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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.

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
46 practiced
Implement an idempotent AWS Lambda function in Python (pseudocode acceptable) that applies a SQL migration to a PostgreSQL database. Include how the function acquires a migration lock to prevent concurrent runs, records applied migrations to avoid reapplying, and how it handles retries and partial failures safely.
EasyTechnical
37 practiced
Describe Dockerfile best practices for building secure, minimal Node.js container images. Provide a concise multi-stage Dockerfile example and explain choices such as base image selection, npm ci vs npm install, non-root user, minimizing layers, and caching strategies.
HardTechnical
62 practiced
You observe increased tail latency for a distributed call chain Node.js -> Java -> Python. Describe a systematic triage to find the root cause using distributed tracing, logs, and metrics. After identifying likely causes, list infra-level and code-level optimizations you might apply to reduce tail latency.
MediumTechnical
40 practiced
Your Azure DevOps CI pipeline often breaks due to flaky integration tests for Java services. As the SRE responsible for CI reliability, describe the steps you would take to triage flakiness, strategies to reduce it (test isolation, mocking, stable infra), and CI changes that preserve developer feedback velocity while improving pipeline stability.

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