2 days ago
Base Salary
$168k - $227k/yr
Responsibilities
- Design and implement distributed vector, full-text, and hybrid-search capabilities for DynamoDB.
- Build vector indexing, approximate-nearest-neighbor retrieval, full-text indexing, relevance scoring, hybrid ranking, and result-fusion systems.
- Design distributed query execution, partition selection, fan-out, local retrieval, top-k merging, filtering, and aggregation.
- Build index lifecycle mechanisms including creation, backfill, incremental updates, compaction, rebalancing, recovery, configuration changes, and deletion.
- Define search freshness and consistency semantics and synchronize indexes with changing DynamoDB data.
- Integrate search indexes with DynamoDB storage, partitioning, replication, and query-processing systems.
- Develop benchmarking and correctness frameworks for retrieval quality, recall, relevance, performance, scalability, and failure behavior.
- Design highly available systems that remain operational during node failures, partition movement, traffic spikes, rebuilds, and deployments.
- Translate customer requirements into technical designs, deliver production capabilities, provide technical leadership and mentoring, and operate the service in production.
Requirements
- At least 5 years of non-internship professional software development experience.
- At least 5 years of programming experience with at least one software programming language.
- At least 5 years leading the design or architecture of new and existing systems, including reliability and scaling.
- Experience building distributed systems, databases, search infrastructure, storage engines, or other high-performance data platforms.
- Strong understanding of algorithms, data structures, concurrency, and system performance.
- Experience taking complex systems from design through implementation, launch, and production operation.
- Experience mentoring, serving as a tech lead, or leading an engineering team.
- Preferred experience with vector search, full-text search, hybrid search, approximate-nearest-neighbor search, information retrieval, distributed query execution, database indexes, storage engines, partitioned systems, replication, rebalancing, failure recovery, and performance benchmarks.
- Preferred knowledge of HNSW, IVF, clustering, product quantization, inverted indexes, analyzers, tokenization, BM25, query parsing, rank fusion, score normalization, filtering, reranking, LSM trees, write-ahead logging, compaction, caching, snapshots, and recovery.
- Preferred experience with Java, Rust, or another systems-programming language.
- A bachelor's degree in computer science or equivalent, or a master's degree or PhD in computer science, engineering, mathematics, or a related field, is preferred.
- Preferred experience with the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Benefits
- Amazon offers health insurance including medical, dental, vision, prescription, Basic Life and AD&D insurance, supplemental life-plan options, EAP, mental-health support, a medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.
- The position is based in Seattle, Washington, USA, with a stated annual base salary range of $168,100.00 to $227,400.00, excluding sign-on payments and restricted stock units.
Categories
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.