring certain tools over others based on your experiences, the scalability of solutions, or efficiency improvements you've achieved. It shows your critical thinking about technology choices and infrastructure best practices.

In your response, outline your approach to prioritization, such as using Agile methodologies, setting clear deadlines, and assessing project impacts. Illustrate this with an example of a project where prioritizing effectively led to successful delivery, demonstrating your project management skills.

Explain product sense as an understanding of user needs and how to translate those into functionalities. Share examples where you identified user pain points and developed features that addressed these effectively, showcasing your ability to align engineering work with user satisfaction.

Discuss strategies like automated testing, code reviews, and performance monitoring. Provide examples of how you’ve implemented these practices in the past to maintain high quality in your work, demonstrating your commitment to excellence in infrastructure development.

Highlight your hands-on experience with tools like Docker and Kubernetes. Explain how you've used these tools for application deployment and management, sharing specific instances where they solved problems and improved your workflow to handle complex architectures.

Provide examples of how you’ve effectively managed stress during critical project phases, like utilizing time management techniques or collaborating with your team to meet deadlines. It's important to communicate your ability to maintain quality while under pressure.

Share a specific technical challenge, outlining the complexity, your thought process for tackling it, and the outcome. Highlight your problem-solving skills and the impact of your solution on your team or project, showcasing your ability to navigate complex scenarios.

Discuss a project where you took full responsibility, detailing the challenges faced and the actions you took. Emphasize your accountability and the results of your leadership, highlighting how your contributions influenced the project's success.

This is your chance to align your career aspirations with Scrapybara's mission. Discuss your passion for AI technology, the excitement about their innovative approach to infrastructure, and how you see your skills contributing to shaping the future of work. Authenticity and enthusiasm are key here!