AWS
Amazon Kinesis
Streaming ingestion, shards, and consumer scaling.
AWS Backend Engineer interview prep — recommended services, cloud concepts, and practice questions.
8+
Questions
Medium
Difficulty
2 weeks
Prep time
for 2026
Updated
Difficulty: Hard
Representative interview simulation — practice with AI feedback on InterviewForge AI.
Difficulty: Medium
Representative interview simulation — practice with AI feedback on InterviewForge AI.
Difficulty: Medium
Representative interview simulation — practice with AI feedback on InterviewForge AI.
Pick a path to open interview questions, scenario drills, and AI mock interviews for this cloud topic.
AWS
Streaming ingestion, shards, and consumer scaling.
AWS
Managed Kafka — brokers, ACLs, and rebalancing.
AWS
Orchestration state machines for ETL workflows.
AWS
Object storage tiers, lifecycle policies, and consistency.
AWS
Managed relational databases, replicas, and failover.
AWS
Single-table design, GSIs, and capacity modes.
AWS
Serverless functions, cold starts, and event sources.
AWS
REST/WebSocket APIs, throttling, and auth integration.
Focus on AWS services that match Backend Engineer job descriptions, plus cross-cutting IAM, networking, and observability.
Step 1
Foundation
AWS IAM, VPC/networking, and observability basics for Backend Engineer loops.
Step 2
Core services
Deep dive: Amazon Kinesis, Amazon MSK, AWS Step Functions, Amazon S3.
Step 3
System design
Practice one end-to-end architecture whiteboard per week with cost and failure analysis.
Step 4
Mock loop
Run AI mock interviews with follow-ups until you can explain trade-offs without notes.
Run a timed AI mock interview focused on AWS — architecture trade-offs, failure modes, and production judgment.
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