Cloud Application Developer

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Job Overview

This is a development-focused position centered on designing and building modern cloud-native applications from the ground up, including planning, design, and implementation. While hands-on development is the primary responsibility, the role also requires solid foundational knowledge in cloud architecture, DevOps practices, and AI integration to support scalable and secure solutions.

The ideal candidate will work across a range of technologies including containerization (Docker, Kubernetes), Azure App Services, serverless computing (e.g., Azure Functions, Logic Apps), Azure PAAS architecture, and low-code/no-code platforms. You’ll collaborate with cross-functional teams, contribute to Infrastructure as Code (IaC), and help implement security-first CI/CD pipelines in GitHub.

This position is suited for someone who is passionate about development but also brings a well-rounded understanding of modern cloud-native tools, DevOps automation, and the evolving role of AI in application delivery. 

Key Job Responsibilities

• Lead hands-on application development efforts, building modern solutions from scratch, including planning, coding, testing, and deployment. 
• Contribute to the design of cloud architecture, carefully selecting Azure services and architectural patterns to meet requirements for performance, scalability, and security. 
• Prepare and maintain detailed design documentation and technical architecture diagrams to facilitate effective development and cross-functional understanding. 
• Participate in project onboarding by establishing development standards, configuring environments, and setting initial technical direction. 
• Develop and deploy applications utilizing a broad spectrum of Azure services, including App Services, Logic Apps, Azure Kubernetes Service (AKS), ACA, serverless components, and other Azure services.  
• Utilize containerization technologies such as Docker and Kubernetes to develop and manage microservices-oriented applications. 
• Integrate AI tools and services to streamline development, automate processes, and enhance applications with intelligent features. 
• Design, implement, and manage CI/CD pipelines using GitHub Actions and Azure DevOps, ensuring secure and automated delivery of applications. 
• Hands on experience using SAST and DAST tools with focus on SonarQube, CodeQL, and Wiz. 
• Implement comprehensive monitoring and observability strategies leveraging tools like Azure Monitor and Dynatrace to ensure system health and traceability. 
• Prioritize security by adopting identity-based access controls, practicing secure coding, and integrating with Azure AD to safeguard cloud resources. 
• Deliver robust data solutions using data technologies such as Cosmos DB, Azure SQL, PostgreSQL, Snowflake and integrate with platforms like Palantir optimizing for structure, performance, and scalability. 
• Foster collaboration with developers, architects, external vendors, and business stakeholders to ensure alignment of technical solutions with project objectives. 
• Support ongoing documentation, knowledge transfer, and continuous improvement throughout the development lifecycle. 

Qualifications/Requirements

• Bachelor's degree in computer science, Information Technology, or a related discipline. 
• More than five years of experience in application development, with an emphasis on cloud-native solutions utilizing Microsoft Azure. 
• Experience working with various Azure services, including Azure App Services, Azure Functions, Logic Apps, Azure Container Apps (ACA), Azure Kubernetes Service (AKS), and serverless computing. 
• Familiarity with Azure database technologies such as Azure SQL and Cosmos DB, and platforms like Palantir for data modeling and access. Add benefit for experience with Snowflake and PostgreSQL.  
• Programming expertise in C#, Python, and Java, with practical experience using frameworks such as .NET to develop scalable applications. 
• Experience in configuring and managing CI/CD pipelines with GitHub Actions and Azure DevOps, and a solid understanding of Git-based version control. 
• Proficiency in implementing observability and monitoring tools, including Application Insights, Azure Monitor, and Dynatrace. 
• Understanding of containerization using Docker and Kubernetes, with deployment experience in microservices-based environments. 
• Knowledge of AI integration, applying AI/ML tools and services to streamline workflows, provide intelligent features, and promote automation. 
• Bonus: Experience in mobile app development using platform native tools for iOS and Android. 
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