4,544 Azure jobs available for remote work from home. Apply for positions such as [MMS] Cloud Engineer (GCP/Azure Managed Services), Senior Consultant, DevOps, Senior Software Architect (m/w/d), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Support the day-to-day operation, maintenance, and optimization of GCP and Azure environments for managed services clients. This includes troubleshooting infrastructure incidents, managing cloud resources, and configuring networking and security components.
Design, build, and optimize cloud solutions using modern DevOps practices across the full project lifecycle. Provide technical leadership, mentor junior engineers, and support pre-sales activities through technical requirement analysis.
Design and architect scalable, performant software solutions and cloud-based system designs. Integrate AI-driven features and machine learning models while providing technical consultancy to clients.
Drive new business for the Data & AI practice by leading the presales lifecycle from discovery to solution design and executive presentation. Act as the primary technical authority for Microsoft AI capabilities, focusing on the development of AI agents and multi-agent orchestration.
Expand the partner network and drive new business within the Italian Microsoft ecosystem by building long-term relationships. Guide partners through the cloud journey using the Sure Step program and position Companial services and AI solutions.
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Drive testing initiatives for generative AI and clinical trial technology using advanced manual testing practices. Lead test planning, execution, and defect management while mentoring junior engineers and collaborating with stakeholders.
The role involves owning the technical vision and architecture across a portfolio of AI engagements for strategic accounts. The lead will consolidate multiple projects into a coordinated build motion and serve as the primary technical partner for client executive stakeholders.
The role focuses on transforming business processes through automation and digital solutions using the Microsoft Power Platform. It also involves administering SharePoint, Microsoft 365, and providing general global IT systems support.
Lead multi-disciplinary engineering and product squads to deliver high-quality software within the Digital Learning Platform ecosystem. Manage client relationships, product roadmaps, and account finances to ensure operational stability and project profitability.
Manage a book of 40-50 SMB accounts, guiding them through onboarding, adoption, and retention. Act as the primary point of contact via Slack and ticketing systems while identifying upsell opportunities.
The AI Architect will define and build the end-to-end generative AI architecture for the Nebula platform and CS & Operations. This includes developing agent workflows, retrieval systems, and MLOps pipelines to process complex legal data.
Develop modern frontend features from planning to Azure deployment using React and TypeScript. Collaborate with product management and backend teams while utilizing AI tools to optimize the development process.
Develop modern full-stack features end-to-end, from the database layer and REST APIs to the React user interface. Collaborate with product management and technical teams to take full ownership of functional features using an AI-supported workflow.
Design and implement robust Lakehouse and Medallion architectures while optimizing large-scale Apache Spark jobs. Manage cloud infrastructure, data governance via Unity Catalog, and cost optimization for Databricks clusters.
Design and develop interactive dashboards and reports while optimizing ETL pipelines and data models. Collaborate with stakeholders to translate business requirements into technical BI solutions and ensure data quality.
Design, develop, and operate enterprise-grade Generative AI and Machine Learning solutions on Microsoft Azure. This includes building AI agents, copilots, and RAG solutions while ensuring secure and governed production operations.
Design, develop, and maintain automated test frameworks for API and backend services using Java and RestAssured. Integrate these tests into CI/CD pipelines and collaborate with stakeholders to define quality standards and test strategies.
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Design, engineer, and support secure, scalable cloud infrastructure with a primary focus on Microsoft Azure. Lead security-driven design decisions across network architecture, identity, and data protection while advancing modernization initiatives.
Architect and develop autonomous AI agents capable of planning, tool-use, and self-correction using patterns like ReAct. Implement robust memory systems, evaluation frameworks, and guardrails to ensure efficient and safe multi-step workflows.
Lead the operationalization of governance for unstructured data across cloud platforms to ensure AI readiness and regulatory compliance. Develop metadata taxonomies and implement information lifecycle workflows including classification and retention scheduling.
Develop flexible and maintainable software solutions while maintaining and enhancing existing systems to fix issues and improve performance. Collaborate with teams to analyze user stories and implement technical solutions based on solid design principles.
Design and implement scalable, secure cloud infrastructure and services to support the Administration for Children and Families. Lead cloud modernization, security compliance, and operational resilience initiatives within an Agile environment.
The FinOps Specialist will analyze cloud spending across AWS, Azure, and GCP to identify optimization opportunities and manage chargeback models. They will deliver financial dashboards and collaborate with technical teams to implement cost-saving strategies and governance policies.
Lead the design, development, and maintenance of secure and scalable data solutions within an agile environment. Provide engineering leadership and mentorship to staff while driving technical strategy and innovation efforts.
Lead strategic partnerships with AWS, Azure, and GCP to drive joint go-to-market initiatives and cloud marketplace growth. Collaborate with cross-functional teams to accelerate revenue, customer acquisition, and cloud adoption through co-sell motions.
Design and maintain a compliant application data repository and integration architecture for web and mobile applications. Collaborate with stakeholders to optimize data delivery, automate manual processes, and oversee third-party engineering work.
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Design and manage advanced AWS networking architectures and hybrid cloud solutions to support secure, scalable, and highly available environments. Collaborate with security teams to implement Zero Trust controls and ensure compliance with federal security requirements.
Serve as the senior technical authority for Azure cloud architecture, designing and governing secure infrastructure and platforms. Lead complex cloud initiatives from design to delivery while mentoring systems administration and security teams.
Modernize and scale the infrastructure for a compliance SaaS platform and AI-enabled products using Azure DevOps and GitHub Enterprise. The role focuses on advancing DevSecOps practices and managing AWS infrastructure through Infrastructure as Code.
Align enterprise architecture with business objectives to optimize total cost of ownership and accelerate speed to market. Lead the design of next-generation architectures across business, application, data, and technology domains while driving innovation in AI and cloud solutions.
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