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Vetted Amazon EC2 Professionals
Pre-screened and vetted.
Intern Full-Stack Software Engineer specializing in cloud deployment and data analytics
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot, React, and AWS
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and Voice AI
Mid-level Back-End Engineer specializing in scalable APIs and multi-tenant systems
Mid-level DevOps & Customer Success Engineer specializing in cloud, networking, and GenAI
Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines
Junior Full-Stack Developer specializing in Django/React and cloud-native APIs
Mid-level Full-Stack AI Engineer specializing in agentic AI and RAG systems
Intern Software Engineer specializing in backend, AI, and full-stack web systems
Junior Java Full-Stack Developer specializing in healthcare web applications
Mid-level DevSecOps Engineer specializing in AWS cloud security
Umair Shamoon
Mid-level Full-Stack Developer specializing in MERN/MEAN and cloud-native web apps
“Frontend engineer with end-to-end ownership of React/Next.js products, focused on scalable component-based architecture and quality via CI/CD, automated testing, and disciplined PR reviews. Built React + TypeScript dashboards with role-based views using Zustand, and improved existing codebases by decoupling components and boosting performance through code splitting, lazy loading, and standardized shared components.”
Gabe Hoing
Intern-level software engineer specializing in full-stack and data systems
“Built an AI agent management system in a senior design project to support cybersecurity analysts with gathering and triaging emerging threat intelligence from sources like CISA. Stands out for a thoughtful, production-minded approach to AI development, using specialized agents, strict output schemas, and deterministic controls to manage failure cases.”
“Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.”
Lalith Kambala
Junior Full-Stack Engineer specializing in AI-powered web applications
“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”
Hashir Umar
Senior Full-Stack Software Engineer specializing in AWS, TypeScript, and scalable microservices
“Frontend engineer who led the end-to-end UI for a virtual trivia/multiplayer game, including architecture (component-driven + design system), quality practices (TypeScript, linting/formatting, unit + E2E tests), and real-time synchronization for ~100 concurrent players using Pusher. Emphasizes pixel-perfect, mobile-first responsive delivery with Tailwind and design tokens, plus ongoing refactors for reusability and performance.”
Thimone Noupa
Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation
“DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.”
Mid-Level Full-Stack Engineer specializing in React, TypeScript, and Node.js