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embedding copilot tools for users within solutions. Experience of Power Platform Centre of Excellence (CoE) and governing/monitoring environments Experience with Azure DevOps and CI/CD. Experience developing and deploying Microsoft Teams Apps Experience with Azure DevOps (or similar tools) for CI/… Broader Microsoft 365 tools (Teams, SharePoint, Power BI). Experience integrating Power Apps solutions with APIs or third-party solutions Knowledge of Azure PaaS, APIs, and integration services. Development experience (.NET, C#, TypeScript). Company Description Version 1 has celebrated over 28 years in Technology Services

future of enterprise AI solutions serving millions of users worldwide. In this role, you will design and implement AI-powered solutions on Microsoft Azure, take ownership of specific AI system components, and collaborate closely with data scientists and senior engineers to deliver scalable, production ready AI systems. … with SQL Server to design and optimize database schemas, queries, and stored procedures Design and implement AI/ML model deployment pipelines on Azure (Azure ML, AKS, Azure Functions) Collaborate with cross functional teams, including product managers, designers, and QA engineers Participate in code

Experience with front-end frameworks (React, Angular, or Vue.js) and back-end technologies (Node.js, .NET, Java) Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for application deployment Strong understanding of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB) Solid experience with Agile methodologies

configuring and using other data stores (SQL/SharePoint/Lists). Experience developing and deploying Microsoft Teams Apps. Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with the wider Microsoft 365 platform including SharePoint, Forms, Teams. … Server). Experience with Azure DevOps (or similar tools) for CI/CD and backlog/progress tracking. Experience with Microsoft Azure PaaS/Azure Integration Services. Power Platform Certifications would be a plus

C#, HTML5, CSS, JavaScript frameworks . Familiarity with Microsoft O365 services (Power Automate, Power BI, SharePoint Online, Teams). Knowledge of Azure AD, Hybrid AD, Azure automation (desirable). Understanding of MS licensing and SharePoint technologies. PowerShell scripting and Azure DevOps/GitHub

C#, HTML5, CSS, JavaScript frameworks . Familiarity with Microsoft O365 services (Power Automate, Power BI, SharePoint Online, Teams). Knowledge of Azure AD, Hybrid AD, Azure automation (desirable). Understanding of MS licensing and SharePoint technologies. PowerShell scripting and Azure DevOps/GitHub

collaboration skills with both technical and non-technical stakeholders. Desired Skills: Experience developing custom SharePoint Framework (SPFx) web parts or extensions. Familiarity with Azure Services and cloud-based integration patterns. Knowledge of Unit Testing frameworks Understanding of Agile/Scrum methodologies and working in iterative development environments.

About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding … adaptability to client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex

code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This

levels of the organisation and 3rd parties . Experience working with the following technologies: JavaScript, React, C# . NET , Python, SQL, APIs , Azure, Power Platform, SaaS , PaaS , IaC . Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP , MCP etc . Experience in architecture … techniques e.g. Agile, C4, UML , TOGAF , Microsoft Well-Architected Framework , design patterns . Experience using modern tools in support of delivery: e.g. Azure DevOps, LeanIX , Lucidchart , Figma, Balsamiq, M365. Excellent understanding of public cloud hosted infrastructure and application integrations. Experience in building Minimal Viable Products

would be advantageous. Experience in DevSecOps, including secret management, tools integration to harden the baseline, and privilege management. Associate-level cloud certification in Azure or AWS. Hands-on experience in Azure and AWS cloud technologies, including compute, networking, storage, and security services. Expertise in designing … escalate issues as necessary. Undertake necessary trainings and certifications on latest technologies We are looking for experience in the following skills: Familiarity with Azure and/or AWS CLI and SDK tools. Knowledge of Linux and Windows server operating systems. Expertise in scripting languages such as Python, PowerShell

JavaScript, PowerShell, Python, Bash, SQL, .NET, Java, PHP, Ruby, PERL, C++, R, etc Strong skills on Application development tools and practices including Azure, .NET stack, C#, SQL, API and Microservices development, DDD, Unit tests. Desired experience with frontend frameworks like Angular or React and Adobe tools for personalization.

sudden unexpected demands Desirable criteria: Experience with CI/CD pipelines, cloud platforms (e.g., Amazon Web Services, Google Cloud Platform (AWS, GCP), Azure) and container orchestration (e.g., Kubernetes) Experience with post-incident reviews Previous involvement in driving adoption of SRE practices across an organization Experience delivering training

