4,481 Azure jobs available for remote work from home. Apply for positions such as Infrastructure Solution Engineer- Sr Consultant I, Microsoft Fabric & Power BI Architect( English + Nordic language), Senior Product Specialist, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Infrastructure Solutions Engineer leads the monitoring, troubleshooting, and resolution of infrastructure incidents to ensure system reliability and performance. This role collaborates with product teams to design automation solutions and optimize service delivery within a 24/7 operational environment.
The role involves providing senior technical leadership to design, implement, and optimize end-to-end data and analytics solutions using Microsoft Fabric and Power BI. You will collaborate with stakeholders to deliver workshops, architecture sessions, and production deployments while mentoring engineering teams.
The Senior Product Specialist is responsible for translating product strategy into high-quality deliverables while acting as a subject matter expert within their domain. They will manage product backlogs, lead sprint planning, and mentor team members to ensure alignment with customer needs and business goals.
The Technical Lead will drive the delivery of production-level intelligent solutions while managing client relationships and technical strategy. They will lead a cross-functional squad, providing hands-on technical contributions and architectural guidance throughout the project lifecycle.
The Site Reliability Engineer will manage and maintain highly available systems while automating workflows to ensure platform performance. They will collaborate with DevOps and development teams to deploy infrastructure and monitor application health.
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You will be responsible for managing and optimizing cloud infrastructure in a productive environment using Infrastructure as Code. Additionally, you will maintain and extend CI/CD pipelines and ensure the smooth operation of workloads on Kubernetes clusters.
The role involves developing and implementing Generative AI and LLM-based systems, including RAG architectures and agentic workflows. You will be responsible for building autonomous solutions and managing the full lifecycle of AI-driven applications.
Design, provision, and maintain cloud infrastructure while building CI/CD pipelines to ensure fast and safe product delivery. Manage cloud security, observability, and system reliability to support millions of learners.
![Smart Working Solutions is hiring for remote Senior Full Stack Developer – C# / Angular (Remote, Full-Time) [HR209] (PK)](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Develop backend software using C# while solving performance and scalability challenges. Collaborate with cross-functional teams to deliver projects and provide technical support.
Provide technical leadership in project delivery and lead customer consultations to identify and design cloud-native solutions. Implement DevOps processes, CI/CD pipelines, and infrastructure as code to deliver scalable and secure services.
The Lead Solution Architect will define end-to-end architecture and technology strategy for enterprise-scale Salesforce solutions within a healthcare context. This role involves leading cross-functional teams to design scalable integrations and ensuring alignment with business objectives and industry compliance standards.
Design, develop, and maintain backend services using Python while building and optimizing RESTful APIs and microservices. Collaborate within an Agile/Scrum team to deploy cloud solutions on Microsoft Azure and manage CI/CD pipelines.
Architect and evolve the core M&O platform while integrating SRE principles to ensure system reliability and performance. Implement advanced data quality monitoring and automate infrastructure operations using IaC and CI/CD pipelines.
The Tech Lead will manage and mentor the Conversational AI Engineering team while driving technical architecture and hands-on development of voice and chatbot solutions. They are responsible for ensuring high-quality code, managing project risks, and implementing secure, scalable AI integrations.
The Tech Lead will manage and mentor the Conversational AI engineering team while driving technical architecture and best practices for voice and chatbot development. They will also perform hands-on development, including prompt engineering and system integrations, to ensure high-quality, secure AI solutions.
The Tech Lead will manage and mentor the Conversational AI engineering team while driving technical architecture and hands-on development of voice and chatbots. They are responsible for ensuring high-quality, secure deliverables through code reviews, sprint management, and the implementation of AI governance.
Lead AI strategy engagements, workshops, and innovation pods to guide clients from ambition to production-ready business value. Oversee project teams and collaborate with engineering to define technical approaches, model selection, and AI governance.
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You will design and build scalable data platforms and pipelines to support AI, automation, and advanced analytics. Additionally, you will ensure data integrity and consistency while collaborating with cross-functional teams to deliver high-performance solutions.
The Product GTM Manager will lead and execute the Americas go-to-market strategy for Agentic CRM solutions, including Dynamics 365 Sales and agent-powered scenarios. This role involves driving field enablement, competitive positioning, and cross-functional collaboration to accelerate revenue growth and CRM adoption.
The Senior Azure Databricks Architect will lead the design and deployment of secure, scalable enterprise Databricks environments using infrastructure-as-code practices. This role involves collaborating with security and networking teams to implement complex connectivity, governance, and operational standards across client platforms.
You will design and build cloud infrastructure while balancing security, availability, and cost requirements for global clients. Additionally, you will mentor junior colleagues and work within Agile teams to deliver high-value solutions.
The Staff DevSecOps Engineer will secure and improve Azure cloud infrastructure, Kubernetes environments, and CI/CD pipelines. They will also lead vulnerability management efforts and partner with engineering teams to implement secure coding practices.
The consultant will manage a portfolio of critical IT projects while improving project management practices through AI-enabled delivery methods. They are responsible for reporting, vendor oversight, and ensuring project alignment with organizational goals.
The consultant will manage and modernize the Microsoft Fabric data and analytics platform, ensuring operational stability and performance. They will also design data engineering pipelines, implement AI-enabled analytics, and establish platform standards to support institutional decision-making.
The Technical Analyst serves as the primary escalation point for complex support issues, managing end-to-end resolution and technical communication during high-severity events. They perform deep technical analysis across application functionality, batch processing, and integrations to drive permanent fixes and system stability.
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The Workstream Project Manager is responsible for driving day-to-day delivery execution across architecture, technology, and solution workstreams for the S4+ programme. They ensure alignment with the integrated programme plan, manage cross-stream dependencies, and support governance forums to deliver a harmonized global technology platform.
The Industry Architect will lead complex R&D engagements by bridging scientific innovation with Microsoft's AI technologies to deliver high-value solutions. They are responsible for shaping customer outcomes, managing technical delivery from pre-sales to production, and developing repeatable patterns to scale R&D motions.
The Cloud Solution Architect will design and deploy innovative AI application solutions while driving customer success and consumption growth. They will act as a technical leader to unblock customer challenges and provide feedback to engineering teams to improve Microsoft platforms.
The role involves driving transformative programs to enhance the reliability and scalability of Azure Storage platforms through cross-team collaboration. You will define success criteria, manage project roadmaps, and partner with engineering teams to implement technical solutions and mitigate risks.
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