2,301 to 2,325 of 7,086 Azure Jobs

The Senior Infrastructure Engineer will work on exciting projects utilising cutting-edge design and tech, and provide 2nd, 3rd and some 4th line support and engineering across Windows Server, Azure, O365, VMware and Linux OS/platforms. Benefits Not only will the Infrastructure Engineer join a rapidly growing cutting-edge design & technology company, but they will also benefit from … customers and project teams on infrastructure and support aspects. What you will need Unfortunately desire alone is not enough. You will also need key skills in: Windows Server administration Azure/Microsoft 365 administration VMware vSphere/vCenter Linux (CentOS/RedHat/Ubuntu) PowerShell End-user support (both desk-side and remotely). EUD provisioning, maintenance, patching and More ❯

Build and consume RESTful APIs using .NET Core Web API . Implement and maintain containerized solutions using Docker and orchestrate with Kubernetes . Develop and deploy applications in Microsoft Azure cloud environment. Participate in CI/CD processes and contribute to DevOps initiatives. About Us: Ascendion is a leading provider of AI-first software engineering services. Our applied AI More ❯

Power BI, and PowerShell. Minimum 2 years experience. Minimum 4 years experience in IT Development in general Web Technologies – Office 365 (SharePoint) Microsoft – Power Apps, Power Automate, Logic Apps, Azure Functions Database - SQL Server, PostgreSQL, NoSQL, Oracle Repository - Gitlab, GitHub Languages - Python Other Tools – JIRA, Confluence Analytical minded and good design thinking Strong English communication skills Strong understanding of More ❯

Power BI, and PowerShell. Minimum 2 years experience. Minimum 4 years experience in IT Development in general Web Technologies – Office 365 (SharePoint) Microsoft – Power Apps, Power Automate, Logic Apps, Azure Functions Database - SQL Server, PostgreSQL, NoSQL, Oracle Repository - Gitlab, GitHub Languages - Python Other Tools – JIRA, Confluence Analytical minded and good design thinking Strong English communication skills Strong understanding of More ❯

vision, opportunities and challenges, in addition to exploring emerging technologies and innovations. Knowledge and experience in software development framework/methodology e.g. Agile, DevOps and cloud-based technology e.g Azure, AWS. TOGAF, Scrum, ITIL, PMP, Prince2 certification, any domain specific certification, any technology vendor certification (Microsoft, AWS, Oracle etc) or management certification. Ability to use abstract thinking to tie More ❯

this is for you. Required Skills: Strong experience with Windows Server, Microsoft 365 & Active Directory Good knowledge of networking, VPNs, DNS/DHCP, and firewalls Exposure to cloud platforms (Azure/AWS) Excellent troubleshooting and communication skills Interest in FinTech, Crypto, or Web3 technologies is a huge plus Exclusive Benefits: £32,000 - £38,000 Salary Hybrid working with a More ❯

within the IT field. Advanced troubleshooting experience with web applications and related technologies. Excellent knowledge and experience of Microsoft 365, Windows 11, Mac OS and Active Directory. Experience with Azure AD, Intune, Group Policy & SharePoint. Proficiency in installing and configuring Windows operating systems and other software packages. Strong knowledge of LAN and Wi-Fi networks, including troubleshooting LAN clients. More ❯

methodologies. Agile Scrum Master certification. Proficiency in Microsoft Office Suite (Word, Excel, Access, Outlook, Visio, PowerPoint, Project Server Working knowledge of automation and Infrastructure as Code (IaC) usingPowerShell or Azure CLI. Azure Certifications such as Administrator Associate, Solutions Architect Expert, or Migration/Modernization Specialist. Core Competencies Leadership: Ability to inspire, guide, and manage cross-functional teams. Strategic More ❯

expertise in C# and .NET 8 Experience developing RESTful APIs and microservices Solid understanding of Microsoft SQL Server , including database design and query optimisation Desirable: Experience with cloud platforms (Azure, AWS, or GCP) Knowledge of containerisation technologies such as Docker or Kubernetes Familiarity with Kafka or event-driven/pub-sub messaging patterns What's on Offer Salary up More ❯

or DevOps environment. Strong understanding of Agile methodologies and software development lifecycle. Familiarity with DevOps principles, CI/CD processes, and developer tooling. Working experience or strong knowledge of: Azure DevOps (ADO) - Boards, Pipelines, Repos, Artifacts Experience in writing user stories, managing backlogs, and translating complex technical/compliance requirements into executable work items. Proven ability to support QA … Excellent verbal and written communication skills, including the ability to create clear, concise documentation and knowledge base content. What will make you stand out Solid understanding of Git, Microsoft Azure, Infrastructure as Code (IaC) tools (e.g., Terraform, Bicep), and code quality/static analysis tools. Relevant certifications such as: Product Management certifications (e.g., PSPO, CSPO, Pragmatic Institute, or equivalent More ❯

within the IT field. Advanced troubleshooting experience with web applications and related technologies. Excellent knowledge and experience of Microsoft 365, Windows 11, Mac OS and Active Directory. Experience with Azure AD, Intune, Group Policy & SharePoint. Proficiency in installing and configuring Windows operating systems and other software packages. Strong knowledge of LAN and Wi-Fi networks, including troubleshooting LAN clients. More ❯

Framework, with a strong understanding of software design patterns and principles. Proven expertise in modern web technologies such as Vue.js, React, or Angular. Solid experience building and architecting Microsoft Azure cloud solutions, with a deep understanding of microservices architecture. Demonstrated ability to lead and mentor development teams, fostering growth and collaboration. A solid understanding of Agile methodologies, particularly Scrum. More ❯

e.g. Java, Python, Full Stack) but be happy to use C# .Net going forward and pick up new things along the way You have experience with public cloud technologies - Azure, AWS, GCP You have a good knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer More ❯

years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders … concepts to peers 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Capital One will More ❯

years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders … concepts to peers 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Capital One will More ❯

years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders … concepts to peers 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Capital One will More ❯

years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders … concepts to peers 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Capital One will More ❯

years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders … concepts to peers 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Capital One will More ❯

years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders … concepts to peers 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Capital One will More ❯

Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯

Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯

printers, telephones, scanners, projectors, pa equipment, AV lecterns and hardware) Skills/Abilities Windows Server, Active Directory and Microsoft Operating Systems Virtualisation Technologies - particularly HyperV Cloud Technologies - Office365/Azure Experience of leading on installations of servers and networks Ability to make proactive decisions when an ICT emergency occurs. Outstanding levels of customer service with positive & pro-active communication More ❯

Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯

Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯

Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