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Vetted Amazon VPC Professionals

Pre-screened and vetted.

JJ

Senior Data Engineer specializing in cloud data platforms and real-time streaming

Cape May, NJ13y exp
AmazonNJIT
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DZ

Senior Backend Software Engineer specializing in cloud platforms and event-driven systems

Sunnyvale, CA9y exp
GoogleDartmouth College
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MS

Senior Site Reliability & DevOps Engineer specializing in multi-cloud Kubernetes platforms

Orlando, FL13y exp
McKesson

IBM Power/AIX infrastructure engineer who has owned large-scale Power9/AIX 7.x estates across primary/DR (VIOS/HMC/vHMC) and has deep hands-on experience with DLPAR, shared processor pool governance, and PowerHA recovery. Also brings modern DevOps/IaC capability—built Azure DevOps/GitHub CI/CD for Terraform + Kubernetes/Helm with strong security controls and resolved a production Terraform state-lock failure by redesigning backend locking and pipeline concurrency.

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DW

Senior Full-Stack Software Engineer specializing in cloud automation and applied AI

Seattle, WA11y exp
MicrosoftUniversity of Waterloo
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WN

Senior Full-Stack Software Engineer specializing in FinTech payments and risk systems

Atlanta, GA11y exp
StripeGeorgia State University
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VV

Executive IT & Cloud Architect specializing in AWS, Salesforce, and AI/ML

25y exp
Connected World TechMIT Sloan School of Management
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BT

Senior Cloud Engineer specializing in AWS/Azure infrastructure, DevOps, and cloud-native platforms

Remote10y exp
SnowflakeUniversity of Texas at Austin
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SS

Engineering Manager specializing in cloud identity and IAM platforms

11y exp
AmazonArizona State University
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LP

Mid-Level Backend/Payments Engineer specializing in scalable microservices

Cupertino, California5y exp
AppleIllinois State University
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WR

Senior DevOps/Platform Engineer specializing in Kubernetes and Go backend automation

San Francisco, CA13y exp
SegmentBucknell University
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ML

Senior Full-Stack Software Engineer specializing in React and Node/Python in regulated systems

Seattle, WA8y exp
AmazonUniversity of Illinois Urbana-Champaign
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EL

Intern Machine Learning & Cloud Engineer specializing in cloud-native deployment and forecasting

Plano, TX1y exp
SamsungCarnegie Mellon University
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DW

Staff Software Engineer specializing in real-time data pipelines and full-stack platforms

Houston, TX10y exp
SalesforceMonash University
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RD

Staff Software Engineer specializing in AI/ML and data engineering for healthcare automation

New York, NY11y exp
C8 HealthGeorgia Tech
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AC

Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms

San Antonio, TX11y exp
OptumUniversity of Houston
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CJ

Mid-Level Software Development Engineer specializing in AWS AI inference platforms

Seattle, WA4y exp
Amazon Web ServicesUniversity of Pennsylvania
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YW

Yishi Wang

Screened

Junior Machine Learning & Data Science professional specializing in LLMs and analytics

Chicago, IL3y exp
MintelNorthwestern University

Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.

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RH

Director-level Backend & Data Engineering Leader specializing in AWS serverless platforms

Austin, TX12y exp
AltorosTexas State University
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DW

Staff Full-Stack Engineer specializing in data engineering and real-time event platforms

Houston, TX10y exp
SalesforceMonash University
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IN

Staff Full-Stack & Platform Engineer specializing in cloud-native distributed systems

Houston, TX14y exp
AtlassianUniversity of Houston
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MG

Manaswini Gogineni

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in cloud infrastructure and full-stack web development

San Francisco, CA2y exp
CiscoUniversity of Wisconsin–Madison

Backend engineer at Electric Hydrogen who built a serverless device-log ingestion and processing platform in Python/Flask, scaling throughput (4x peak ingestion) while keeping sub-300ms API latency. Strong in Postgres/SQLAlchemy performance (partitioning, materialized views) and production ML integration (ONNX model served via FastAPI microservice with async batch inference, Redis feature caching, and drift monitoring via S3/Lambda). Experienced designing secure multi-tenant systems with schema-per-tenant isolation and KMS-backed encryption.

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HL

Hung-Chih Liu

Screened

Mid-level Distributed Systems & AI Infrastructure Engineer

Sunnyvale, CA3y exp
AmazonUCLA

Backend/full-stack engineer (Amazon experience) who built an AWS-based integration testing platform using Flask, ECS, Docker, and CloudWatch—cutting 1000+ test cases from ~5 hours to ~30 minutes while improving log visibility for non-engineering users. Also led a zero-downtime EU region migration with rigorous ORR testing, and built a Kinesis/Firehose/S3 + Glue/Spark replay mechanism for resilient data recovery. Side project: reproducible, cost-efficient LLM hosting platform on EKS using CDK and Karpenter for scale-to-zero.

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DS

Entry Software Engineer specializing in AI infrastructure and ML inference systems

Seattle, WA2y exp
AmazonUniversity of Illinois Urbana-Champaign
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