Keyhole Software is hiring a Senior QA Automation Consultant to build and maintain enterprise test automation solutions using Cypress, TypeScript, and Azure DevOps. This remote consulting role is ideal for experienced QA Automation Engineers and Test Automation Engineers who enjoy developing scalable automated testing frameworks, working with modern cloud technologies, and partnering directly with clients to deliver high-quality software. Title: …
Transforming Enterprise Delivery with Azure DevOps
Industry: Supply Chain & LogisticsTechnologies: Java, Azure DevOps, Terraform, Helm, Azure Kubernetes Service (AKS), CrossplaneServices: DevOps Enablement, CI/CD Pipeline Design, Azure Infrastructure Architecture, Agile Transformation Overview A leading organization in the supply chain and logistics industry engaged Keyhole Software to lead a major transformation of its internal IT operations and software delivery practices. The organization was operating without a DevOps …
AI-Powered Document Intelligence & Regulatory Compliance Platform
Enterprise Client | 2026 – Present Key Technologies: AI Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Document Intelligence, Prompt Engineering, .NET, C#, React, Microsoft Azure, Azure Logic Apps, Azure Cosmos DB Overview: Keyhole Software partnered with an enterprise client to develop an AI-powered document intelligence and regulatory compliance platform for organizations operating in highly regulated industries. Built using .NET, …
Best Cloud Consulting Providers 2026
Compare the top 10 cloud consulting providers for 2026. Our research team analyzed 47 firms using weighted criteria including proven cloud delivery, platform certifications, and technical approach.
What Is Agentic AI Software Development in the Enterprise?
Agentic AI software development is an enterprise delivery model where autonomous agents execute backlog-driven implementation inside architectural guardrails, test-gated quality controls, and a fully traceable SDLC. Learn how agentic AI software development transforms the enterprise SDLC with autonomous execution, test-gated quality, full traceability, and architect-led governance.





