4,497 Azure jobs available for remote work from home. Apply for positions such as Senior Software Engineer I, Automation & AI Engineer, Lead Insurance Data Scientist - P&C, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role serves as a technical anchor for a cross-functional engineering squad, overseeing architecture, design, and development of healthcare data platforms. Responsibilities include building full-stack applications, maintaining data pipelines, and mentoring peers while utilizing AI-accelerated development practices.
The Automation & AI Engineer will design and implement intelligent automation solutions across IT operations, service management, and observability platforms. They will partner with cross-functional teams to build AI-assisted workflows, integrate enterprise systems, and drive the organization's ITSM transformation.
You will collect, manage, and analyze complex insurance data to identify actionable insights and develop analytical solutions. Additionally, you will create dashboards and operationalize analytics applications to support the Property & Casualty business.
The AI Deployment Engineer is responsible for designing, building, and deploying AI-powered solutions across customer environments using platforms like Hatz AI, Co-Pilot, and Claude. They will also manage data governance, troubleshoot technical issues, and identify opportunities for strategic growth within the company's AI service offerings.
The Principal Solutions Architect serves as the senior technical leader for the design, development, and modernization of secure digital solutions. They lead development teams while remaining hands-on with architecture, ensuring high-quality delivery for commercial and federal clients.
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The Senior Consultant leads projects evaluating client security and compliance against FedRAMP 20x requirements and industry standards. They design technical solutions, build automated validation methods, and provide expert advisory services to support client authorization milestones.
The Senior Associate Product Manager provides operational ownership for Microsoft Copilot and M365 automation, including configuration, governance, and reporting. They also support citizen development by ensuring use cases are aligned with the firm's operating model and coordinate execution across global teams.
You will own the end-to-end design, development, and maintenance of data pipelines for B2B clients using BigQuery, dbt, and Python. You will also partner with stakeholders to translate complex business requirements into scalable data models and reusable analytical frameworks.
The Infrastructure Engineer will design, build, and maintain infrastructure-as-code foundations using Terraform for cloud and hybrid environments. They will focus on creating reusable modules, hardening pipelines, and standardizing infrastructure delivery across multiple teams.
The Principal Software Engineer will set technical direction across multiple products and platforms while building shared infrastructure and primitives. They will also define quality standards for AI-generated code and architect automated testing and evaluation systems to ensure reliability at scale.
The Senior Production Support Engineer will lead the investigation and resolution of complex production incidents while driving system reliability and observability. They will also mentor junior staff and collaborate with cross-functional teams to implement automation and improve support processes.
You will build and scale the Professional Services practice by developing repeatable reference architectures and driving enterprise adoption of Docker's AI platform. Additionally, you will act as a trusted advisor to strategic customers, leading technical discovery and guiding complex, secure deployments.
The developer will design, develop, and test enhancements for cloud-based pension administration systems using Java and SQL. They will also collaborate with IT and business teams to troubleshoot defects and deliver effective technical solutions.
Develop and evolve high-performance web applications using Java and Spring Boot. Create and maintain scalable microservices while ensuring quality, security, and adherence to development best practices.
The role involves leading application penetration testing initiatives and integrating security research across the software development lifecycle. The engineer will also mentor team members and advise senior management on security risks and adversarial strategies.
Lead and mentor a large team of business systems analysts to improve requirements quality, backlog readiness, and product-aligned delivery. Partner with senior stakeholders to translate complex healthcare payer business needs into actionable, testable requirements while driving operational efficiency.
The Systems Engineer will manage and deliver root cause assessments for complex technical issues while partnering with business leaders to support company objectives. They are responsible for defining workarounds, automating solutions for enterprise environments, and providing on-call support.
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The Data Engineer will design and maintain robust data models, pipelines, and database objects while ensuring alignment with architectural standards. They will collaborate with the engineering team to develop APIs and data management tools within an agile, continuous delivery environment.
You will lead the Corporate Development team in building AI-powered internal tools, automations, and full-stack applications while managing the company's data warehouse. Additionally, you will act as a technical mentor and internal evangelist to drive AI adoption and operational efficiency across the organization.
Design, develop, and optimize applications and reporting solutions using the Microsoft Power Platform to drive business impact. Collaborate with cross-functional teams to translate business requirements into scalable, user-centric technical solutions.
The Cybersecurity Solutions Architect will design and implement AI-driven analytics solutions to detect fraud and cybersecurity threats across large datasets. They will also lead specialized technical teams and manage delivery across multiple federal engagements.
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The Data Engineer will design, build, and maintain performant and resilient data pipelines to meet business requirements. They will also collaborate with stakeholders to ensure data quality, integrity, and availability across upstream and downstream systems.
You will define the technical direction for AI agentic development and build shared infrastructure primitives across multiple products. You are responsible for institutionalizing AI coding standards, managing MCP integrations, and mentoring staff-level engineers to ensure scalable, high-quality software delivery.
Lead the development and implementation of AI and machine learning solutions on the Azure platform. Build and operationalize Generative AI applications, including RAG solutions and intelligent assistants.
Develop and evolve high-performance web applications using Java and Spring Boot. Create and maintain scalable microservices while ensuring quality, security, and adherence to development best practices.
Develop and evolve high-performance web applications using Java and Spring Boot. Create and maintain scalable microservices while ensuring quality, security, and adherence to development best practices.
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The AI Engineer will design, develop, and maintain AI applications and services using the Microsoft technical stack to support university institutional needs. This role involves collaborating with stakeholders to gather requirements, managing AI model performance, and ensuring secure integration within the university's systems.
The Senior Cloud Engineer will lead cloud configuration management, automation, and orchestration efforts across global platforms. They will provide technical leadership, define best practices for CI/CD and infrastructure, and collaborate with product teams to ensure secure and scalable cloud solutions.
The role involves designing and maintaining automation frameworks to ensure the quality and reliability of AI agents and language models. You will collaborate with cross-functional teams to execute test scenarios and integrate automated processes into CI/CD pipelines.
The Senior Data Engineer will design, develop, and maintain complex data systems and warehousing solutions to support pharmacy benefit management. They will collaborate with cross-functional teams to optimize database performance and ensure compliance with healthcare data standards.
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