Software Development Engineer , DynamoDB Index, Search and Storage

AI in this role

Build native vector similarity search, full-text search, and hybrid search infrastructure for Amazon DynamoDB.

awsdynamodb

distributed-systemsdatabaseinformation-retrievalmachine-learning-infrastructurevector-search

Software Development Engineer, DynamoDB Search and Indexing

Amazon DynamoDB is a serverless, distributed NoSQL database that delivers single-digit millisecond performance at virtually any scale. The DynamoDB Search and Indexing organization is building native search capabilities that allow customers to perform vector similarity search, full-text search, and hybrid search across their operational data.

We are looking for a Senior Software Development Engineer to help design and build the distributed indexing, retrieval, and ranking infrastructure behind these capabilities. You will work on problems at the intersection of databases, distributed systems, information retrieval, and machine-learning infrastructure.

The role includes designing vector and text-indexing architectures that operate across partitioned datasets; integrating approximate nearest-neighbor algorithms and inverted indexes with DynamoDB’s storage and query systems; and building hybrid retrieval that combines semantic similarity, lexical relevance, and structured filtering.

You will help determine how search indexes are created, maintained, rebuilt, rebalanced, and recovered while the underlying DynamoDB data continues to change. You will also shape query planning, distributed execution, relevance ranking, and result aggregation while delivering predictable performance across latency, throughput, recall, freshness, availability, and cost.

This is an opportunity to shape new DynamoDB capabilities from foundational architecture through customer launch and operation at DynamoDB scale.

Key job responsibilities

* Design and implement distributed vector, full-text, and hybrid-search capabilities for DynamoDB.
* Build vector-indexing and approximate nearest-neighbor retrieval mechanisms for high-dimensional embeddings.
* Develop full-text indexing and retrieval capabilities, including tokenization, text analysis, inverted indexes, relevance scoring, and phrase or term-based search.
* Build hybrid retrieval and ranking that combines vector similarity, lexical relevance, and structured attribute filters.
* Evaluate ranking and result-fusion techniques for combining semantic and lexical results, including score normalization, rank fusion, and reranking.
* Design distributed query execution, including partition selection, query fan-out, local retrieval, top-k result merging, filtering, and aggregation.
* Build index lifecycle mechanisms covering creation, backfill, incremental updates, compaction, schema or configuration changes, rebalancing, recovery, and deletion.
* Ensure that indexes remain sufficiently synchronized with changes to the underlying DynamoDB data and define clear search-freshness and consistency semantics.
* Integrate search indexes with DynamoDB’s distributed storage, partitioning, replication, and query-processing systems.
* Optimize tradeoffs among search quality, recall, relevance, query latency, ingestion throughput, index freshness, memory usage, storage amplif

About the team
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer , DynamoDB Index, Search and Storage at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Distributed SystemsDatabaseInformation RetrievalMachine Learning InfrastructureVector SearchAWSDynamodb

Questions you could be asked

Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where database was part of your work. What did you do?
Tell me about a project where information retrieval was part of your work. What did you do?
Tell me about a project where machine learning infrastructure was part of your work. What did you do?
Tell me about a project where vector search was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Distributed Systems, Database, Information Retrieval, Machine Learning Infrastructure, and Vector Search. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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