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Vetted Microservices Professionals
Pre-screened and vetted.
Principal Cloud & Data Architect specializing in AI-enabled AWS platforms
Senior Software Engineer specializing in full-stack cloud-native enterprise systems
Director-level engineering leader specializing in AI healthcare platforms
Mid-level Full-Stack Software Engineer specializing in cloud backends and applied AI
Senior Full-Stack Engineer specializing in Python and AWS-native application development
Senior Software Engineer / DevOps specializing in cloud-native distributed systems
Senior .NET Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in Python web platforms and cloud systems
Senior Full-Stack Engineer specializing in backend systems and cloud-native platforms
Executive Engineering Leader (CTO/SVP) specializing in high-load platforms and GenAI/LLM systems
Senior Full-Stack Java Developer specializing in AWS cloud and microservices
Mid-level Full-Stack Engineer specializing in web platforms and financial systems
Junior Full-Stack Software Engineer specializing in web apps and AI-powered RAG systems
Staff Engineer specializing in applied AI and healthcare platforms
Executive CTO and venture builder specializing in AI-native SaaS and consulting
Chathrapathi Nikhil Kandagatla
Mid-level Full-Stack Software Engineer specializing in React/Node and cloud-native web apps
“Full-stack engineer who built and iterated a CRM dashboard at ReplyQuick by sitting with end users, prioritizing blockers, and shipping frequent updates—improving usability and performance enough to replace a spreadsheet workflow within ~2 months. Demonstrates strong security fundamentals (OAuth2/JWT + RBAC) and practical microservices experience (decoupling a CRM API from a PDF-processing service via async processing and status tracking).”
Chukwuebuka Ernest-Opara
Mid-Level Full-Stack Software Engineer specializing in Cloud, DevOps, and Platform Engineering
“Backend/Node.js-focused engineer who improved a widely used shared config/logging utility library by fixing a real-world async race condition (single disk read under concurrency) and adding stronger validation/testing, resulting in more deterministic services and faster startup/build/CI times. Also builds internal platform automation spanning Python/Go/TypeScript with strong documentation practices and security-conscious customer onboarding (e.g., sensitive Kubernetes clusters, HashiCorp Vault access issues).”
Rachana Ramesh
Mid-Level Software Engineer specializing in backend microservices and cloud-native systems
“Full-stack TypeScript engineer who has owned a real-time workflow/communication platform end-to-end in production (Node/TS + React, Postgres/Redis, Kafka, Docker/CI/CD). Demonstrates strong distributed-systems pragmatism—designing for failure with retries, DLQs, idempotency keys, and atomic writes—plus operational practices like structured logging, monitoring, and zero-downtime deployments.”