> Markdown version of [/jobs/ext/3753449-cloud-engineer-azure-full-stack-developer](https://www.wearedevelopers.com/jobs/ext/3753449-cloud-engineer-azure-full-stack-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Engineer - Azure - Full Stack Developer - **Company:** Kforce Inc. - **Location:** Klein, TX, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** JavaScript (Programming Language), .NET Framework, Artificial Intelligence, Amazon Web Services, Applications Architecture, Build Automation, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Cloud Computing Security, Cloud Engineering, Software Code Optimization, Data Security, Database Applications, Relational Databases, Infrastructure as a Service (IaaS), Python (Programming Language), Machine Learning, NoSQL, OpenShift, Platform as a Service (PAAS), Azure DevOps Pipelines, Azure Machine Learning, Software Deployment, SQL Databases, Systems Integration, Google Cloud, Spring Cloud, ReactJS, Delivery Pipeline, Gitlab, AI Platforms, Kubernetes, Information Technology, Api Design, Software Coding, Restful APIs, Data Pipelines, Docker, Microservices - **Published:** October 15, 2026 - **Apply:** https://www.dice.com/job-detail/ee324690-6077-4563-909a-4f573dc10b6a ## About the Role * Bachelor's degree in Computer Science, Information Technology, Engineering, or related field * Minimum of 3+ years of hands-on experience with one or more major cloud platforms (Azure required; AWS and/or Google Cloud Platform preferred) * Experience designing, building, and maintaining microservices and containerized solutions using Docker, Kubernetes, OpenShift, or similar * Extensive working knowledge of Microsoft Azure (PaaS, IaaS, and platform services) is required; Experience with Google Cloud Platform or AWS is a plus * Strong full-stack development experience with: Front end: ReactJS (preferred) or similar modern JavaScript framework; Back end: C#/.NET for building APIs, services, and integrations * Strong experience building scalable cloud-native applications on Azure * Hands-on Azure DevOps CI/CD or GitLab experience * Strong ReactJS, C#/.NET, SQL, REST API, and microservices experience * Experience with relational databases; NoSQL knowledge is a plus * Experience with scripting and automation using C# and/or Python * Familiarity with Azure AI services and ML solutions * Industry certifications (e.g., Azure, AWS, Google Cloud Platform, CNCF/Kubernetes) are desired but not required if you have strong demonstrable skills ## Description Kforce has a client in Houston, TX with a need for a Senior Cloud/Full-Stack Engineer for a contract hybrid role. Duties Include: * Lead the design, development, and optimization of modern cloud-native applications on Microsoft Azure * Work across the stack using ReactJS and C#/.NET to build scalable, secure solutions, implement Azure DevOps CI/CD pipelines, and deliver reliable data access using SQL and related technologies * Help drive innovation through Azure AI services and application modernization * Collaborate with business and engineering teams to define cloud and application architecture on Azure * Design, develop, and maintain full-stack applications using ReactJS or similar JavaScript frameworks and C#/.NET * Build RESTful APIs and microservices supporting cloud applications and integrations * Develop modular, highly available, secure, and scalable cloud-native applications * Lead AI-enabled solutions leveraging Microsoft Azure AI services, including pre-built AI capabilities and custom ML models * Develop, test, and optimize code and data pipelines for AI and data-driven applications * Build and maintain Azure DevOps CI/CD pipelines for automated builds, testing, and deployments * Design and optimize database schemas and SQL queries for secure, reliable, high-performance data access * Drive cloud security, compliance, governance, coding standards, testing, and deployment best practices