Backend Engineer (Latin America)

As a Backend Engineer at ObviouslyAI, your main responsibilities include designing, developing, and maintaining robust backend services and APIs. You'll work closely with data science teams to create scalable systems, handle ETL processes, and ensure performance optimization. You'll also manage schema migrations, utilize cloud technologies for deployment, and engage in collaborative problem-solving to enhance user experiences.

To become a Backend Engineer at ObviouslyAI, you'll need 2-6 years of proven experience in backend development, particularly in Python frameworks like Django, Flask, or FastAPI. Familiarity with cloud environments, containerization using Docker and Kubernetes, and a solid understanding of CI/CD pipelines are essential. A growth mindset and a commitment to writing clean, maintainable code will also help you succeed in this role.

ObviouslyAI fosters a culture of continuous learning and knowledge-sharing among its engineers. As a Backend Engineer, you'll have opportunities to attend workshops, training sessions, and conferences to stay updated on industry trends and emerging technologies. We're committed to creating an environment where team members can grow personally and professionally.

In your role as a Backend Engineer at ObviouslyAI, you'll work with various tools and technologies, including Python frameworks such as Django, Flask, or FastAPI for building APIs. You'll also use SQLAlchemy for ORM, manage schema migrations with Alembic, and utilize Google Cloud for deploying services. Additionally, hands-on experience with Docker and Kubernetes is crucial for maintaining high availability and performance.

At ObviouslyAI, we value growth and encourage our Backend Engineers to take ownership of their development. Opportunities to learn new technologies, participate in impactful projects, and collaborate with diverse teams can lead to career advancement. You'll also have the chance to work on B2B product engineering, contributing to transformative solutions that shape the AI domain.

When answering this question, highlight any projects you've worked on using these frameworks. Discuss specific functionalities you've built, how you utilized the framework's features, and the overall outcome of your projects. Show enthusiasm and a willingness to learn more about these technologies.

To answer, mention specific techniques you employ, such as monitoring system metrics, analyzing bottlenecks, and utilizing caching strategies. Describe a time when you successfully improved system performance, making sure to include the tools and processes you used.

In your response, explain what Alembic is and how you’ve used it in database migrations. Discuss your experience with managing schema changes in a production environment and how you ensure minimal downtime during migrations.

Discuss your knowledge of security best practices, such as data encryption, authentication methods, and secure coding practices. Explain how you've implemented these strategies in past projects to safeguard systems against vulnerabilities.

Provide an example where you successfully collaborated with non-engineering teams, like product managers or data scientists. Highlight how you communicated technical ideas to non-technical stakeholders and worked together to achieve a common goal.

Share your methods for staying informed, which may include following tech blogs, participating in coding communities, or attending webinars and conferences. Emphasize your commitment to continuous learning and how it influences your work.

Explain your familiarity with the modern data stack, including tools for ETL, data warehousing, and other data management technologies. Describe how you've integrated these tools into your backend projects and their impact on data processing.

Describe your experience working with CI/CD pipelines, including tools you’ve used for continuous integration and deployment. Share how you ensure that deployments are automated, reliable, and efficient, and highlight any challenges you've faced in this area.

When answering, discuss practices like code reviews, unit testing, and documentation. Highlight the importance of writing code that is not only functional but also easy to understand and modify, and provide examples of how you've applied these principles.

Your response should convey genuine interest in ObviouslyAI’s mission and culture. Mention aspects like their focus on AI, commitment to user experience, and the opportunity to work with a talented team in a collaborative and flexible environment.