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Vetted Azure Kubernetes Service Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in cloud-native microservices and GenAI RAG systems
Mid-level Machine Learning Engineer specializing in multimodal vision-language models
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Principal DevOps Engineer specializing in multi-cloud SRE and healthcare compliance
Senior Full-Stack Engineer specializing in BI, eCommerce, and Web3 gaming
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Senior DevSecOps Engineer specializing in secure cloud CI/CD and infrastructure as code
Mid-Level Full-Stack Software Engineer specializing in backend systems and event-driven architecture
Senior Software Engineer specializing in cloud-native microservices and AI/ML automation
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Senior Full-Stack Java Developer specializing in cloud-native microservices for FinTech
Senior Full-Stack & AI Engineer specializing in FinTech and Healthcare
Mid-level Full-Stack Developer specializing in modern web apps and cloud platforms
Mid-Level Software Engineer specializing in cloud microservices and AI automation
Senior Full-Stack Engineer specializing in Python, React, and cloud-native web platforms
Mid-level DevOps/Cloud Engineer specializing in CI/CD, IaC, and Kubernetes on AWS/Azure
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Sana Khan
Mid-Level Software Developer specializing in cloud-native microservices, iOS, and ML deployment
“Backend engineer with production ERP experience deploying microservices and improving performance/reliability using a metrics-driven approach (logs, latency, error rates). Has hands-on cloud/hybrid operations across AWS and Azure with Docker/Kubernetes, and has resolved real-world mobile sync issues by tuning timeouts/retries and reducing payload sizes. Builds configurable Python services to deliver customer-specific behavior without destabilizing the core codebase.”
SaiDheerajReddy Gadikota
Mid-level AI Engineer specializing in agentic systems and enterprise LLM platforms
“Current AI engineer at a startup who has spent the last year architecting multi-agent systems for software development workflows. Stands out for combining LLM speed with engineering discipline—using tools like Pydantic, LangGraph, and LangChain to build reliable, production-ready agent workflows with validation, routing, and retry logic.”
Mid-Level Software Engineer specializing in full-stack web and cloud systems
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines