Vetted Full Stack Developers in the Greater Seattle

Pre-screened and vetted in the Greater Seattle.

Danny Anop - Senior Full-Stack Engineer specializing in SaaS, e-commerce, and frontend platforms in Bellevue, WA

Danny Anop

Screened

Senior Full-Stack Engineer specializing in SaaS, e-commerce, and frontend platforms

Bellevue, WA10y exp
GorgiasNational University of Singapore

Frontend-leaning full-stack engineer who has built a multi-tenant AI-powered widget and admin dashboard platform used across 40+ merchant websites. Strong in TypeScript/Next.js/GraphQL systems design, reusable platform primitives, and cross-layer debugging, with a clear track record of shipping scalable product experiences under ambiguity.

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DG

Mid-level Full-Stack Developer specializing in Java/Spring Boot and React

Seattle, WA5y exp
ShopifySaint Louis University

NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.

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DL

Staff Software Engineer specializing in streaming platforms and AI-driven experiences

Seattle, WA12y exp
AmazonClemson University
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Yashwanth J - Mid-level Software Engineer specializing in AI/ML and full-stack systems in Seattle, WA

Yashwanth J

Screened

Mid-level Software Engineer specializing in AI/ML and full-stack systems

Seattle, WA4y exp
AppleUniversity of North Texas

Engineer with Apple experience building LLM-powered internal workflow orchestration systems using Python, LangGraph, FastAPI, Redis, vector search, and Kubernetes. Stands out for a highly pragmatic, production-focused approach to agentic systems: deterministic state management, strong guardrails, observability, and human review for high-risk actions.

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Jyothi Polisetty - Mid-level Full-Stack Developer specializing in cloud-native web applications in Seattle, WA

Mid-level Full-Stack Developer specializing in cloud-native web applications

Seattle, WA5y exp
ShopifySaint Louis University
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PJ

Po Jui Lin

Screened

Mid-Level Full-Stack Engineer specializing in cloud platforms, cybersecurity web apps, and IoT

Seattle, WA3y exp
AmazonUniversity of Washington

Backend engineer with experience at Amazon building an API-driven service (APS) for large-scale prompt optimization jobs using AWS Step Functions, Batch/Fargate, DynamoDB, and S3, emphasizing idempotency, observability, and secure execution boundaries. Also led a multi-tenant enterprise policy/configuration backend refactor at MAMIT Cyber with versioned schemas, shadow writes, feature-flagged rollout, and PostgreSQL RLS-based tenant isolation.

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SS

Mid-level Full-Stack Software Engineer specializing in microservices and cloud-native systems

Seattle, WA6y exp
UberUniversity of Texas at Arlington
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SL

S Latha Naidu

Screened

Mid-level Software Engineer specializing in AI-powered full-stack systems

Seattle, WA4y exp
AmazonUniversity of Colorado Denver

Backend-focused engineer with experience at AWS building a global alarm processing platform (Python, Lambda/SQS/DynamoDB) handling traffic spikes and reliability issues; resolved duplicate alerts and latency under load by fixing hot partitions and enforcing idempotency. Previously at Cognizant, built Java/PostgreSQL backend workflows for healthcare dashboards using pre-aggregated summary tables, strong SQL optimization, and state-driven job orchestration with ELK-based observability and production guardrails.

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SG

Mid-level Full-Stack Engineer specializing in cloud-native microservices and GenAI

Seattle, USA4y exp
UberIllinois Institute of Technology
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MC

Mid-level Software Engineer specializing in full-stack cloud and embedded systems

Seattle, WA7y exp
Amazon Web ServicesBaylor University
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Sai Ganesh rao - Mid-level Full-Stack Developer specializing in Python and React for e-commerce in Seattle, WA

Mid-level Full-Stack Developer specializing in Python and React for e-commerce

Seattle, WA5y exp
ShopifySaint Louis University
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Kanhang Li - Senior Full-Stack Developer specializing in AI-powered web platforms in Snoqualmie, WA

Senior Full-Stack Developer specializing in AI-powered web platforms

Snoqualmie, WA7y exp
T-MobileRutgers University
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SI

Senior Software Engineer specializing in cloud-native backend platforms

Tukwila, WA11y exp
NBCUniversalHighline College
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SS

Mid-level AI/ML Engineer specializing in Generative AI and cloud-native systems

Seattle, WA3y exp
Dell TechnologiesNJIT
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AZ

Anna Zhou

Screened

Mid-level Backend Software Engineer specializing in Go, AWS, Kafka, and DevOps

Seattle, WA5y exp
NordstromUniversity of Washington

Checkout-focused engineer with hands-on experience integrating many dependent microservices and Kafka event flows, including managing SLA/timeout issues with partner teams. Led a PayPal Braintree SDK migration across iOS/Android/web with strong testing discipline, and built an AWS Lambda automation to clean up stale CloudFormation test stacks to reduce monthly AWS spend.

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SC

Intern Full-Stack Developer specializing in GenAI and data-heavy dashboards

Bellevue, WA1y exp
SourceIQUniversity of Washington
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AZ

Senior Full-Stack Engineer specializing in Golang and web applications

Sammamish, WA9y exp
SiftUniversity of South Alabama
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VA

Senior Software Engineer specializing in LLM applications and RAG pipelines

Seattle, WA10y exp
MarchexUniversity of Maryland, Baltimore County
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Mohith Venkata - Mid-level Full-Stack Developer specializing in cloud-native APIs and data workflows in Tukwila, WA

Mid-level Full-Stack Developer specializing in cloud-native APIs and data workflows

Tukwila, WA4y exp
Reshmi’s Group Inc.Seattle University

Built and owned end-to-end ordering and inventory/order management systems for a wholesale distributor, delivering an MVP quickly and iterating based on direct observation of daily users. Experienced with TypeScript/React + Node.js layered architectures and microservices using RabbitMQ, including real-world scaling issues (duplicates, backpressure) and observability practices (correlation IDs, structured logging).

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