Team Specific Technical Stack and Backend Systems Questions

Discuss the team's specific technologies mentioned in the job description (Node.js, Python, Java, PostgreSQL, MongoDB, AWS, Azure, etc.). Ask about their backend architecture, how they handle scalability and reliability, deployment practices, and monitoring/alerting. Inquire about recent technical decisions or challenges they've faced. Show interest in learning their specific tech stack and systems. Ask realistic questions about the ramp-up period and learning curve.

EasyTechnical

42 practiced

Write a concise Java code snippet using HikariCP to create a PostgreSQL connection pool with configurable maxPoolSize and leak detection threshold. Show how you would handle SQLExceptions during getConnection and how you'd expose basic pool metrics for monitoring.

HardTechnical

40 practiced

A Java microservice in production exhibits a slow memory leak that results in out-of-memory crashes after several days. Describe a production-safe, step-by-step approach to identify, reproduce, and fix the leak with minimal customer impact. Include JVM tooling you would use (jmap, jstack, async-profiler), GC tuning, heap dump analysis, and safe deployment strategies for fixes.

MediumTechnical

48 practiced

Your team currently uses Excel spreadsheets to track capacity forecasts and on-call rotations. Propose a migration plan to an automated system using tools like Jira for rotations, Grafana for capacity dashboards, and a small service or Google Sheets + APIs to automate roster generation. Include data model changes, migration steps, and rollout strategy to minimize disruption.

MediumTechnical

74 practiced

Compare PostgreSQL and MongoDB for storing session state for a high-throughput web application that requires millions of reads per minute and moderate writes. Discuss consistency models, indexing, horizontal scaling (sharding/read replicas), backup/restore implications, TTL eviction, and strategies to avoid hot partitions.

MediumTechnical

37 practiced

Provide an Azure DevOps YAML pipeline snippet (concise) that builds a Docker image for a Node.js service, runs unit tests, scans the image for vulnerabilities (example scanner), pushes to Azure Container Registry, and deploys to AKS. Include a gated approval before production deployment and references to secure storage of service connection credentials.

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