Teams at CodeRoad

Senior QA Engineer responsible for functional, exploratory, integration, API, backend, and database testing across distributed logistics systems. The role builds automation for REST and gRPC microservices, validates data flows with SQL, investigates production issues, documents platform gaps, and integrates quality processes into CI/CD pipelines. It is a fully remote contractor position requiring strong technical communication and collaboration with U.S. engineering and operations teams.

Design, build, deploy, and scale production-ready autonomous AI agents and multi-agent workflows on AWS. Develop RAG pipelines, MCP integrations, vector database solutions, evaluation frameworks, observability, security controls, and human-in-the-loop guardrails. Lead cloud architecture, mentor nearshore engineering teams, optimize LLM application reliability, and communicate technical architecture to stakeholders.

Design, deploy, monitor, and optimize scalable MLOps pipelines and agentic AI systems in production. Manage cloud infrastructure, CI/CD and continuous training workflows, model monitoring, security, governance, compliance, and performance optimization. Collaborate with researchers, data scientists, engineers, and product teams to deliver reliable, ethical autonomous AI solutions.