Pre-screened and vetted.
Mid-level Full-Stack Java Developer specializing in cloud-native web applications
Mid-level Backend Software Engineer specializing in Java microservices and cloud-native systems
Mid-level Full-Stack Java Developer specializing in cloud microservices and React
Senior Java Full-Stack Developer specializing in cloud-native FinTech and payments
Senior Full-Stack Developer specializing in Java microservices and AWS cloud
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Java Engineer specializing in cloud microservices and FinTech/insurance platforms
Mid-Level Full-Stack Java Developer specializing in Spring Boot microservices and Angular
Senior Full-Stack Software Engineer specializing in microservices and cloud-native systems
“Backend engineer from insurance/enterprise platforms with a focus on high-performance, real-time, event-driven microservices. Brings strong distributed-systems communication design plus mature testing, Docker containerization, and CI/CD practices; no direct robotics/ROS experience.”
Senior Software Engineer specializing in backend APIs and cloud-native services
Mid-level Full-Stack Developer specializing in cloud-native microservices and AI/ML integration
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
Mid-level Full-Stack Developer specializing in cloud-native FinTech and AI integrations
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in FinTech, Healthcare IT, and Generative AI
“Full-stack + ML engineer who built “Finsight,” a real-time financial risk platform (React/FastAPI/MongoDB/AWS Lambda) processing 2M+ records monthly, using sharding and Redis caching (60% DB load reduction) plus async and batch optimizations. Also has healthcare product experience at Apollo Healthcare, partnering directly with clinicians/admins to design and iterate EHR dashboards via Figma prototyping and user testing, and demonstrates clear system design thinking for real-time voice-to-LLM architectures.”