
Amazon
Mid
SDE, AWS OpenSearch Service — scale a search service managing thousands of domains
Design, develop, and support the AWS OpenSearch Service that manages thousands of customer search domains, with a focus on scalability, performance, service robustness, and cost tradeoffs in a highly virtualized, elastic cloud environment. Requires 3+ years of professional software development plus 2+ years of design/architecture experience and 3+ years working with big-data technologies (Hadoop, Spark, Lucene/SOLR, or Storm/Samza). This is Bengaluru-based AWS Utility Computing org work with 24x7 operational ownership.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- Distributed search service design at multi-tenant cloud scale
- Scalability, robustness, and cost tradeoffs in elastic/virtualized environments
- Big-data technology experience (Hadoop, Spark, Lucene/SOLR, Storm/Samza)
- Production operations and 24x7 service ownership
- Applying quantitative/mathematical modeling to system design decisions
常见提问方向
Design a search service that must scale to thousands of tenant domains
Describe a production incident in a distributed system and how you resolved it
How you used a big-data framework (Spark/Hadoop/Lucene) to solve a real problem
Reasoning about cost vs performance tradeoffs in a cloud-elastic system
How you'd set technical vision or mentor other engineers on the team
相关面试

Amazon
Mid
Software Development Engineer II, Amazon Smart Vehicles

Amazon
Mid
Software Development Engineer, Ads AI Core Infra

Amazon
Mid
Software Engineer II, Leo Regulus

Figma
Mid
Software Engineer, Traffic

Twilio
Mid
Software Engineer, Data Substrate

Senior