Software Engineer - Cody Prime [IC2]

As a Software Engineer at Sourcegraph, you will primarily work on building and operating resilient and secure services for our AI Code Assistant, Cody. This includes developing the documentation and tooling for abuse detection, implementing analytics services, and collaborating closely with other teams to ensure a seamless user experience across various code hosts.

To be a strong candidate for the Software Engineer position at Sourcegraph, you should have clear communication skills, proficiency in Go or other strongly typed languages, and a solid understanding of cloud deployment and management. Experience in developing and reasoning about distributed systems is highly valued, along with a eagerness to collaborate effectively in a fast-paced environment.

At Sourcegraph, we believe in empowering our team members to reach their full potential. As a Software Engineer, you'll have access to a robust onboarding process to help you understand our architecture and technology stack. Additionally, you'll benefit from mentorship, and collaboration opportunities across various teams, enabling you to develop both your technical skills and professional network.

The Software Engineer role at Sourcegraph stands out due to our focus on innovation and improving developer efficiency through AI technology. You'll be part of an exciting new product line—Cody—that directly impacts how developers work. This position offers a dynamic environment where you can explore complex challenges in a collaborative and supportive atmosphere, balanced with the flexibility of remote work.

Sourcegraph's mission is to make coding accessible to everyone—an ethos that resonates with the Software Engineer role. By developing advanced features and tools for Cody, you’ll directly contribute to making coding more efficient and inclusive for developers around the globe, enabling them to focus on strategic and creative tasks rather than repetitive ones.

In your response, highlight specific projects where you used Go, focusing on aspects such as system architecture, handling APIs, or debugging. Be prepared to explain how those experiences equip you to tackle the challenges faced by the Cody Prime team.

Discuss your past experiences working with various teams, emphasizing the importance of clear communication, understanding team dynamics, and leveraging different expertise to meet common goals. Share specific examples where your collaboration led to successful project outcomes.

Detail your debugging philosophy, whether it's through utilizing logs, monitoring tools, or systematic isolation of components. Include your familiarity with platforms like Grafana or Prometheus if applicable, and explain how these methods have helped in previous projects.

Your answer should convey a clear narrative. Choose a specific problem, describe the context, the solution you implemented, and measure the outcomes. Highlight how your problem-solving skills align with the type of challenges faced at Sourcegraph.

Elaborate on your experience with cloud platforms like GCP and your hands-on skills with services like Kubernetes and CI/CD. Discuss how these tools can optimize resource management and improve deployment strategies, which are vital for Sourcegraph’s goals.

Express your philosophy on how both elements should coexist within product development. Provide examples of how you’ve navigated design trade-offs while ensuring that user needs and functionality remain the priority.

Outline the sources you use for staying updated, such as tech blogs, conferences, or online courses. Mention how you apply this knowledge to enhance your work and contribute effectively to teams, particularly in evolving fields like AI-driven software.

Talk about a specific project that had tight deadlines and how you organized tasks based on urgency and importance. Highlight your decision-making process and its implications on the overall success of the project.

Discuss your beliefs about teamwork, community, and inclusivity. Share your ideas about how you could leverage your experiences to contribute positively, such as fostering open communication, mentoring juniors, or participating in team-building activities.

Share your passion for the field, focusing on your vision for the potential of AI, particularly in improving developer workflows. Discuss how this excitement aligns with Sourcegraph’s mission and the ways you look forward to contributing.