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.
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What this interview tests
- 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
Common question themes
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
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