Pre-screened and vetted in Texas.
Senior Full-Stack Engineer specializing in AI, computer vision, and real-time systems
Junior Software Engineer specializing in backend, cloud, and full-stack web development
Mid-Level QA Engineer specializing in manual, API, and cross-platform testing
Mid-level Full-Stack Software Engineer specializing in logistics microservices
Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare
Mid-level Robotics & Embedded Software Engineer specializing in multi-robot systems
Mid-level Software Engineer specializing in backend systems and AI applications
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Senior Cloud & DevOps Engineer specializing in AWS migration, IaC, and CI/CD
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Senior Software Engineer specializing in cloud-native microservices
Mid-level Backend Engineer specializing in Python APIs, event-driven systems, and Kubernetes
“Backend Python engineer who owned a real-time manufacturing insights streaming service, building FastAPI async microservices with Kafka-style queue buffering, batching/backpressure, and a low-latency snapshot store. Led a serverless-to-Kubernetes (EKS) migration at UGenomeAi using GitOps-style GitHub Actions pipelines, standardized config/secrets, and improved deployment consistency with pinned dependencies and multi-stage Docker builds.”
Intern Network/Applied Engineer specializing in cloud security and Kubernetes
“Security-focused engineer with hands-on experience implementing and troubleshooting security tooling (including an open-source SIEM) and integrating SCA/container scanning into AWS/EKS and GitHub Actions pipelines. Demonstrates strong cloud security fundamentals (least-privilege IAM, IRSA, private subnet/VPC design, CloudTrail/GuardDuty) and can translate security-usability tradeoffs (e.g., password policy and 2FA) to different stakeholders.”
Mid-Level Software Engineer specializing in backend microservices and AI/ML integration
“Built and shipped production LLM-driven pipelines for clinical data processing, turning semi-structured inputs into validated structured outputs for downstream analytics. Emphasizes predictability and safety via strict JSON schemas, state-machine orchestration, backend-controlled tool calling, and robust fallbacks (rule-based checks/manual review) plus monitoring and offline/online evaluation loops; also has experience hardening workflows against messy ERP/finance data with idempotency and state tracking.”
Mid-level QA Lead specializing in Salesforce and web/mobile quality assurance
Mid-level Software Engineer specializing in Linux systems and backend development
Mid-level Software Engineer specializing in cloud microservices and AI search
Mid-level Full-Stack Developer specializing in TypeScript/Node.js and AI-powered web apps
Mid-level Frontend Engineer specializing in React, micro-frontends, and AWS
Mid-level Front-End Developer specializing in Vue.js and Nuxt web applications
Mid-level Full-Stack Software Engineer specializing in AI, data pipelines, and cloud-native apps