IT staffing and consulting firm serving North America across infrastructure, engineering, and government sectors
Cynet Systems is a staffing and consulting firm positioned across IT infrastructure, engineering, and government contracting. The tech stack reveals an unusual mix: deep ML libraries (PyTorch, TensorFlow, JAX, NumPy, Pandas) alongside legacy Planning Analytics (TM1), C/C++ systems work, and QNX embedded systems — suggesting either specialized technical recruiting verticals or internal analytics modernization efforts. Hiring velocity is accelerating with 15 roles posted in the last 30 days, skewed heavily toward sales (14 roles) while engineering remains constrained (4 roles), a classic staffing-firm hiring pattern where sales outpaces delivery bench.
Notable leadership hires: Business Development Director
Cynet Systems supplies IT talent and consulting services to enterprises across North America, specializing in infrastructure consulting, engineering staffing, government contracting, healthcare and life sciences recruiting, and RPO (Recruitment Process Outsourcing). Based in Sterling, Virginia (Washington DC Metro area), the firm operates across 1,001–5,000 employees with hiring in the United States, Canada, and Philippines. Core challenges include reducing time-to-fill for staffing requests, managing credentialing compliance for regulated verticals, and accelerating account growth — typical operational friction points in high-velocity recruiting businesses. Active projects span sales pipeline automation, account expansion, and modernization of legacy Planning Analytics environments (TM1 v2.0 to v2.1 migration), alongside engineering project planning and referral-program development.
C, C++, Linux, QNX, IBM Planning Analytics (TM1), Python with PyTorch, TensorFlow, NumPy, Pandas, plus HubSpot for CRM and WordPress for web infrastructure.
Sterling, Virginia, in the Washington DC Metro area. The firm has 1,001–5,000 employees and operates across North America with hiring in the United States, Canada, and Philippines.
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