5,371 Azure jobs available for remote work from home. Apply for positions such as QA Engineer (Híbrido Madrid), AI/ML Engineer I, Senior Program Manager (Change Management), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, implement, and optimize RPA and BPM workflows, manage Azure database solutions, and develop applications integrating AI, machine learning, and large language models. Provide technical consulting and collaborate with development, operations, and business teams to automate processes, including through low-code/no-code Power Platform solutions.
The AI/ML Engineer will develop, integrate, and maintain AI/ML components within secure, production-grade applications for federal customers. They will also troubleshoot system behavior, resolve defects, and optimize model performance across AI-driven workflows.
Lead multiple large-scale process improvement programs across customer support and delivery operations, using data analysis, Lean Six Sigma, and change management to improve efficiency and performance. Develop dashboards, SOPs, and training materials; facilitate workshops; align cross-functional teams; and report measurable outcomes to senior stakeholders.
Develop and design clinical and patient-facing software, contribute to technical direction, and maintain standards for development, testing, documentation, and CI/CD. Collaborate with cross-functional partners, guide offshore team members, and improve engineering processes while delivering secure, reliable healthcare integrations.
Manage, monitor, maintain, and improve complex IT infrastructures for Managed Services customers, including applying updates and patches, managing software, and resolving technical incidents. Support end users, document configurations and changes, and help ensure customer environments remain secure, stable, and available around the clock.
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Lead hands-on implementation and operation of AWS cloud environments, including infrastructure provisioning, deployment automation, security, monitoring, and troubleshooting. Build and document a scalable cloud governance capability, support modernization and migration, and coordinate with application, cybersecurity, operations, and business stakeholders.
Develop, maintain, and enhance system integration modules that synchronize data and workflows between enterprise applications and external systems. Participate in the full product development lifecycle, communicate with stakeholders, provide task estimates and status updates, and improve quality through testing, code reviews, and technical improvements.
Lead frontend, backend, and QA engineering teams in developing and delivering Generative AI software products, ensuring technical excellence, architectural integrity, and timely, high-quality releases. Mentor and develop high-performing teams, manage project execution and risks, promote AI-assisted development, and align engineering work with business objectives through cross-functional collaboration.
Design, build, and optimize scalable Azure data and AI platforms, including batch and streaming pipelines, feature stores, and production workflows for machine learning models. Ensure data quality, governance, security, and reliability while developing reusable engineering frameworks, supporting production systems, and deploying responsible AI solutions.
Provide customer-facing technical support for the SaaS platform, troubleshoot issues, manage Zendesk workflows and service metrics, and coordinate bug resolution and product improvements with Product and Engineering. Develop support documentation and training materials, assist with demonstrations and onboarding, and partner with Sales and Customer Success to improve adoption, satisfaction, and retention.
Design and optimize CI/CD pipelines, secure Azure infrastructure, and MLOps/LLMOps workflows for software and AI workloads. Manage containerized deployments and observability, integrate AI-assisted development and security tools, and collaborate across teams to improve reliability, release workflows, and cost efficiency.
Understand business processes across multiple systems and define integration requirements for Microsoft Dynamics 365 solutions. Bridge business and technical teams by documenting and supporting integrations, gathering requirements, and writing user stories with clear acceptance criteria.
Gather, analyze, and document business and technical requirements, translating them into user stories, acceptance criteria, process models, and specifications for enterprise software products. Partner with stakeholders and Agile delivery teams to support Azure-based product development, evaluate AI-enabled use cases, and ensure solutions meet business, security, and operational needs.
Design and build scalable, cloud-native SaaS platforms and production-ready AI agents, including Graph-RAG solutions, while leading architectural decisions and developing high-performance APIs. Guide engineering teams on architecture, cloud infrastructure, and data platforms, and collaborate with product, sales, customer success, and engineering teams on technical solutions.
Complete backlog items, support team solutions and products, and implement networking solutions according to best practices and standards. Improve efficiency through automation and produce clear documentation and dashboards.
Execute and document functional, regression, integration, and UAT testing for the SLAMNET-Parcel implementation, including validating Mexico Brokerage workflows and recording defects with supporting evidence. Analyze second-level support issues, coordinate defect triage and fix validation with business and technical teams, and support go-live and post-go-live stabilization.
Design end-to-end Azure Government solutions and secure cloud-native and AI-enabled architectures aligned with business needs. Establish architecture standards, review designs, guide engineering teams, and collaborate with product, security, infrastructure, and delivery stakeholders.
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Design and maintain relational and document-based data models, optimize queries and stored procedures, and resolve data quality issues. Deploy and support production data pipelines, APIs, and software while applying automated testing and continuous delivery practices.
Architect and build scalable full-stack applications using .NET and Angular, including microsites, delivery engines, and social media integrations. Collaborate with stakeholders and distributed teams, set code quality standards, conduct reviews, promote AI-assisted development practices, and evaluate emerging technologies.
Develop and maintain automated testing frameworks and risk-based quality strategies for Azure SaaS and enterprise software, covering functional, API, integration, performance, security, and scalability testing. Champion responsible AI-assisted testing practices, collaborate across Agile teams, and improve CI/CD quality gates, test environments, observability, and release confidence.
Operate certificate orchestration and third-party authentication services, and oversee the reliability, scalability, and security of IAM systems across cloud and on-premises environments. Lead global architecture, engineering, analyst, and 24/7 operations functions while supporting IAM technologies, integrations, and complex issue resolution.
Lead the strategy, design, and governance of AI agents, MCP servers, service accounts, and other non-human identities across cloud, SaaS, and on-premises environments. Establish discovery, lifecycle, authentication, and risk controls; drive adoption across engineering teams; and report program metrics while mentoring security engineers.
Lead end-to-end Dynamics 365 F&O solution architecture, including cross-module workflows, data models, integrations, and Clean Core governance. Oversee custom code reviews, deployment pipelines, and architecture reviews across environments.
Design and govern the Customer Insights data platform, including multi-source ingestion, identity resolution, unified customer profiles, calculated insights, and personalized omnichannel journeys. Establish secure integrations and privacy controls, and monitor platform health, data processing, and API performance.
Design and govern secure, scalable public and hybrid cloud architectures, including enterprise networks, automated landing zones, identity structures, and high-availability and disaster recovery systems. Lead cloud migration strategies and chair architecture reviews to ensure deployments meet organizational policies and avoid configuration drift.
Design and operate automated CI/CD pipelines, infrastructure-as-code templates, and Kubernetes-based production workloads across cloud platforms. Improve reliability and performance through observability, high-availability and disaster-recovery measures, secure secrets management, on-call support, and incident root-cause analysis.
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Design and govern security architectures, landing zones, identity controls, data protection, and container security across AWS, Azure, and GCP. Integrate automated security and compliance controls into CI/CD pipelines, and develop cloud monitoring and incident-response capabilities.
Prepare and deliver tailored product demonstrations, scope technical requirements, and design and implement customer integrations with finance systems, including SmartSync, Sage Intacct, and Business Central. Lead complex implementations and migrations, troubleshoot post-installation issues, and maintain training and support documentation.
Design, build, and maintain Azure infrastructure using IaC, and create automated deployment pipelines while enforcing cloud governance, security, and compliance standards. Lead complex infrastructure initiatives, troubleshoot Azure services, mentor engineers, and maintain architecture and operational documentation.
Contribute to the evolution of the internal engineering platform by building and improving CI/CD pipelines, deploying applications on Docker, Kubernetes, and OpenShift, and automating processes with shell scripts. Develop observability dashboards and metrics, and collaborate with development teams to improve platform practices, application deployment, monitoring, and operations.
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