Pre-screened and vetted.
Mid-level Full-Stack Engineer specializing in cloud-native Java microservices
“Software engineer using AI pragmatically to accelerate development while keeping human review central to quality. Has hands-on experience applying AI and lightweight multi-agent workflows in a microservices environment spanning Java Spring Boot APIs, React modules, and Kafka event flows, with strong emphasis on architecture validation and production safeguards.”
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
“Candidate has hands-on experience at Cognizant building production-grade automation and integration solutions across Python ML services, Java microservices, Kafka, and Selenium-based UI testing. They stand out for a strong reliability mindset—covering failure modes, observability, flaky test hardening, and translating ambiguous payment-system business processes into resilient end-to-end automated workflows.”
Mid-level Software Engineer specializing in FinTech and AI/ML
“Full-stack engineer with payments/settlement domain experience who modernized a payment tracking workflow from REST to GraphQL and delivered a production payment status dashboard using Next.js App Router + TypeScript. Strong in performance and reliability work (Postgres indexing/Explain Analyze, Redis caching, Datadog observability) and in durable event-driven processing with Kafka (DLQs, idempotency, reconciliation, event replay).”
Senior Frontend Developer specializing in scalable React/TypeScript web applications
“Frontend engineer who led a React/TypeScript real-time live-streaming web platform end-to-end, including interactive chat, live polling, and monetization (subscriptions/tipping via Authorize.Net). Built a scalable component system (Tailwind + Storybook) and handled complex real-time state with optimistic UI patterns across WebSocket and server-validated events, collaborating closely with product/design (Figma) and QA in an agile release cadence.”
Mid Software Engineer specializing in enterprise SaaS and FinTech
“Frontend-leaning full-stack engineer who modernized a legacy jQuery-based product information management platform into a more modular React application and owned analytics dashboard integration across UI, APIs, and data flows. Brings strong experience with enterprise releases, TypeScript modeling for complex API data, and performance optimization for large, data-heavy product and analytics interfaces.”
Mid-Level Software Engineer specializing in distributed systems and event-driven microservices
Mid-level Backend Software Engineer specializing in Java microservices and Azure cloud
Mid-level Software Engineer specializing in secure full-stack microservices
Mid-level Full-Stack Software Engineer specializing in healthcare and enterprise web applications
Senior Full-Stack Software Engineer specializing in healthcare and e-commerce platforms
Senior Full-Stack Software Engineer specializing in React and scalable web applications
Senior Software Engineer specializing in full-stack cloud-native enterprise systems
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Mid-Level Full-Stack Java Developer specializing in Spring Boot, React, and AWS
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Junior Full-Stack Software Engineer specializing in web apps and AI-powered RAG systems
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
“Software engineer/product-minded builder who owns customer-facing products end-to-end and ships in 1–2 week increments using CI/CD, automated testing, and feature flags. Built a TypeScript/React/Node platform that cut page load times by 40% and scaled to 3x concurrent users, and designed RabbitMQ-based microservices with Prometheus/Grafana monitoring. Also delivered an internal real-time support analytics dashboard that reduced response times by 30%.”
Mid-level Full-Stack Software Engineer specializing in cloud microservices and AI search
“Robotics software engineer focused on backend/integration for indoor autonomous mobile robots, with hands-on ROS 2 experience integrating Nav2/AMCL/TF2 and LiDAR/camera pipelines. Emphasizes production readiness—robust failure recovery, QoS-tuned distributed communication, and strong observability (logging/health checks)—validated through Gazebo simulation, sensor-data replay debugging, and Docker-based CI/CD deployment.”