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Vetted Amazon DynamoDB Professionals

Pre-screened and vetted.

HM

Mid-level Full-Stack Engineer specializing in AI-powered platforms

Remote4y exp
Jobs n Profiles LLCEastern Illinois University
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SM

Intern Full-Stack Software Engineer specializing in AI-powered applications

Hyderabad, India1y exp
TericsoftUniversity of Bridgeport
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MM

Entry Backend Software Engineer specializing in Python/FastAPI and cloud-native APIs

Milpitas, CA0y exp
California State University, ChicoCalifornia State University, Chico

Backend engineer who built and evolved a low-latency document search platform (C++/gRPC on Kubernetes with a vector database), emphasizing resilience under concurrent load through strict deadlines, retries, idempotency, and observability. Also experienced building secure, frontend-friendly FastAPI services (Pydantic + JWT) and executing safe incremental refactors using feature flags and parallel validation.

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SN

Entry-Level Software Engineering Student specializing in Full-Stack Web Development and ML

Calgary, Canada1y exp
Schulich Ignite, University of CalgaryUniversity of Calgary

Frontend-focused builder with multiple end-to-end academic product builds (event manager, niche social media app, airline booking site, AI-based obituary generator). Experienced in React/Next.js with an emphasis on scalable component architecture, pragmatic state management/performance, and strong collaboration with design via Figma; has shipped complex user flows like real-time chat, booking/seat selection, auth, and media upload under tight timelines.

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AF

Andrew Fu

Screened

Backend/infrastructure engineer in the EBS org focused on global server lifecycle and fleet reliability. Led a major modernization from manual, ticket-driven recovery to centralized Python services and operator tooling with DynamoDB-backed state, strong auth/allowlisting, and CloudWatch monitoring, plus an AWS Glue/S3/SNS data pipeline to join server and hardware datasets for global operational querying and automated recovery.

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