Senior Software Engineer, Backend - Experimentation Platform - job 2 of 2

As a Senior Software Engineer, Backend at DoorDash, your responsibilities will include enhancing the Experimentation Configuration platform, building new systems, dealing with high volumes of data, and collaborating with various teams. Your work will involve designing and building features that can support a huge number of experiments, ensuring they are run efficiently and effectively.

To qualify for the Senior Software Engineer, Backend role at DoorDash, candidates generally need a B.S., M.S., or PhD in Computer Science or a related field, along with 4+ years of industry experience. Proficiency in object-oriented programming languages and a deep understanding of REST principles are also necessary.

At DoorDash, candidates for the Senior Software Engineer, Backend position should be familiar with Java, Kotlin, Python, Go-lang, or Rust. Experience with any of these languages is critical, as well as a solid grasp on database technologies and cloud-based environments.

As a Senior Software Engineer at DoorDash, you'll work on exciting projects related to our Experimentation Platform, including building and improving the system for fast data processing, enhancing user interfaces for experiments, and evolving the platform to implement cutting-edge methodologies in data science and analytics.

The work environment for a Senior Software Engineer at DoorDash is hybrid, offering flexibility with both remote and in-office options. You can expect a collaborative atmosphere where innovative thinkers come together to solve complex engineering challenges in San Francisco, Sunnyvale, Seattle, or New York.

Discuss your previous roles where you worked with backend APIs, focusing on your understanding of REST principles and how you've implemented them in past projects.

Share your systematic approach to problem-solving, including how you break down complex problems and the tools or methodologies you use to find solutions efficiently.

Describe your experience with unit testing and integration testing, along with any frameworks you've used. Discuss the importance of testing in maintaining software quality.

Talk about any experiences you have had with machine learning, the tools or languages you've used, and how you see ML integrating with backend systems in experimentation platforms.

Provide a specific example of a system you've improved. Detail the problem you identified, the solution you implemented, and the outcomes or benefits that resulted from your changes.

Explain your strategy for prioritization, such as using frameworks like MoSCoW or identifying critical paths in project timelines to manage your workload effectively.

Share specific projects where you've utilized AWS services, detailing the components used and how they enhanced your project's capabilities.

Discuss a project that required you to interact with Product Engineers, Data Scientists, or other teams. Explain your role, how you communicated, and the project results.

Mention any resources, such as blogs, books, or conferences, you utilize to stay informed. Discuss how you apply new knowledge to your work.

Share your aspirations and how this role at DoorDash aligns with your career path. Talk about your desire for continuous learning and growth in the tech field.