.png){kind=logo}
Vetted Backend Development Professionals
Pre-screened and vetted.
Junior Software Development Engineer specializing in cloud and full-stack development
Entry-level Full-Stack Software Engineer specializing in streaming infrastructure
Mid-Level Full-Stack Software Engineer specializing in ERP/CRM systems
Junior Full-Stack Software Engineer specializing in Spring Boot, React, and mobile apps
Director-level Technical Leader specializing in healthcare IT, e-commerce automation, and crypto data platforms
Senior Unity/AR/VR Engineer specializing in immersive mobile experiences
Junior Backend Engineer specializing in Python/Django and subscription-based systems
Mid-level Software Engineer specializing in AI agent workflows
Senior AI Engineer specializing in LLMs, agentic systems, and ML infrastructure
Staff Data Engineer specializing in cloud data platforms and distributed databases
Saif Sarhan
Entry Python Backend Engineer specializing in AI automation and scalable APIs
“Built a solo full-stack equipment manager app for the game Dragon's Dogma, scraping a wiki with Beautiful Soup, transforming data to JSON, modeling armor/weapon schemas, and integrating everything into a PostgreSQL-backed API with caching. Dockerized and deployed the application to the web.”
Junior Frontend Developer specializing in web apps and UI/UX design
Junior Full-Stack Developer specializing in React, Node.js, and SQL
Junior QA Engineer specializing in manual and API testing with growing automation skills
Entry-Level Software Engineer specializing in backend services and applied ML
Intern Full-Stack Software Engineer specializing in web applications
Junior Backend & Cloud Engineer specializing in AWS and scalable systems
Senior Unity & Backend Systems Engineer specializing in multiplayer and cloud backends
Mike Fernandez
Mid-Level Software Engineer specializing in cloud data platforms and CI/CD
“AI/LLM engineer who has owned end-to-end production delivery of multi-agent RAG systems on Azure (React + FastAPI + data pipelines + Terraform), including rigorous evaluation/monitoring and reliability guardrails. Shipped an AI-driven observability root-cause analysis assistant that reduced MTTR ~30%, cut alert noise ~20%, and reached ~70% adoption in the first month; also built a clinical document Q&A system with citations and compliance-oriented controls.”
Junior Software Engineer specializing in .NET backend and cloud-deployed real-time systems