Pre-screened and vetted in Texas.
Staff Software Engineer specializing in Python APIs and AWS-native data platforms
Mid-Level Software Engineer specializing in full-stack web development and cloud
Junior Full-Stack Software Developer specializing in Java microservices and cloud CI/CD
Junior Full-Stack Python Developer specializing in cloud-native web applications
Junior Software Engineer specializing in full-stack web apps and REST APIs
Mid-Level Software Engineer specializing in IoT platforms and data pipelines
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Senior Cloud Infrastructure Engineer specializing in Microsoft Azure
Senior Game & Full-Stack Software Developer specializing in Unity and Unreal
Director-level engineering leader specializing in platform modernization and cloud architecture
Senior Full-Stack .NET Developer specializing in healthcare IT and SaaS
Mid-level Full-Stack Software Engineer specializing in web applications and cybersecurity platforms
Senior Full-Stack Engineer specializing in e-commerce and FinTech
Senior Full-Stack Engineer specializing in React, Python, and AI-driven SaaS
Mid-level QA Automation Engineer specializing in web, API, and mobile test automation
Director-level VR Game Programmer specializing in Unity and QA leadership
“Unity/VR gameplay engineer who has shipped full games and built a robust coin economy + massive gear customization system (over a million combinations) backed by a cloud service. Notably discovered and fixed a severe backend security flaw by adding proper authentication (security key + OAuth2), and has hands-on VR performance optimization experience (OVR Metrics, LOD/mipmaps, imposters) plus multiplayer sports sync design using Photon PUN2.”
Junior AI/ML Software Engineer specializing in LLM agents and RAG systems
“AI/back-end engineer at Canon who helped build and operate an internal production LLM platform that acts as a secure middle layer between users and models, defending against jailbreaks/prompt injection while enabling RAG, memory, and grounded responses over company data. Experienced with LangChain/LangGraph orchestration, vector DB retrieval, and reliability practices (testing, monitoring, adversarial prompts) to run high-throughput, low-latency AI workflows in production.”