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Vetted Azure DevOps Professionals
Pre-screened and vetted.
Mid-level Software QA Engineer (SDET) specializing in test automation and CI/CD
Mid-level SDET specializing in QA automation, API and performance testing
Senior DevSecOps Engineer specializing in secure CI/CD and cloud compliance
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and SPAs
Senior Cloud Infrastructure Engineer specializing in Microsoft Azure
Mid-Level Software Engineer specializing in cloud-native full-stack and DevOps
Senior Full-Stack .NET Developer specializing in healthcare IT and SaaS
Junior Full-Stack Software Engineer specializing in backend and cloud applications
Senior Full-Stack Engineer specializing in React, Python, and AI-driven SaaS
Senior Full-Stack Engineer specializing in AI-enabled platforms and FinTech
Senior Software QA Engineer specializing in test automation and CI/CD
Senior DevSecOps Engineer specializing in AWS GovCloud, Kubernetes, and compliance automation
Senior .NET Full-Stack Developer specializing in ASP.NET Core, Angular, and Azure
Staff/Lead Full-Stack Software Engineer specializing in .NET, Angular, and cloud architecture
Senior QA Automation & Performance Engineer specializing in web, API, and cloud testing
Senior Cloud & DevOps Engineer specializing in AWS, Azure, and GCP automation
Pranava Reddy Kothapally
Junior Data Engineer specializing in Azure, CRM data pipelines, and marketing personalization
“LLM/AI engineer who has deployed production RAG conversational analytics and Text-to-SQL systems over Snowflake and curated data marts, emphasizing enterprise-grade guardrails for accuracy, security, and cost. Notable for a structured approach to reducing hallucinations (curated metric/table registry, SQL validation, RBAC, and citation-backed responses) and for building resilient, observable multi-step agent workflows using LangChain/LlamaIndex and Airflow.”
Nobin Johnson
Mid-Level Software Engineer specializing in full-stack, cloud, and mobile development
“Backend engineer with open-source web3.js contributions focused on preventing costly smart-contract execution failures, plus hands-on blockchain startup experience scaling an NFT mint from a test EC2 setup to AWS Lambda/API Gateway under extreme concurrency. Built a multiplayer backend improving tick rate from 40 Hz to 105 Hz using UDP, containerization, and Kubernetes, and has healthcare production support experience across 10+ apps. Also publishes IEEE research papers and produces developer-friendly documentation that accelerates team adoption.”
Adithya Sharma
Mid-level AI/ML Engineer specializing in MLOps, NLP, and Generative AI
“Built and deployed a production LLM-powered text-to-SQL/document intelligence chatbot on AWS that lets non-technical business users query complex enterprise databases in plain English. Demonstrates deep practical expertise in schema-aware prompting, embeddings-based schema retrieval, SQL safety/validation guardrails, and rigorous offline/online evaluation with human-in-the-loop approvals for risky queries.”