Senior Back-end Engineer

As a Senior Back-end Engineer at H, your main responsibilities will include designing and implementing secure, robust, and scalable services via REST and gRPC, managing database interactions, and integrating third-party APIs. You'll also focus on code quality through tests and will set up continuous integration and deployment workflows, ensuring application reliability.

Candidates applying for the Senior Back-end Engineer position at H should have 4+ years of experience in Python backend development using frameworks like Flask, Django, or FastAPI. Familiarity with distributed systems, AWS, and messaging technology is critical, along with a good understanding of coding standards, architectural patterns, and test frameworks.

Yes, the Senior Back-end Engineer position at H has the potential to be fully remote or hybrid for candidates based in certain cities like Paris and London. The final decision on the work structure will be made by the hiring manager.

At H, Senior Back-end Engineers can look forward to competitive salaries, performance-based bonuses, and opportunities for professional growth. We promote continuous learning and encourage our team members to develop their skills in a dynamic and supportive environment.

H fosters a collaborative environment within our engineering teams by having a multicultural setup where diverse ideas are welcomed. As a Senior Back-end Engineer, you’ll have the chance to work closely with world-class AI talent, sharing knowledge and best practices, which enhances creativity and innovation.

When answering this question, discuss specific projects or applications you've worked on using Python frameworks like Flask or Django. Highlight the challenges you faced, how you overcame them, and the impact of your work.

Explain your approach to API security, including methods such as input validation, authentication, and using HTTPS. Providing real-world examples of how you've implemented security measures effectively will strengthen your response.

Discuss your specific usage of AWS services in previous projects, such as deploying applications, managing databases, or setting up CI/CD pipelines. Emphasize how these experiences enabled scalability and reliability in your projects.

Share a concrete example of a performance issue you encountered, the steps you took to diagnose the problem, and the optimization techniques you implemented. This shows your analytical skills and problem-solving approach.

Detail specific architectural patterns like microservices, monolithic, or event-driven architectures you've used. Explain the context for their use and the advantages they brought to the project.

Describe your process for creating integration tests, including any frameworks you prefer to use. Highlight the importance of these tests in ensuring the overall functionality of your application.

Discuss how observability allows teams to monitor, debug, and gain insights into system performance. Provide examples of tools you've used for logging and monitoring, and how they helped improve application reliability.

List the message queueing technologies you've worked with, such as RabbitMQ or Kafka. Share specific use cases where you implemented them, emphasizing the benefits they brought to the system architecture.

Mention specific resources, platforms, or communities you follow to stay informed about backend development. Highlight how continuous learning has benefited your work and kept your skills relevant.

When answering this question, align your personal goals and values with H's mission and culture. Discuss your enthusiasm for working on cutting-edge AI projects and how your expertise aligns with the team's vision.