4,506 Azure jobs available for remote work from home. Apply for positions such as Senior Software Engineer, Senior AI Engineer, Azure Cloud Operations Engineer/Administrator (m/w/d), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The engineer will design, develop, and maintain high-quality technical solutions for distributed systems and infrastructure at scale. They will also provide technical leadership, mentor team members, and participate in on-call rotations to ensure system reliability.
The Senior AI Engineer will design, develop, and deploy enterprise AI solutions, including Generative AI and AI agents, to drive business processes. They will partner with stakeholders to translate business requirements into product features and manage the end-to-end delivery of data-driven projects.
You will be responsible for the setup, operation, and development of the Azure cloud and Windows server infrastructure. Additionally, you will automate day-to-day operations using Infrastructure-as-Code and provide technical support to internal stakeholders.
You will automate, optimize, and develop the company's cloud and deployment infrastructure while managing CI/CD pipelines. Additionally, you will monitor system performance, resolve technical issues, and collaborate closely with development teams to reduce complexity.
You will serve as a trusted technical advisor to enterprise customers, designing and optimizing scalable data and AI architectures on the Databricks Lakehouse Platform. Additionally, you will lead architecture workshops, mentor client teams, and support business development through technical discovery and solution positioning.
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Act as a primary technical advisor to design, implement, and optimize scalable data and AI architectures on the Databricks Lakehouse Platform. Lead architecture workshops, mentor client teams, and drive the successful adoption of Databricks solutions across enterprise environments.
Design and implement autonomous Agentic AI systems using JVM-based frameworks to optimize insurance workflows. Develop RAG pipelines and integrate LLM-based reasoning components to provide context-aware insights from insurance data.
Design, implement, and administer the Azure foundation and Databricks platform, including managing infrastructure as code via Terraform. Oversee security, networking, data lake architecture, and machine learning infrastructure to ensure high-performance and cost-effective operations.
You will refine and extend the existing Infrastructure-as-Code framework using Terraform and Terragrunt while building AI-assisted self-service platforms for developers. Additionally, you will automate change management processes and maintain CI/CD pipelines to ensure secure and compliant infrastructure delivery.
The role involves managing the full lifecycle of security findings, from triage to remediation, while implementing systemic fixes like policy-as-code. You will also secure modern authentication flows and harden Microsoft Entra ID configurations to ensure a robust cloud security posture.
Lead the design, development, and maintenance of enterprise-scale data pipelines and foundational data assets to support analytics and AI initiatives. Establish scalable data engineering standards and collaborate with cross-functional teams to ensure data accuracy, security, and reliability.
The ETL Engineer will design, build, and maintain ETL pipelines to transform disparate data sources into cohesive solutions for the NIH. They will collaborate with cross-functional teams to support scientific applications and provide guidance on software development best practices.
Design, develop, code, test, and debug complex software products for the IHS Resource and Patient Management System. Provide technical support, troubleshoot clinical application issues, and collaborate with multidisciplinary teams to deliver healthcare solutions.
The Manager of Enterprise Applications oversees the strategic development and administration of the credit union's core systems, CRM, and automation tools. This role involves leading a technical team to ensure system resiliency, security, and alignment with business objectives.
You will build and maintain full-stack features for marketplace products while supporting ML Ops infrastructure like model deployment and data pipelines. You will also collaborate with data scientists to reliably scale machine learning models into production environments.
The Senior Java Developer is responsible for designing, developing, and supporting mission-critical applications for pharmacy benefit management and point-of-sale platforms. This role involves building scalable microservices, troubleshooting complex production issues, and collaborating with cross-functional teams in an Agile environment.
The Principal Cloud Architect will lead the observability and support strategy while driving operational maturity across platform systems. They will define technical standards, mentor team members, and collaborate with stakeholders to ensure quality and security in cloud environments.
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Lead the AI-powered transformation strategy for a major telecommunications client by aligning Microsoft's cloud, security, and data solutions with business objectives. Orchestrate cross-functional teams to drive revenue growth, manage technical roadmaps, and ensure measurable value realization for the customer.
The Senior Salesforce Software Developer is responsible for the design, development, configuration, and support of Salesforce Service Cloud and integrated enterprise applications. This role involves collaborating with cross-functional teams to deliver scalable solutions while mentoring junior developers and ensuring adherence to best practices.
The Principal Software Engineer will design and develop next-generation storage backend technologies for Microsoft Azure. They will lead technical strategy, improve system reliability and scalability, and drive engineering productivity across the Azure Storage ecosystem.
The Sales Development Representative will partner with Enterprise Account Executives to identify quality sales opportunities and grow new markets. They are responsible for evangelizing Eightfold's AI technology to Talent Acquisition and HR executives to drive new business.
The Sales Development Representative will identify and qualify sales opportunities by partnering with Enterprise Account Executives. They are responsible for evangelizing Eightfold's AI technology to HR and Talent Acquisition executives to drive new market growth.
The Principal Platform Architect will lead the observability and support strategy while driving operational maturity across Mayo Clinic Platform systems. They will define technical standards, mentor team members, and collaborate with stakeholders to ensure quality and security in cloud-based environments.
Design, develop, and deploy AI agents using Microsoft Copilot Studio while integrating them with enterprise systems and databases. Collaborate with stakeholders to identify automation opportunities and ensure operational excellence through performance monitoring and troubleshooting.
The Senior Systems Administrator will act as the senior escalation point for complex technical issues and take full ownership of client environments. They will also drive improvements in security, performance, and automation while providing guidance to junior engineers.
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The role involves designing and developing end-to-end solutions for customer profile operational data stores while managing cross-team dependencies. You will lead technical modernization efforts, govern application design, and mentor junior team members to ensure high-quality, scalable software delivery.
Lead a Salesforce engineering team to deliver secure, scalable solutions while driving the adoption of AI-native development practices. Partner with product management and architecture teams to align platform innovations with business outcomes and engineering excellence.
You will support clients with Microsoft licensing strategy, Azure optimization, and digital transformation initiatives. Additionally, you will partner with account managers to provide expert guidance on licensing proposals and help clients maximize the value of their Microsoft investments.
Lead the development of analytical, statistical, machine learning, and applied AI solutions to address business and client use cases. Partner with cross-functional teams to ensure solutions align with business needs, data realities, and technical constraints.
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