4,532 Azure jobs available for remote work from home. Apply for positions such as Sr. Business Analyst, Database Developer (REMOTE), Intelligent Solutions Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role focuses on managing data feeds, maintaining Azure and Power BI dashboards, and performing complex data reconciliations. It involves translating large datasets into actionable business recommendations and predictive insights to support leadership decisions.
The Database Developer is responsible for designing, building, and maintaining data systems and engineering pipelines across AWS and Azure environments. This includes implementing CI/CD practices, developing serverless functions, and optimizing data processing and monitoring.
Design and deliver automation, tools, and AI-enabled solutions while collaborating with stakeholders. Rapidly prototype and iterate solutions to meet business needs and ensure they are robust and scalable.
Ensure the accuracy and reliability of billing and invoicing data through discrepancy analysis and SQL-based validation. Collaborate with technical teams to optimize workflows, automate processes, and support partner-specific integrations.
The Senior AI Security Engineer designs and enforces security across the full AI delivery surface, including model configurations, prompt pipelines, and agentic workflows. They are responsible for threat modeling, establishing secure reference architectures, and implementing detection and response mechanisms for AI-specific threats.
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Develop and maintain flexible software solutions using the company's technical stack while performing design, testing, and documentation. Collaborate with teams to solve business problems and remediate security vulnerabilities to improve system performance.
Develop and maintain mobile test automation frameworks for iOS and Android using Appium and C#. Integrate automated tests into CI/CD pipelines via Azure DevOps and collaborate with stakeholders to translate requirements into testing solutions.
Act as the primary link between Finance and Technology to ensure the stability and evolution of financial systems. Lead the management of demands, incidents, and strategic projects focused on automation and digital transformation of financial processes.
Architect and scale automation frameworks for backend microservices and EdTech interfaces, specifically for Laravel and Moodle environments. Develop strategies for AI validation and integrate quality gates into CI/CD pipelines.
Provide operational support and administration for Microsoft cloud services including Intune, Defender, and SharePoint. Manage support tickets, create infrastructure documentation, and implement governance policies and security configurations.
Lead the design and evolution of complex software architectures, focusing on microservices, serverless, and event-driven patterns. Drive the integration of Generative AI and LLMs into development processes and client solutions.
Drive the architecture and optimization of generative AI applications with a focus on RAG pipelines and prompt engineering. Collaborate with the AI platform team to scale AI capabilities across the BMW Group and integrate data from various sources.
This role leads the organization's transformation from a VMware environment to Red Hat OpenShift Virtualization, managing the full migration lifecycle and the day-to-day operations of VMs on OpenShift. Responsibilities include infrastructure design, storage configuration using Portworx/Pure Storage, and acting as a final escalation point for complex technical issues.
The role involves joining the development team for a major client in the banking sector, contributing to professional growth opportunities within various client teams. The position supports a 100% teleworking model.
The Professional Services Engineer acts as a customer-facing expert delivering advanced automated networking and cybersecurity solutions by assessing, designing, implementing, configuring, commissioning, and optimizing complex IT and OT network environments. Responsibilities include conducting in-depth assessments, preparing reports, serving as a technical consultant, leading deployment planning, and developing customized technical training for customers.
The Product Owner will define the vision and roadmap for AI-powered platforms and assistants, focusing on problem-first prioritization and translating complex capabilities into measurable business value. Key duties include leading backlog management, defining success metrics like accuracy and adoption, and bridging communication between business stakeholders and engineering teams.
The Solution Architect will act as a trusted advisor, guiding customers on implementation options, leading discovery processes to capture technical requirements, and driving consensus on proposed approaches. This role also involves participating in project-specific development activities and assisting with the validation and optimization of deployed solutions.
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The Senior Solutions Engineer will serve as the primary technical advisor for enterprise customers, guiding them through platform evaluation, adoption, and expansion by developing deep understanding of their goals and challenges. They will lead impactful demonstrations and technical storytelling to articulate value to both technical and executive audiences while building trusted relationships with strategic partners.
The Analytic Server Modeler will participate in analysis, exploration, and analytics model development, translating client use cases into multi-dimensional business models and analytics. Responsibilities include designing, building, testing, and deploying required models while interfacing with business, data, sourcing, and engineering teams.
The developer will design, build, and optimize modern low-code/no-code solutions using Power Apps, Power Automate, and Copilot Studio to deliver applications and automations that integrate with enterprise systems. Key tasks include developing Canvas and Model-Driven Power Apps, building workflows, utilizing Dataverse, integrating with external systems via APIs, and following ALM and security best practices.
The manager will lead a platform team responsible for developing and continuously improving the DevSecOps, DataOps, and Observability platforms, including maintaining common tools and evaluating new technologies. This role also involves ensuring compliance with Federal application security regulations through automated solutions and pipelines while encouraging agile development and continuous improvement.
The Delivery Excellence Manager will lead and orchestrate successful customer implementations and long-term engagements, ensuring efficient technical deployment and delivering proactive strategic guidance against joint success plans. This involves serving as the primary lead on new deployments, owning end-to-end delivery from kickoff to renewal, and developing tailored project plans.
The Delivery Excellence Manager will lead and orchestrate successful customer implementations and long-term engagements, focusing on efficient technical deployment and proactive strategic guidance. This involves owning the end-to-end delivery from kickoff to renewal, creating success plans, and managing overall program execution.
The Senior Architect will act as an Industry Subject Matter Expert, driving solution conversations based on client needs and serving as a trusted advisor throughout their Azure-based Data & AI transformation journey. This role involves engaging with customers during the sales process, collaborating with sales on strategy, and leading the creation of reference architectures and reusable enablement content.
Responsibilities include conducting customer discovery meetings to determine reporting requirements and guiding customers on deploying Power BI solutions to the Power BI service, including Gateways and Data Updates. The role also involves creating well-performing star schema data models and building Power BI solutions using DAX and source queries.
The Lead Consultant will be essential in crafting and delivering creative cloud solutions for clients, participating in technical envisioning, design, and delivery of assigned projects. This role involves executing the implementation of designed solutions and providing technical expertise across Azure Infrastructure, DevOps, and Cloud Automation.
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The Lead Cloud Platform Engineer provides technical delivery leadership on client engagements, leads architectural design sessions, and offers coaching and guidance to peers for implementation. This role also involves managing client expectations while fostering a collaborative team culture.
The Architect acts as a hands-on technical lead, designing and delivering secure, scalable, and maintainable systems on Azure, owning end-to-end architecture for projects. This role involves leading solution design in a primary domain, guiding engineers daily, and mentoring other technical leads while ensuring solutions meet goals for value, security, performance, reliability, and cost.
The primary responsibility is ensuring client success with Azure by leading the analysis, design, and planning of application architecture in Azure and related technologies. This involves working with the project team to deploy Azure-based solutions that meet client needs for security, scalability, reliability, and performance.
The Senior Consultant will primarily own technical envisioning, design, and project scope for deploying Azure-based solutions that meet client needs, while also translating requirements into technical designs using existing tools and frameworks. This role involves driving client workload deployment into Azure by providing architectural guidance and supporting cloud adoption models, alongside training and knowledge transfer to junior staff.
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