Pre-screened and vetted in the DFW Metroplex.
Senior Full-Stack & AI Engineer specializing in cloud microservices and RAG systems
Senior Full-Stack Software Engineer specializing in cloud-native microservices and AI/ML
Mid-Level Full-Stack Software Engineer specializing in React and Java microservices
Mid-level Full-Stack Developer specializing in FinTech and modern web platforms
Mid-level Full-Stack Developer specializing in Angular and Spring Boot for Healthcare IT
Mid-level Backend Software Engineer specializing in cloud-native microservices and AI automation
Mid-level Software Engineer specializing in Java microservices and enterprise platforms
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native applications
Mid-level Full-Stack Developer specializing in FinTech and Healthcare IT
Senior Software Engineer specializing in compliance, FinTech, and healthcare platforms
Senior Full-Stack Software Engineer specializing in .NET enterprise web systems
Senior Software Engineer specializing in cloud-native backend and data platforms
Senior Software Engineer specializing in cloud-native microservices and secure enterprise platforms
“Full-stack engineer with strong production ownership in banking/identity & entitlements systems, building Spring Boot + Postgres/Redis services and React dashboards, then deploying on AWS EKS with Jenkins CI/CD. Demonstrated impact through reduced authorization latency and fewer access-related support tickets, plus strong observability and reliability practices (CloudWatch, tracing, autoscaling, Kafka pipelines with DLQs and reconciliation).”
Mid-level Software Engineer specializing in Java backend microservices
“Backend/distributed-systems engineer focused on automation and near-real-time processing, building Java/Spring Boot microservices with Kafka, PostgreSQL, and AWS. Strong in scaling and reliability work—debugging tricky asynchronous messaging issues (delays, duplicates, out-of-order events) and improving resilience/observability with retries, fallbacks, logging, and monitoring. No production ROS/ROS2 experience yet, but has studied core ROS concepts and draws clear parallels to event-driven architectures.”
Mid-level Software Engineer specializing in Python backend and AI applications
“ML engineer at CGI who built demand forecasting models end-to-end, from feature engineering and training through AWS deployment. Stands out for a production-first mindset and strong skepticism of AI-generated code, including catching a Copilot-generated SQL query that would have caused a costly full table scan in production.”
Junior Full-Stack Software Engineer specializing in backend systems and web applications
“Built an AI-powered document extraction system at Copart that moved from initial POC to rollout across multiple yards, with customer-driven iteration including batch processing. Has hands-on full-stack experience spanning Java/Spring Boot backends, React frontends, and LLM-based workflows, with attention to reliability through multi-LLM fallback, retries, and post-processing.”
Senior Software Engineer specializing in cloud-native microservices (AWS, Java, Kafka)
“Backend engineer with hands-on experience modernizing high-volume transactional systems by decomposing monoliths into Spring Boot microservices on AWS, using Kafka for async workflows and Redis/SQL tuning for latency. Has built Python/FastAPI services with strong API contracts and production-grade security (OAuth2/JWT, RBAC, row-level security), and proactively hardened payment flows against race conditions and double-charging via idempotency.”
Senior Full-Stack Developer specializing in Python microservices and cloud-native AWS deployments
“Backend engineer with hands-on ownership of FastAPI/Django services using MongoDB and React integration, focused on production reliability and performance (Redis caching, Celery background jobs, automated testing). Has delivered AWS container deployments via GitHub Actions to ECR with scripted rollouts/health checks, and supported phased migrations with replication and rollback planning. Also built a real-time user-activity streaming pipeline addressing partition hot spots and consumer lag through partition-key strategy, idempotency, and monitoring.”