Teams at Awetomaton

Design, build, and operate scalable ingestion, curation, and metadata-enrichment pipelines for enterprise data catalog and discovery. Ensure data quality, schema evolution, lineage, and cost-efficient large-scale processing; translate technical concepts for non-technical stakeholders and support downstream mission use.

Architect and operate AWS object storage and distributed data-management across core and edge sites. Design caching, TTL, and cache-seeding strategies for variable connectivity. Implement cloud-native storage interfaces, automate data workflows, and support secure, compliant storage access in Kubernetes environments while coordinating with customers on-site in Dayton, OH.

Design, build, and operate enterprise search and indexing systems that federate discovery across heterogeneous sources. Apply vector search, embeddings, semantic search, RAG, and ranking techniques to surface relevant results, tune relevance and performance at scale, and enforce access-aware retrieval governed by user role and permissions. Collaborate with customers and stakeholders, support sensitive defense/INTEL use cases, and ensure explainability and compliance.