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Microsoft Azure Integration Developer Jobs in Calgary, AB

Practical experience implementing and managing VMWare/Nutanix HCI and/or Microsoft Azure based ... You Have: * 3+ years of DevOps/SRE experience * Strong understanding of security best practices

Practical experience implementing and managing VMWare/Nutanix HCI and/or Microsoft Azure based ... You Have: * 3+ years of DevOps/SRE experience * Strong understanding of security best practices

Azure Support Engineer

Calgary, AB · On-site

CA$69K - CA$93K/yr

We are looking for Azure Support Engineer to join our experienced and highly regarded Managed ... A deep understanding of Microsoft Azure IaaS/PaaS platform. * Manage, maintain, and support the ...

... integration and optimal performance of various systems including servers, networks, and cloud ... Configure and deploy applications and services using Microsoft Azure. * Provide technical support ...

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Microsoft Azure Integration Developer information

What are Microsoft Azure Integration Developers?

Microsoft Azure Integration Developers are IT professionals who specialize in designing, building, and managing solutions that connect various applications, data, and services using Microsoft Azure's integration tools. They work with technologies like Azure Logic Apps, Azure Functions, Service Bus, API Management, and other cloud-based services to streamline business processes and enable seamless data flow. These developers collaborate with business analysts, architects, and other developers to ensure that systems integrate efficiently and securely within cloud environments.

What are the key skills and qualifications needed to thrive as a Microsoft Azure Integration Developer, and why are they important?

To thrive as a Microsoft Azure Integration Developer, you need expertise in cloud computing, integration patterns, and proficiency with Azure services such as Logic Apps, Service Bus, and API Management, often supported by a degree in computer science or a related field. Familiarity with tools like Azure DevOps, ARM templates, and relevant certifications such as Microsoft Certified: Azure Developer Associate are highly valued. Strong problem-solving, communication, and teamwork skills help developers effectively collaborate and adapt to complex project requirements. These abilities are essential for building scalable, secure, and efficient integration solutions that align with business needs in cloud environments.

What is the difference between Microsoft Azure Integration Developer vs Cloud Solutions Architect?

AspectMicrosoft Azure Integration DeveloperCloud Solutions Architect
Primary FocusDesigning and implementing Azure integrations and APIsDesigning overall cloud architecture and solutions
Skills & CertificationsAzure certifications (e.g., AZ-204, AZ-220), API management, integration toolsCloud architecture certifications (e.g., AWS, Azure), broad technical expertise
Work EnvironmentDevelopment teams, project-based tasks, hands-on codingStrategic planning, client interaction, high-level design
Industry UsageCommon in companies implementing cloud integrationsUsed in organizations designing comprehensive cloud solutions

The Microsoft Azure Integration Developer specializes in creating and managing Azure-based integrations, APIs, and data flows, focusing on technical implementation. In contrast, the Cloud Solutions Architect designs overall cloud strategies and architectures, often overseeing multiple cloud services. Both roles require Azure knowledge, but their scope and responsibilities differ significantly.

What are some common challenges faced by Microsoft Azure Integration Developers when working on cloud migration projects?

Microsoft Azure Integration Developers often encounter challenges such as integrating legacy on-premises systems with modern cloud-based services, ensuring secure and reliable data transfer, and managing various APIs and protocols. Additionally, navigating Azure's evolving suite of integration tools like Logic Apps, Service Bus, and API Management requires staying current with best practices. Effective communication with cross-functional teams, including architects and business analysts, is also crucial to ensure seamless migration and alignment with business objectives.

Generative AI Developer - Microsoft Azure AI Stack

Lantern

Calgary, AB

Other

Posted 27 days ago


Job description

Key Responsibilities
We are looking for a hands-on Generative AI Developer with strong experience in building intelligent applications using the Microsoft Azure AI stack. As part of a Microsoft partner consultancy, you will work on developing and deploying cutting-edge AI solutions powered by Azure OpenAI, Azure AI Foundry, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).
This role is ideal for a developer who thrives in a fast-paced environment and is passionate about building real-world applications with large language models (LLMs), agent-based workflows, and scalable AI infrastructure.
Skills, Knowledge and Expertise

   Develop and deploy Generative AI applications using: 
   Azure OpenAI Service (GPT models, embeddings, fine-tuning)
   Azure AI Foundry for managing LLM lifecycle and deployment
   LangChain and LangGraph for orchestrating multi-agent and multi-step workflows
   RAG pipelines using Azure AI Search and vector databases
   AI agents and MCP servers for task automation and reasoning
   Implement prompt engineering strategies and optimize LLM interactions.
   Build APIs and microservices to integrate AI capabilities into enterprise applications.
   Collaborate with architects and client teams to understand requirements and deliver solutions.
   Ensure code quality, performance, and security in cloud-native environments.
   Stay up to date with the latest in generative AI frameworks, tools, and best practices.

Required Qualifications:

   Bachelor's degree in Computer Science, Engineering, or related field.
   3+ years of experience in software development, with a focus on AI/ML applications.
   Hands-on experience with Azure OpenAI, LangChain, and LangGraph.
   Solid understanding of LLM orchestration, agent frameworks, and RAG architectures.
   Proficiency in Python and experience with cloud-native development.
   Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes).
________________________________________

What We Offer:


   Opportunity to build impactful generative AI solutions for enterprise clients.
   Access to exclusive Microsoft partner resources and training.
   A collaborative, innovative, and growth-oriented work environment.
   Competitive compensation and benefits.
   Career development in a rapidly evolving AI landscape.