4,695 Azure jobs available for remote work from home. Apply for positions such as Business Intelligence Developer, Senior Solution Architect, Identity Security, Enterprise AI Architect, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and implement data collection tools and pipelines to analyze large datasets for the Department of Veterans Affairs. Develop visualizations and reports to provide actionable insights that guide strategic decision-making for healthcare transformation.
Lead complex technical engagements and design reference architectures for strategic enterprise opportunities in identity security. Partner with sales and product teams to align technical vision and drive success across high-priority accounts.
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The intern will provide technical support to customers and manage incoming issues through an incident management system. They will also support customer success activities, analyze data quality, and experiment with AI tools to improve operational efficiency.
Lead cross-functional initiatives to implement digital service platforms and CRM integrations within a global matrixed environment. Drive projects from concept to delivery while managing governance, stakeholder alignment, and executive reporting.
The role involves administering and optimizing Microsoft SQL Server databases across Windows and Linux environments to support mission-critical healthcare reporting. Key duties include developing complex SQL solutions, modernizing Crystal Reports to SSRS, and managing ETL workflows via SSIS.
Architect and maintain scalable AWS infrastructure to ensure high availability and security for the Revenue & Profit Operating System. Partner with developers to automate manual toil and lead root cause analysis during weekly on-call rotations.
Design, build, and operate production AI systems end-to-end, including data pipelines and agent orchestration. Develop reusable AI primitives and frameworks to accelerate feature development across the organization.
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Design, develop, test, and deploy .NET solutions including REST APIs and web applications. Participate in code reviews and collaborate with the product team to define new features through spikes.
Design, build, and operate secure AWS and Azure cloud infrastructure using Infrastructure as Code and CI/CD pipelines. Ensure platform reliability, security compliance with FedRAMP and HIPAA, and optimize operational costs through FinOps initiatives.
The role involves crafting enterprise-wide cloud data security solutions and driving revenue through complex sales opportunities. Responsibilities include delivering proof of values, conducting technical demos, and acting as a technical point of contact for partners.
Design and develop automation frameworks for web applications, APIs, and microservices. Integrate automated tests into CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins.
Define and execute a 12-24 month data modernization roadmap and architecture to support business priorities. Lead a team of analysts and engineers to deliver dashboards and analytical models across manufacturing, supply chain, sales, and finance.
Design, develop, and maintain custom IAM applications and automation to support secure identity lifecycle management and access controls. Collaborate with cybersecurity and business stakeholders to integrate IAM platforms across enterprise systems like Okta, Salesforce, and AWS.
The role involves designing and deploying cloud-native solutions using Kubernetes and Docker to modernize operations. You will be responsible for developing microservices and troubleshooting interactions between application code and cloud infrastructure.
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Develop and maintain scalable test automation frameworks for UI, API, and backend validations within a microservices architecture. Integrate automated suites into CI/CD pipelines and conduct performance, scalability, and data integrity testing.
Design, build, and optimize modern Microsoft Fabric solutions, including scalable ingestion pipelines and lakehouse architectures. Collaborate with client engineers through paired development to implement production-ready data platforms and semantic models.
Design, implement, and manage cloud infrastructure and CI/CD pipelines on Microsoft Azure to automate software delivery. Develop and deploy AI-powered solutions using low-code and advanced platforms to enhance business workflows and decision-making.
Develop complex cloud-native solutions and platform services using automated deployment methods for a credit lifecycle system. Collaborate with architects and stakeholders to maintain project momentum and ensure high-quality software delivery.
Develop and implement UI and API automation frameworks from scratch while managing CI/CD pipelines. Collaborate with cross-functional teams to drive quality assurance and mentor team members on technical direction.
Collaborate with sales teams to design technical solutions and deliver product demonstrations and Proof of Concepts. Support the sales cycle by answering technical questions and maintaining knowledge of industry trends and client business processes.
Lead technical pre-sales for National Oil Company accounts by designing integrated edge and AI solutions. Act as the primary technical advisor to translate operational energy use cases into scalable architectures using Armada platforms.
Drive cloud cost efficiency, automation, and governance across AWS, Azure, and GCP environments. Partner with finance and engineering stakeholders to implement tagging standards, cost dashboards, and automated remediation workflows.
Develop and maintain full-stack AI-powered features using .NET and React to improve clinician workflows in healthcare. Integrate AI components like LLMs and speech-to-text into a cloud-based Azure ecosystem while ensuring production quality and reliability.
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Lead the design and maintenance of automated testing frameworks for web, mobile, and API applications. Integrate automated tests into CI/CD pipelines and manage the end-to-end testing lifecycle including defect management and root cause analysis.
Develop complex AI solutions, including chatbots and LLM-based applications using RAG, for international clients. Design and implement these systems in both cloud and on-premise environments while collaborating with global teams.
Develop and deploy transformative AI/ML and Generative AI solutions to solve complex business challenges for global enterprises. Bridge the gap between AI research and production by building prototypes and scaling models across various cloud platforms.
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