Amazon
Senior
Lead architecture on AWS OpenSearch's cloud-scale search and analytics platform
Practice for a Senior SDE role (the JD's own body text names it 'Senior Software Development Engineer' despite the posting title) on the AWS OpenSearch Service team, working on search, analytics, and vector/AI workloads at cloud scale. Calibrated to the JD's real bar: 5+ years of professional software development plus 5+ years leading architecture/design and mentoring or tech-leading a team, working primarily in Java and Python and contributing upstream to OpenSearch.
Step into this interview
Free · a live voice mock calibrated to this exact role
Likely format
Amazon's standard loop is publicly known: an online assessment/phone screen followed by an onsite/virtual loop of several rounds each pairing a coding or system-design problem with one of Amazon's Leadership Principles.
What this interview tests
- Distributed search/indexing system design at scale
- Java and Python proficiency
- Architecture leadership and technical decision-making
- Mentoring / tech lead experience
- Query optimization, high availability, security in search systems
- Contributing to a large open-source codebase (OpenSearch)
Common question themes
Design a scalable, highly-available search/indexing service
Describe a time you led an architecture decision that others had to follow
How would you optimize query performance in a search cluster under load
Tell me about mentoring an engineer through a hard technical problem
How do you contribute a change to a large open-source project like OpenSearch
Tradeoffs in designing for reliability vs. cost at cloud scale
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