What are the responsibilities and job description for the Cloud Engineer position at CodeAnalytiqa Consultancy and Services?
We are seeking a highly skilled Cloud Engineer to design, develop, implement, and support cloud-native solutions across Microsoft Azure and Amazon Web Services (AWS). The ideal candidate will have strong hands-on experience in cloud engineering, application modernization, workload migration, and DevOps-enabled delivery.
This role also requires supporting applied AI solution patterns, including GPT model integration, prompt engineering, and enterprise use cases such as summarization, semantic search, and intelligent chatbot capabilities.
Key Responsibilities
Design, develop, implement, and support cloud-native applications, services, and APIs using .NET, .NET Core, containers, Python, and related tools.
Implement secure, scalable, and reliable solutions in Azure and AWS environments.
Deploy and manage cloud infrastructure and platform services for modernization and enterprise delivery.
Support cloud migration, integration, and modernization efforts across PSDC business processes.
Work with Azure services: App Service, Service Bus, API Management, Logic Apps, Functions, SQL Managed Instance, Blob/File/Table Storage.
Work with Azure infrastructure: VMs, VNets, NSGs, VPN Gateway, ExpressRoute.
Work with AWS services: EC2, S3, VPC, Lambda, RDS.
Support containerization/orchestration: Docker, Kubernetes, AWS ECS, Azure AKS, Azure Container Apps.
Implement CI/CD pipelines and DevOps practices using Azure DevOps, GitHub, Artifactory, NuGet.
Apply software engineering, architecture, SDLC, and data management practices.
Support GPT-enabled solutions: prompt engineering, intelligent chatbots, summarization, semantic search.
Ensure compliance with token usage, cost management, performance optimization, and content filtering in GPT-based solutions.
Required Skills & Experience
7 years of relevant experience as a Cloud Engineer.
Bachelor’s degree in Computer Science, Engineering, or equivalent technical study.
5 years of Azure cloud platform experience (application, storage, networking).
5 years of AWS cloud platform experience (compute, storage, networking).
4 years of cloud-native application development and integration.
Strong experience with .NET, .NET Core, C#.
Proficiency in Python programming.
3 years of CI/CD and DevOps tool experience.
1 years of AI model integration and prompt engineering.
1 years of AI-driven application development (chatbots, summarization, semantic search).
Preferred Qualifications
AWS Certified Solutions Architect.
Azure Fundamentals or Azure Solutions Architect certification.