4,610 Azure jobs available for remote work from home. Apply for positions such as Senior Network Systems Engineer, Automation developer (RPA in Healthcare), Head of Product, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, implement, and maintain secure enterprise network infrastructure across offices, manufacturing facilities, and cloud environments. Ensure high availability and security through network segmentation, firewall management, and collaboration with cybersecurity and cloud teams.
Design, develop, and deploy healthcare automation solutions using the Boston Software Systems platform and various scripting tools. Collaborate with clients to gather requirements and provide technical support within an Automation-as-a-Service delivery model.
Lead the product roadmap and develop the AI pillar of the core product offering to drive commercial opportunities. Focus on growing the usage of AWS, Snowflake, and Azure emulators while expanding the product suite into auxiliary devX tooling.
The developer is responsible for the design, development, and maintenance of high-quality software using software engineering principles. Key duties include performing complex peer code reviews, mentoring team members, and leading technical standards and implementation discussions.
Define and own the enterprise AI architecture for retail use cases, focusing on open-source-first design and scalable AI blueprints. Lead the implementation of AI observability, security frameworks, and MLOps practices to ensure production-ready AI systems.
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Responsible for the product vision and roadmap of self-service cloud platforms to enable secure and scalable application deployment. Acts as a bridge between business, IT, and engineering teams while managing the product backlog and delivery quality.
Manage the product roadmap and backlog for core infrastructure services, including Azure and AWS platforms. Coordinate between technical and business teams to formalize needs and ensure secure application deployment.
Owns the end-to-end operational execution for cloud reseller and managed customer lifecycles, focusing on AWS public sector customers. Coordinates onboarding, billing transitions, partner program funding, and multi-cloud operations across various internal and external stakeholders.
Lead the DevOps strategy and technical direction for cloud infrastructure, automation, and deployment processes. Manage a high-performing team while overseeing Agile delivery and ensuring system reliability and security.
Act as the first technical responder for live incidents during specific UK out-of-hours shifts to mitigate customer impact. Improve system reliability by reducing alert noise, creating runbooks, and automating operational tasks.
Act as the first technical responder for live incidents during out-of-hours shifts to mitigate customer impact. Improve system reliability by reducing alert noise, creating runbooks, and automating operational tasks.
Act as the first technical responder for live incidents during specific UK out-of-hours shifts to mitigate customer impact. Improve system reliability by reducing alert noise, creating runbooks, and automating operational tasks.
Act as the first technical responder for live incidents during specific UK out-of-hours shifts to mitigate customer impact. Improve system reliability by reducing alert noise, creating runbooks, and automating operational tasks.
The role involves developing test strategies and executing comprehensive functional and integration testing for Manhattan Active WM implementations. The engineer will validate warehouse processes and integrations with external systems like ERP and OMS while collaborating with technical teams in an Agile environment.
Lead Agile delivery for enterprise supply chain initiatives by facilitating all Scrum ceremonies and removing delivery impediments. Coordinate between cross-functional teams and stakeholders to ensure the successful implementation of WMS solutions.
Serve as a strategic pre-sales engineering resource focused on Cisco data center solutions to drive pipeline growth. Collaborate with customers and account managers to design technical solutions and deliver solution overviews.
The role involves eliciting and documenting business and functional requirements for a fintech payment project. The analyst acts as a bridge between business, product, and technical teams to ensure successful delivery of complex initiatives.
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Develop and deploy Machine Learning projects focused on sales prediction and business efficiency. Design data-driven solutions using Python, SQL, and Databricks while communicating results to stakeholders.
Design, develop, and maintain integration solutions to connect systems and automate processes across enterprise environments. This includes building RESTful and SOAP APIs and managing data flows using ETL tools and messaging platforms.
Design, build, and maintain backend APIs and services to scale an AI-native workflow platform. Lead complex backend projects and architect systems that other engineering teams build upon.
Develop and maintain clean, efficient code using .NET frameworks and C# to build digital finance solutions. Collaborate with stakeholders and utilize CI/CD pipelines to ensure software aligns with business goals and quality standards.
Develop and maintain microservices and scalable REST APIs using Java, Kotlin, and Spring Boot. Manage the full software lifecycle, including CI/CD automation, container orchestration, and system observability in an Agile environment.
Develop scalable backend web applications using C# and .NET 8/9 within a product team. Design and integrate REST APIs while leading code reviews and taking ownership of backend architecture.
Provide L2 security coverage for AI and cloud environments by triaging detections and monitoring behavioral anomalies. Develop data analytics dashboards and OCR reporting to communicate risk and compliance posture to leadership.
Build and operate the AI runtime control plane and inline enforcement pipeline across multi-cloud environments. Lead deep investigations into AI-specific attacks and tune runtime policies to balance security with low-friction innovation.
Lead the design and implementation of AI, Generative AI, and Machine Learning solutions to enhance software engineering and IT operations for the VA. Develop AI Copilots, RAG applications, and intelligent automation tools while ensuring compliance with government security and governance standards.
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Lead the design and implementation of AI, Generative AI, and Machine Learning solutions to enhance enterprise software engineering and IT operations for the VA. Develop AI Copilots, RAG applications, and intelligent automation tools while ensuring compliance with VA governance and security standards.
The role involves designing, creating, and optimizing cloud data processing solutions and documentation in collaboration with a team. You will analyze client requirements to deliver optimal business solutions and manage potential technical risks.
Develop and maintain Aras Innovator, an industrial low-code platform for creating rich enterprise applications. Collaborate with the team to implement flexible customization systems for global enterprise customers.
Lead the deployment of the CluedIn platform for customers from installation to go-live. Design and operationalize business data by configuring data quality, matching, and mastering rules.
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