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Vetted Azure App Service Professionals
Pre-screened and vetted.
Mid-level .NET Developer specializing in cloud-native microservices and enterprise APIs
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Mid-level Software Engineer specializing in backend services and data engineering
Mid-level Full-Stack Java Developer specializing in cloud-native microservices
Senior Full-Stack .NET Engineer specializing in cloud, APIs, and data platforms
Mid-level Full-Stack Developer specializing in Java, React, and cloud-native web apps
Senior Project Manager specializing in healthcare IT and cloud transformation
Senior DevOps & Site Reliability Engineer specializing in multi-cloud CI/CD and IaC
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Mid-level Java Full-Stack Developer specializing in microservices and cloud platforms
Senior Full-Stack Engineer specializing in cloud-native Java microservices and GenAI
Vigneshwari Shankiri
Senior Java Full-Stack Developer specializing in microservices and cloud platforms
“Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.”
Senior Software Engineer specializing in full-stack distributed systems and AI
Mid-level Full-Stack Software Engineer specializing in .NET, Legal Tech, and FinTech
Charles Hui
Director-level Software Engineer specializing in SaaS web platforms
“Engineering leader managing two 6-person teams across internal tools and 14+ public brand websites, while staying hands-on in architecture and system design. Particularly interesting for teams exploring AI-assisted software delivery: they implemented a customizable multi-agent BMad workflow with human review gates across PM, architecture, development, QA, and DevOps.”
Namruth Potla
Senior .NET Software Engineer specializing in enterprise web applications
“Backend engineer with Walmart experience owning Python data-processing/integration services alongside ASP.NET Core. Has deployed containerized services to Kubernetes via OpenShift with Jenkins CI/CD and GitOps-style config management, and has led phased migrations modernizing VB6/classic ASP apps to ASP.NET Core on OpenShift/Azure. Also implemented Kafka-based real-time pipelines with a focus on reliability, idempotency, and observability.”
Srikanth Reddy
Senior Cloud/DevOps Engineer specializing in Azure, Kubernetes, and Infrastructure as Code
“Azure cloud platform engineer with strong enterprise Linux operations background who designs multi-region HA/DR on Azure (and AWS) using Azure Site Recovery, Traffic Manager, AKS autoscaling, and geo-replicated Azure SQL. Built secure Azure DevOps CI/CD pipelines for .NET/Python microservices to AKS/VMs and provisions full environments via Terraform modules with remote state, drift checks, and staged rollouts; has not directly owned IBM Power/AIX at scale.”
Sai Ganesh nelluri
Mid-level Generative AI Engineer specializing in LLM systems and RAG
“Currently at Huntington Bank, built a production-grade RAG system that helps business/operations teams get grounded answers from large volumes of internal enterprise documents. Owns ingestion and FastAPI backend, tuned hybrid BM25+vector retrieval and chunking for relevance, and evaluates reliability with metrics and observability (LangSmith, CloudWatch, Prometheus/Grafana) while partnering closely with non-technical stakeholders.”
Aninda Ghosh
Mid-level Software Engineer specializing in FinTech and full-stack platforms
“Enterprise-minded builder who has owned complex, high-impact systems from discovery through stabilization, including a customer master data platform at AB InBev serving 2,000 sales reps across 13 countries. Also demonstrates strong AI product instincts, having built a first-place ReAct-style NYC property intelligence agent at IBM's AI Demystified Hackathon, while showing deep rigor in data quality, integrations, and production reliability.”