Pre-screened and vetted.
Mid-level Full-Stack Java Developer specializing in cloud microservices and React
Mid-Level Software Engineer specializing in backend, microservices, and cloud platforms
Senior Data Engineer specializing in cloud lakehouse platforms for banking and healthcare
Senior Java Full-Stack Developer specializing in cloud-native FinTech and payments
Mid-level Python Backend Engineer specializing in cloud-native microservices and event-driven systems
Senior Full-Stack Software Engineer specializing in cloud-native microservices and event-driven systems
Mid-level Data Engineer specializing in cloud data pipelines and analytics (AWS/Azure)
Senior Software Engineer specializing in C#/.NET microservices and real-time systems
Mid-level Software Engineer specializing in backend systems and cloud platforms
Senior Full-Stack Engineer specializing in AI-driven SaaS platforms
Principal Full-Stack Engineer specializing in cloud-native platforms and AI-powered developer tools
Mid-level Software Engineer specializing in AI-driven full-stack systems
Senior Backend Software Engineer specializing in FinTech and distributed systems
Mid Software Developer specializing in Java microservices and cloud-native systems
Senior Full-Stack Engineer specializing in React, microservices, and cloud applications
Executive technology leader specializing in AI-driven HealthTech and SaaS
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
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.”