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Vetted Java Full Stack Developers
Pre-screened and vetted.
Mid-level Java Full-Stack Developer specializing in Spring Boot microservices for banking and healthcare
Mid-Level Full-Stack Java Developer specializing in FinTech and payments
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and data platforms
Mid-level Full-Stack Java Developer specializing in Financial Services and Insurance
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Full-Stack Java Developer specializing in Spring Boot, AWS, and React
Mid-level Java Full-Stack Developer specializing in enterprise SaaS platforms
Mid-level Java Full-Stack Developer specializing in cloud-native microservices
Mid-level Full-Stack Developer specializing in payments and cloud-native microservices
Mid-level Full-Stack Developer specializing in FinTech and cloud microservices
Mid-level Java Full-Stack Developer specializing in microservices for banking and insurance
Mid-level Full-Stack Java Developer specializing in enterprise web applications
Senior Full-Stack Software Engineer specializing in Java/Spring Boot and AWS
Sai Mallesh Goud Dabbeti
Mid-Level Full-Stack Software Engineer specializing in Java, Spring Boot, and cloud microservices
“Frontend-focused JavaScript engineer who built Collabsync with real-time chat and file sharing using Socket.io, emphasizing reusable components, clear event contracts, and performance (minimizing React re-renders). Has experience at PwC building internal React/Angular dashboards and documenting insurance APIs, plus a contract role at Capital One delivering in fast-changing, loosely defined environments.”
Mid-level Full-Stack Java Developer specializing in Financial Services
Mid-level Full-Stack Java Developer specializing in microservices and cloud platforms
Mid-level Full-Stack Engineer specializing in Java microservices and FinTech
Chaitanya Movva
Mid-level Full-Stack Java Developer specializing in payments and event-driven microservices
“Full-stack engineer (backend-led) with recent experience building enterprise workflow orchestration and billing/payment platforms at Intuit using Java/Spring Boot (WebFlux), Kafka, Postgres/Redis, and React/TypeScript. Has operated at high scale (reported ~1200 RPS during month-end billing) and focuses on event-driven microservices, real-time UI updates via streaming, and disciplined API evolution with contract testing.”
Shishir Yadav
Mid-level Full-Stack Java Developer specializing in financial services and cloud-native microservices
“Software engineer in the mortgage/financial services domain (Freddie Mac) who builds end-to-end loan origination and credit risk capabilities using Spring Boot microservices, Angular dashboards, and data pipelines. Delivered measurable impact (30% reduction in underwriting turnaround time) and emphasizes production reliability/compliance with strong guardrails, observability, and evaluation loops for risk scoring systems.”
Ramya Thottempudi
Mid-level Full-Stack Software Engineer specializing in Java/Spring microservices and React
“Uber engineer who has owned internal products end-to-end across backend (Spring Boot microservices, MySQL) and frontend (React), including performance optimization and secure JWT-based auth. Also shipped a production internal RAG/embeddings LLM support assistant over policy docs and support tickets, with guardrails (confidence thresholds, human review) and an evaluation loop that directly reduced hallucinations.”
Anirudh Anilkumar
Mid-level Full-Stack Java Engineer specializing in FinTech
“Engineer with hands-on experience across frontend, backend, and data systems, including React/TypeScript UI work at CitiGroup, ETL pipeline ownership at Accenture, and personal 0→1 builds like an AI chatbot and a real-time multiplayer typing platform. Stands out for combining product-minded prioritization with strong implementation depth in performance optimization, type-safe frontend architecture, and resilient data pipeline design.”