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Vetted Full Stack Java Developers
Pre-screened and vetted.
Mid-level Full-Stack Java Developer specializing in microservices and cloud on AWS
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Junior Full-Stack Software Developer specializing in FinTech and enterprise applications
Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms
Mid-Level Full-Stack Java Developer specializing in FinTech microservices
Mid-Level Full-Stack Java Developer specializing in FinTech microservices
Mid-level Java Full-Stack Developer specializing in microservices and cloud-native apps
Mid-Level Full-Stack Java Developer specializing in cloud microservices and Angular
Mid-level Full-Stack Developer specializing in Java/Spring microservices and React
Mid-level Full-Stack Java Developer specializing in microservices and AWS
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Mid-level Full-Stack Java Engineer specializing in cloud-native microservices (Healthcare & FinTech)
Mid-level Software Engineer specializing in backend microservices and cloud-native systems
Senior Full-Stack Java Engineer specializing in cloud-native microservices and FinTech integrations
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Silpa Bhavani
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
“Software engineer with strong compliance-domain experience who built a customer-facing compliance and reporting dashboard using React/TypeScript with Spring Boot microservices. Demonstrates mature production engineering practices—contract-first APIs, event-driven architecture (Kafka/RabbitMQ), caching (Redis), and robust CI/CD + observability (Prometheus/Grafana/ELK)—and also created a Python-based audit automation tool adopted into the standard release process.”
Satya K
Mid-level Full-Stack Java Developer specializing in enterprise cloud applications
“Backend engineer with hands-on experience building event-driven Java/Spring Boot and Kafka systems, plus AI-assisted document-classification workflows in enterprise environments. Stands out for a thoughtful, risk-aware approach to AI: uses it to accelerate delivery, but emphasizes validation layers, confidence thresholds, observability, and human review before AI can affect downstream business actions.”
Vaman Rao
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native web apps
“Backend engineer focused on Python/FastAPI microservices, with hands-on experience deploying to AWS (EKS/ECR) via Jenkins and GitOps-style workflows using ArgoCD. Has built and stabilized real-time Kafka payment-event streaming pipelines and improved production performance under peak load through Redis caching, SQL optimization, and robust retry/DLQ patterns. Also supported phased migrations from on-prem environments to AWS with gradual traffic shifting and monitoring.”