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Vetted Idempotency Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud ETL/ELT and lakehouse architectures
Entry Backend Engineer specializing in distributed automation systems
Mid-level Software Engineer specializing in cloud-native distributed systems and backend platforms
Senior Software Engineer specializing in cloud-native microservices and FinTech
Mid-level Full-Stack Software Engineer specializing in LLM/RAG systems in FinTech
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Senior Data Engineer specializing in Azure Lakehouse and LLM/ML data platforms
Senior AI/ML Software Engineer specializing in healthcare NLP and search
Senior Software Engineer specializing in cloud-native SaaS, IoT, and GenAI platforms
Senior Full-Stack Software Engineer specializing in FinTech fraud and identity platforms
Mid-level Full-Stack Engineer specializing in FinTech and real-time distributed systems
Mid-level Full-Stack Developer specializing in FinTech microservices
Senior Full-Stack Engineer specializing in cloud-native microservices and AI solutions
Mid-level Java Full-Stack Developer specializing in microservices and cloud-native systems
Mid-Level Full-Stack Software Engineer specializing in AI-native workflows
Banchode Hari
Mid-level Full-Stack Developer specializing in microservices and event-driven systems
“Full-stack engineer with end-to-end ownership of a production customer plan activation and account management flow at T-Mobile, spanning Java/Spring Boot APIs, React frontend, and Docker-based CI/CD deployments. Demonstrated performance/scalability work (query optimization, indexing, caching) and measured success via improved retrieval speed and reduced support tickets.”
vedavathi thumula
Mid-level GenAI/ML Engineer specializing in agentic AI and RAG systems
“Backend/platform engineer who has owned a Python/FastAPI results API and deployed it on Kubernetes with Helm and GitHub Actions-driven CI/CD. Demonstrates strong production operations mindset across performance tuning, monitoring, safe rollouts/rollbacks, and phased migrations, plus hands-on Kafka streaming experience focused on ordering and idempotency.”