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Vetted Gradle Professionals
Pre-screened and vetted.
Intern Full-Stack/AI Software Engineer specializing in cloud serverless and LLM systems
Senior Full-Stack Java Developer specializing in cloud-native microservices (FinTech/Healthcare)
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Senior Full-Stack Java Engineer specializing in microservices and cloud-native systems
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Senior DevOps/Site Reliability Engineer specializing in cloud infrastructure and automation
Mid-Level Full-Stack Software Engineer specializing in Java microservices and AWS
Senior QA Automation Engineer specializing in API/UI automation and CI/CD
Mid-level DevOps Engineer specializing in cloud infrastructure and Kubernetes
Mid-Level Software Engineer specializing in Java/Spring microservices for FinTech
Mid-Level Software Engineer specializing in cloud-native microservices and Healthcare IT
Senior Full-Stack Engineer specializing in Healthcare IT and FinTech
Senior Java Full-Stack Developer specializing in enterprise web apps and microservices
Senior DevOps & Site Reliability Engineer specializing in multi-cloud CI/CD and IaC
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Developer specializing in React and Python (Django/FastAPI)
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior Full-Stack Developer specializing in cloud-native microservices (AWS)
Anshul Joshi
Mid-Level Software Engineer specializing in distributed systems and GenAI
“Capgemini engineer with 4+ years building and deploying high-availability, low-latency fraud detection APIs and multi-cluster distributed systems for a Fortune 20 bank, including zero-downtime production rollouts and multi-layer (SQL/network/hardware) performance debugging. Also built a Python + OpenAI/LangChain LLM-powered grading workflow for Austin School for Women, cutting feedback time from 90 minutes to 5 minutes per submission for 200+ learners.”