Pre-screened and vetted.
Senior Full-Stack Software Engineer specializing in AWS microservices and AI/LLM integration
Mid-Level Software Engineer specializing in Salesforce and AI automation
Senior Full-Stack Software Engineer specializing in cloud-native microservices and applied AI in FinTech
Mid-Level Software Engineer specializing in cloud-native microservices on AWS and Azure
Mid-level Full-Stack Python Developer specializing in cloud-native APIs and React
Mid-Level Software Engineer specializing in Java microservices and cloud/GenAI
Mid-level Backend Software Engineer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in React/Node.js for healthcare platforms
Mid-level Full-Stack Java Developer specializing in microservices, ML integration, and production support
Senior Full-Stack Python/AI Engineer specializing in RAG and cloud microservices
Senior Software Engineer specializing in cloud-native microservices and full-stack development
Mid-level Software Engineer specializing in backend systems, cloud platforms, and AI services
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in AWS cloud backends and ML systems
Mid-level Full-Stack Developer specializing in Java/Spring and modern web apps
Mid-level Backend Engineer specializing in cloud-native microservices and AI-driven APIs
Mid-level Software Engineer specializing in FinTech data pipelines and backend systems
Mid-Level Software Engineer specializing in backend, microservices, and cloud platforms
Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
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.”