Vetted Error Handling Professionals

Pre-screened and vetted.

CW

Senior AI/ML Engineer specializing in NLP, LLMs, and retrieval systems

Austin, TX11y exp
OptiverCarnegie Mellon University
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KZ

Senior Software Engineer specializing in backend systems and data infrastructure

San Francisco, CA11y exp
MetaUniversity of Michigan
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CW

Senior DevSecOps Engineer specializing in secure cloud CI/CD and Infrastructure as Code

Austin, TX8y exp
OptiverCarnegie Mellon University
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GP

Entry-Level Software Engineer specializing in AI developer platforms

New York, NY1y exp
MetaHarvard College
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Kevin Wang - Senior Software Engineer specializing in cloud infrastructure and distributed systems in Adams, MA

Kevin Wang

Screened

Senior Software Engineer specializing in cloud infrastructure and distributed systems

Adams, MA8y exp
AmazonUniversity of Pennsylvania

Amazon engineer focused on productionizing LLM-powered developer workflows, including code assistance, debugging automation, and internal AI tooling. Stands out for combining hands-on ML systems work with strong platform engineering, including an orchestration engine that reportedly saved about $10K/day and reduced a manual workflow from 12 hours to under a second.

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AW

Senior Software Engineer specializing in AI-powered compliance platforms

Dallas, TX14y exp
MetaUniversity of Chicago
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SI

Entry Software Engineer specializing in large-scale infrastructure and distributed systems

Menlo Park, CA1y exp
MetaUSC

Early-career full-stack engineer with internship experience at Bloomberg and Capital One, shipping both data-heavy product features and AI-powered internal tools. Stands out for owning end-to-end user-facing systems, from spreadsheet-to-dashboard automation that cut workflows from hours to seconds to a BERT-based support chatbot that improved reliability by ~25%.

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RV

Staff Backend/Distributed Systems Engineer specializing in cloud observability and payments

Jersey City, NJ6y exp
SalesforceUniversity of Pennsylvania

Backend/full-stack engineer with experience building large-scale systems on Salesforce and eBay, including a sharded Oracle-backed personalization store used by millions of sellers and a Spring Boot microservice that executes scheduled payouts at high volume. Emphasizes production readiness via state-machine-based idempotency, strong observability (Splunk/Elasticsearch/PagerDuty), and extensive Selenium/Sauce Labs automation.

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BT

Staff Software Engineer specializing in FinTech backend systems

Rancho Palos Verdes, CA10y exp
PlaidUC Berkeley
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SB

Senior Full-Stack Software Engineer specializing in Java/Spring and modern web apps

Lanham, Maryland10y exp
GoogleUniversity of Buea
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CM

Junior Backend Software Engineer specializing in Generative AI systems

Seattle, WA2y exp
Amazon Web ServicesUC Berkeley
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HZ

Senior Software Engineer specializing in distributed systems and e-commerce platforms

Redmond, WA10y exp
AmazonUSC
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KL

Kevin Lee

Screened

Senior Software Engineer specializing in scalable backend and platform systems

Los Angeles, CA8y exp
Riot GamesUniversity of Waterloo

Backend/data engineer with hands-on production experience across GCP (FastAPI microservices on Kubernetes) and AWS (Lambda, ECS Fargate, Glue). Has modernized legacy SAS batch systems into Python services with parallel-run parity validation, and has strong operational rigor in ETL reliability/monitoring plus proven SQL tuning impact (25s to <300ms, ~60% CPU reduction).

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AS

Mid-level DevOps Engineer specializing in cloud-native infrastructure on AWS and Azure

CA, USA5y exp
StripeStevens Institute of Technology

DevOps/SRE focused on cloud-based distributed systems, with strong hands-on Kubernetes production experience (microservices deployments, Helm, probes, resource tuning, CI/CD and Docker build standardization). Demonstrated end-to-end troubleshooting across application, infrastructure, and networking layers—e.g., isolating degraded storage via node disk I/O metrics and restoring performance by draining the node and replacing the volume. Builds Python automation for operational reliability, including scheduled Kubernetes secrets rotation integrated with an external secret manager.

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Aditya Sawant - Mid-level Software Development Engineer specializing in robotics and cloud-based device management in North Reading, Massachusetts

Aditya Sawant

Screened

Mid-level Software Development Engineer specializing in robotics and cloud-based device management

North Reading, Massachusetts3y exp
AmazonUniversity of Texas at Austin

Amazon Robotics engineer who deployed and scaled the Lumos camera-based package scanning work cell across EU sort centers (100+ work cells in 5+ sites), enabling remote launches via detailed runbooks and troubleshooting. Strong in AWS IoT/edge systems, with hands-on incident recovery (restored 34 down work cells) and secure multi-compute certificate provisioning using IoT Jobs, ACM/CA, and custom roles; delivered ~75% per-cell cost reduction vs Cognex-based approach.

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Anthony Alvarez - Intern Software Engineer specializing in full-stack web and AWS workflow systems

Intern Software Engineer specializing in full-stack web and AWS workflow systems

1y exp
AmazonUC Berkeley
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MW

Senior Agentic AI & Backend Engineer specializing in LLM platforms and multi-agent systems

10y exp
MoveworksRutgers University
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DL

Entry-level Software Engineer specializing in distributed systems and full-stack development

Seattle, WA1y exp
AmazonDuke University
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CL

Staff Software Engineer specializing in backend platforms and cloud-native systems

Miami, FL14y exp
AmazonGeorgia Tech
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MZ

Matthew Zhan

Screened

Senior Full-Stack Engineer specializing in SaaS, distributed systems, and FinTech workflows

Texas, USA9y exp
DockYardUniversity of Texas at Austin

Full-stack engineer with strong startup experience across small distributed teams, owning everything from React UIs to Go services and Python data pipelines. He stands out for designing stable APIs and data models in ambiguous compliance-heavy environments, with measurable impact including a 38% reduction in manual cleanup and a 27% drop in customer-visible incidents. He has also worked deeply in B2B SaaS at Ashby, supporting mission-critical recruiting workflows where data correctness, permissions, and integration stability were essential.

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