Pre-screened and vetted.
Mid-level Supply Chain Analyst specializing in analytics, ERP/TMS integration, and optimization
Mid-level Paid Search Specialist specializing in SEM and multi-platform paid media
Lead Software Engineer & Manager specializing in Python and JS/TS full-stack systems
Mid-Level Full-Stack Developer specializing in GenAI and web applications
Mid-level Full-Stack Java Developer specializing in microservices and cloud
Mid-level QA/Systems Analyst specializing in test tooling, observability, and healthcare data migration
Mid-level Requirements & QA Analyst specializing in requirements management and test automation
Principal QA Engineer specializing in web, SaaS, and cloud test automation
Senior QA Automation Engineer specializing in analytics and multi-platform test automation
Senior Video Editor specializing in social media, documentary, and podcast content
Director-level Creative Director / Video Editor specializing in branded and broadcast storytelling
Junior Full-Stack Software Engineer specializing in AWS serverless and Python
Mid-level Full-Stack Software Developer specializing in cloud-native microservices
Mid-level Full-Stack Software Developer specializing in Django/React and cloud-native systems
Mid-level Data Scientist specializing in ML, NLP, and forecasting across finance and retail
Mid-Level Full-Stack Software Engineer specializing in AWS cloud-native web apps
Junior Data & AI Analyst specializing in BI, LLM applications, and analytics
Mid-level QA Automation Engineer specializing in Selenium, API testing, and CI/CD
Senior DevOps/Cloud Engineer specializing in multi-cloud infrastructure and CI/CD automation
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Senior QA Analyst specializing in web and CMS testing
Mid-Level Full-Stack Software Engineer specializing in TypeScript, React/Next.js, and Node/Nest APIs
“Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.”