Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in microservices and Angular/.NET
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and FinTech
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in full-stack web and backend systems
Mid-level Software Engineer specializing in ML, cloud microservices, and real-time analytics
Mid-Level Full-Stack Java Developer specializing in FinTech and cloud microservices
Mid-Level Software Engineer specializing in Java microservices and cloud-native development
Senior Full-Stack Software Engineer specializing in AI/ML and LLM automation
Senior Full-Stack Engineer specializing in React, AWS, and API-driven platforms
Mid-Level Full-Stack Software Developer specializing in Java/Spring and JavaScript
Mid-Level Software Engineer specializing in full-stack web development and cloud
Mid-level Data Scientist / Software Engineer specializing in AI automation and cloud microservices
Mid-level Software Engineer specializing in full-stack and AI-enabled platforms
Mid-level Software Engineer specializing in Java/Spring Boot microservices
Mid-level Backend Software Engineer specializing in AI-powered microservices and cloud infrastructure
Senior Backend/Infrastructure Engineer specializing in Python microservices and AWS
Senior Java Full-Stack Developer specializing in microservices and cloud (AWS)
Mid-Level Software Engineer specializing in full-stack systems and authentication
Senior Frontend Engineer specializing in React, Node.js, and AWS
“Frontend engineer who led the Dash Merchant App and Backoffice platform (React/TypeScript/Redux) supporting $50M+ in monthly transactions. Focused on scalable architecture and reliability—introduced typed API layers, centralized error handling, and performance optimizations (including ~40% load-time reduction) while driving team adoption through incremental refactors, templates, and pairing.”
Mid-level Software Engineer specializing in cloud-native microservices, DevOps, and SRE
“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”
Mid-level Data Scientist specializing in Generative AI and LLMOps
“Built a production-grade, semi-automated document recognition and classification system for large volumes of scanned PDFs, starting from little/no labeled data and handling highly variable scan quality. Deployed on AWS using SageMaker + Docker and orchestrated on EKS with a microservices design that scales CPU-heavy OCR separately from GPU inference, with strong reliability controls (validation, fallbacks, retries, readiness probes).”