5,395 Azure jobs available for remote work from home. Apply for positions such as MS Foundry Cloud / Networking Engineer | B2B Contract, Full Stack Engineer, Azure Senior Data Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The consultant will design and implement a secure, scalable cloud and network infrastructure to support production-grade AI voicebot services on Microsoft Azure. They will manage connectivity, observability, and security compliance while collaborating with cross-functional teams to ensure high availability and performance.
You will own the end-to-end development cycle for a modern, AI-integrated application hosted on Google Cloud Platform. This includes building responsive interfaces, architecting scalable backend services, and integrating Google's Vertex AI for intelligent data processing.
The Senior Data Engineer will lead the implementation of modern data engineering solutions using Microsoft Fabric and the Azure data platform. They are responsible for building and maintaining scalable data pipelines, integration processes, and analytics-ready platforms while ensuring data quality and governance.
The SRE will maintain the reliability, availability, and performance of a large-scale enterprise SaaS platform on Azure. Responsibilities include managing database workloads, performing system patching, automating operational tasks, and leading incident response efforts.
The developer will build, maintain, and enhance secure AI-enabled applications to improve internal business data processing. They will collaborate with stakeholders to design technical solutions and support the deployment of production-ready AI systems.
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You will contribute to designing and delivering advanced agentic AI systems across the full stack, including data pipelines, knowledge graphs, and agent orchestration. You will also build interactive React-based AI chat assistants and high-performance Python services to serve live data.
The Business Analyst will drive strategic initiatives and operational excellence by developing data-driven insights and KPI measurements. They are responsible for managing business requests, supporting workflow optimization, and coordinating leadership communications and planning sessions.
The Software Engineer III will design, plan, and implement full-stack solutions using the Microsoft stack and modern web technologies. They are responsible for the entire delivery lifecycle, including code reviews, mentoring junior team members, and monitoring production performance.
Lead customers through software implementation solutions by leveraging Delinea’s delivery methodology and acting as a subject matter expert. Collaborate with cross-functional teams to gather requirements, design solutions, and maintain client relationships as a trusted advisor.
The Databricks Administrator will manage, configure, and optimize Databricks workspaces, clusters, and workflows to support data engineering and analytics. They will also collaborate with security teams to enforce governance, manage access controls, and automate infrastructure provisioning.
The Product Manager will define, prioritize, and deliver partner integrations across the Empower and Exchange platforms. They are responsible for managing the full lifecycle of integration capabilities, from strategy and roadmap execution to implementation enablement and ongoing product evolution.
The Expert Software Engineer II will design and develop scalable Java and Spring Boot microservices and enterprise-scale data capabilities. They will collaborate with cross-functional teams to ensure end-to-end ownership of features while championing engineering excellence through TDD and modern DevOps practices.
The Appian Configuration Analyst will configure and optimize Appian-based solutions, including workflows, business rules, and interfaces, to support enterprise acquisition system modernization. They will collaborate with cross-functional teams to translate business requirements into technical configurations while ensuring performance and scalability.
Lead a team of BI and data specialists to build scalable data models, analytics solutions, and reporting tools. Partner with stakeholders to translate business needs into actionable insights and maintain high standards for data governance and quality.
The consultant will design, configure, and deploy a production-ready voice-based AI assistant using Microsoft Foundry and Azure AI services. They will also collaborate with internal teams to ensure system scalability, security, and long-term maintainability within an enterprise banking environment.
The Lead Data Engineer will own the architecture and evolution of the enterprise data platform, including Snowflake data warehouse and ETL/ELT pipelines. They will establish engineering standards, mentor team members, and partner with stakeholders to deliver reliable data solutions.
Design, develop, and implement scalable solutions on the ServiceNow platform while managing integrations and automation. Collaborate with cross-functional teams to troubleshoot platform issues and ensure high availability and performance.
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You will build and maintain Unity-based field applications while managing client-to-cloud data synchronization and backend service integration. Additionally, you will implement automated testing and leverage AI-assisted development tools to ship high-quality features across the full stack.
The Senior Engineer will design and build enterprise-grade big data solutions on Microsoft Azure to support Medicare/Medicaid operations. They will collaborate cross-functionally to translate business requirements into scalable, AI-driven data architectures.
The Data & Analytics Manager leads a cross-functional team to manage the organization's data estate, including architecture, BI, and AI enablement. They contribute hands-on to technical design while partnering with leadership to ensure data is secure, actionable, and aligned with business goals.
The role involves managing security content, optimizing threat detection mechanisms, and overseeing the lifecycle of security use cases within a global CSOC. You will also collaborate with incident response teams and perform quality assurance on security monitoring configurations and operational processes.
The role involves managing security content, optimizing threat detection mechanisms, and overseeing the lifecycle of security use cases within a global CSOC. You will also collaborate with incident response teams and perform quality assurance on security monitoring configurations and operational processes.
Lead the design and implementation of enterprise-scale data architectures within a complex healthcare environment using Microsoft Azure. Define data models, governance frameworks, and integration solutions to support operational, analytical, and AI/ML use cases.
The SDET Engineer will design, build, and maintain robust, scalable test automation frameworks for web, API, mobile, and microservice environments. They will also collaborate with cross-functional teams to embed quality engineering practices throughout the SDLC and mentor junior engineers.
The developer will design, build, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. Responsibilities span the full engineering lifecycle, including architectural design, implementation, deployment, and post-release support.
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The Senior Sales Engineer acts as the technical backbone of the sales organization, responsible for evangelizing, designing, and demonstrating the business value of Arctic Wolf solutions to prospective customers. They work closely with account executives to drive new-business acquisition, manage technical wins, and provide expertise throughout the buyer's journey.
The Applied AI Engineer will design, build, and deploy production-grade AI solutions, including agents for contract review and technical support, within a Microsoft Azure environment. They will also serve as the technical lead for AI initiatives, integrating enterprise systems and establishing best practices for secure AI development.
The Technical Lead will oversee AWS program delivery, architecture, and DevSecOps standards while driving automation and compliance-as-code initiatives. They will also support business capture, partner relationships, and mentor engineering teams in cloud and AI technologies.
The Solution Architect will design scalable cloud architectures and data solutions to support healthcare payer systems and CMS interoperability mandates. They will collaborate with cross-functional teams to translate business requirements into technical roadmaps and provide ongoing implementation support.
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