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Vetted Java EE Professionals
Pre-screened and vetted.
Senior Software Engineer specializing in cloud-native, event-driven platforms and AI
Senior Full-Stack Software Engineer specializing in cloud platforms and AI evaluation
Mid-Level Full-Stack Java Developer specializing in cloud-native microservices
Staff Software Engineer specializing in cloud-native microservices for financial platforms
Executive Technology Leader (CTO/CIO) specializing in cloud, AI, and enterprise transformation
Staff Software Engineer specializing in scalable backend systems and observability
Mid-level Software Engineer specializing in cloud-native microservices and full-stack systems
Staff Software Engineer specializing in frontend platforms and healthcare UX
Mid-Level Software Engineer specializing in FinTech, Treasury, and Compliance Systems
Staff Software Engineer specializing in cloud-native distributed systems for healthcare
Engineering Manager and Staff Software Engineer specializing in ML platforms and FinTech risk
Mid-Level Software Engineer specializing in FinTech, treasury systems, and real-time data pipelines
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Principal Systems & Software Engineer specializing in IVD/medical device compliance and genomics
Mid-level Full-Stack Developer specializing in React, Node.js, and Spring Boot
Meghana kanakam
Mid-Level Java Developer specializing in FinTech microservices
“Backend/platform engineer with deep payments experience who built and operated a real-time transaction routing service end-to-end on AWS (Spring Boot, PostgreSQL/RDS, Redis, Kubernetes), delivering ~40% latency reduction and 99.99% uptime via strong resiliency and observability practices. Also productionized an internal LLM-powered RAG knowledge assistant with guardrails and a user-feedback-driven evaluation loop, and has led incremental monolith-to-microservices modernization using Strangler Fig and shadow traffic.”
Shubham Singh
Mid-level Software Engineer specializing in LLM systems and intelligent search
“Backend engineer from Palantir who built and productionized an enterprise LLM-based document intelligence/search platform, evolving it into a hybrid lexical+vector retrieval system. Emphasizes reliability and cost control via strict LLM gating, robust fallback paths, and evaluation frameworks (e.g., MMLU/BLEU), plus disciplined migration practices (feature flags, dual-writes, shadow reads) to ship changes safely at scale.”
Director-level Technology Leader specializing in IoT, cloud platforms, and wireless networking
Junior Full-Stack Developer specializing in cloud-native microservices
Mid-Level Software Engineer specializing in FinTech, treasury systems, and compliance platforms