Pretty much a 'tell me about yourself' but they steered it hard toward infra.
Structure your answer as a narrative that connects your past experiences to the core responsibilities of a persistence/database infrastructure team at Discord. Highlight specific projects where you worked with databases, storage systems, or distributed data, and emphasize how those experiences have prepared you to tackle Discord's unique scale and reliability challenges.
Pro tip: Show that you understand Discord's specific database challenges (e.g., massive scale, real-time messaging, data consistency across shards) and subtly tie your experiences to those needs. This demonstrates genuine interest and preparation.
Start with a brief summary of your background, focusing on your overall experience with databases and infrastructure. Mention your current or most relevant role and a key achievement that relates to persistence.
Walk through 2-3 specific projects or roles where you worked on database systems, storage engines, or data infrastructure. For each, describe the problem, your solution, and the impact (e.g., improved performance, scalability, reliability).
Dive into the technical details of one or two projects, highlighting your hands-on work with specific technologies (e.g., SQL/NoSQL databases, sharding, replication, caching, consistency models). Explain trade-offs you considered.
Explicitly connect your experiences to Discord's persistence infrastructure needs. Discuss how your skills in handling large-scale data, ensuring low latency, and maintaining high availability align with Discord's challenges.
Summarize why you are excited about the opportunity to work on Discord's persistence team and how you can contribute to solving its unique problems. Express eagerness to learn and adapt.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Choose a project that aligns with Discord's scale and technical challenges, such as real-time messaging or voice infrastructure. Structure your answer using a clear narrative: problem, your specific contributions, and quantified impact. Emphasize technical trade-offs, system design decisions, and root cause analysis to showcase depth.
Pro tip: Quantify impact with metrics that matter to Discord, like latency reduction, throughput increase, or cost savings. Be explicit about your individual role versus team effort to avoid ambiguity.
Briefly describe the project, its goals, and why it was important to the business or users. Mention the scale (e.g., number of users, messages per second) to highlight relevance to Discord.
Clearly state the technical problem, including constraints and challenges. Explain why it was non-trivial and what made it interesting.
Describe your specific actions and decisions. Focus on technical trade-offs, system design choices, and how you diagnosed root causes. Use 'I' statements to clarify your role.
Provide measurable outcomes such as performance improvements, cost reductions, or user engagement metrics. Compare before and after to make the impact concrete.
Summarize lessons learned and how the experience prepares you for challenges at Discord. Tie back to the role's requirements.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Choose a specific incident where you played a central role, and structure your answer chronologically: detection, triage, mitigation, resolution, and prevention. Emphasize clear communication with stakeholders throughout, and quantify the impact and improvements to show ownership and learning.
Pro tip: Focus on the systems thinking behind the incident—how it happened, why it wasn't caught earlier, and what systemic changes you made—rather than just the fix. Also, highlight how you kept communication proactive and transparent, especially during high-pressure moments.
Briefly describe the system, your role, and the incident's severity and impact (e.g., 'I was on-call for our real-time messaging service when we saw a spike in error rates affecting 10% of users').
Explain how the incident was detected (e.g., alerts, dashboards) and your initial actions to assess scope and severity, including any immediate communication to the team.
Walk through the steps you took to mitigate the issue (e.g., rolling back, scaling up, hotfix) and how you coordinated with others, including updates to stakeholders.
Detail how you kept stakeholders informed: frequency, channels (e.g., Slack, status page), and content (what was known, what was being done, next update time).
Describe the root cause analysis (e.g., 5 Whys, post-mortem) and the concrete preventive measures you implemented (e.g., improved monitoring, code changes, runbooks).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.