Agile IT is a Microsoft‑focused consulting and managed services provider. We help customers modernize and secure Microsoft 365, Azure, Azure Government, and Microsoft GCC High, with a mission to make CMMC Level 2 practical and sustainable through repeatable architectures, evidence automation, and managed … public sector and enterprise clients secure and successful. Key Responsibilities Architect Secure Cloud Solutions: Design end-to-end cloud architectures on Microsoft Azure (including Azure Gov/GCC High) that meet clientsâ€TM technical requirements and compliance needs. This includes selecting the right Azure

Role Title: Senior Azure DevOps Engineer - Simulation Locations: Hybrid working with one of the following locations as your primary site: Derby, Manchester or Warrington We anticipate paying a salary between £48,000-£63,000 DOE. We are Rolls-Royce SMR and we're doing something that's never … Selection Criteria For This Role Are Experience working in an Agile development environment across the full software development lifecycle. Strong knowledge of Microsoft Azure services (App Services, VMs, Azure SQL Database, Azure Active Directory) and cloud-based architectures. Proficiency in scripting and automation

Senior Cloud Engineer, you will be part of a supportive and skilled team responsible for delivering change to our public cloud (Microsoft Azure). The role requires skills and experience across the Microsoft Azure stack to enable the successful automation, monitoring and management … Azure environment. Utilising your skills and experience and bringing knowledge from internal and external sources you will support the Cloud Engineers to implement new ways of working aligned with best practice to develop and run our IT services in the cloud. You will coach and train Cloud Engineers

pivotal role in designing, developing, and integrating AI-driven solutions within enterprise environments. Leveraging your expertise in Python, data science, and Microsoft Azure, you will help shape the next generation of intelligent applications. The ideal candidate is passionate about innovation, thrives in collaborative settings, and is committed … career growth opportunities. Competitive compensation and benefits package. AI & Software Development Design, develop, and maintain AI-powered applications using .NET, C#, Python, and Azure cloud technologies. Build scalable, maintainable, and high-performance AI solutions for enterprise integration. AI Solution Integration Integrate AI services and frameworks to enhance applications

SAML, Entra Connect). Develop and manage automation solutions to streamline infrastructure deployment, management, and monitoring. Implement and optimize automation tools such as Azure DevOps (or other CI/CD pipelines), Terraform, Node-Red, and Packer. Deploy and manage monitoring tools (Zabbix, SolarWinds SentryOne, and other network/… database monitoring solutions). Ensure secure cloud infrastructure management across Azure and AWS environments. Experience & Skills: It will be useful to have some of the following skills and experience: Strong expertise in defining, delivering, and supporting robust, resilient, and secure enterprise infrastructure. Experience with IT audits and compliance

queries, stored procedures, functions, and views. ? Knowledge of indexing, performance tuning, and database normalization. *Additional Technical Skills* ? Experience with Git version control (GitHub, Azure Repos, GitLab). ? Knowledge of CI/CD pipelines (Azure DevOps preferred, GitHub Actions). ? Experience with cloud platforms (Azure

Java, J2EE, WebSphere RAD, Eclipse, WebSphere Application Server, Apache, Tomcat, JBoss, Relational Database design, Crystal Reports, Business Objects, Informatica, Trillium, PeopleTools, Azure DevOps, WebServices, REST services, API development, AWS, Azure, Windows Server, Linux, Active Directory, PowerShell, Python, Shell Scripting, React.js, Node.js, ServiceNow. DTS offers excellent compensation

driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High … Management team. Suitability for security clearance. Desirable Skills, but not essential: Proficiency in Arcade scripting across ESRI runtime environments. Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms

driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High … Management team. Suitability for security clearance. Desirable Skills, but not essential: Proficiency in Arcade scripting across ESRI runtime environments. Familiarity with the Microsoft Azure cloud platform, including data and AI services, and MLOps Knowledge of geospatial data warehousing and analytics. Familiarity with leading AI/ML platforms

skills. Knowledge of scripting languages (JavaScript, Python, PowerShell). Familiarity with Microsoft Power Platform and Microsoft Fabric. Experience deploying applications to Azure cloud services. Understanding of legal compliance processes and regulatory reporting. Knowledge of version control, release management, and secure coding practices. Excellent communication skills

indexing, query optimisation, deadlock resolution, and database profiling tools. *Architecture & DevOps* ? Experience designing scalable, secure, fault-tolerant systems. ? Familiarity with cloud services (preferably Azure: App Services, SQL Azure, Key Vault, Storage). ? Experience with CI/CD pipelines (Azure DevOps, GitHub Actions). ? Knowledge

technologies. Strong understanding of AI/ML concepts, frameworks, and lifecycle management. Experience designing and implementing cloud-based data and AI solutions (e.g., Azure, AWS, GCP). Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Databricks. Experience with Microsoft Fabric. Proficiency with data integration … data quality tools and techniques Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks) Skilled in selecting and architecting AI frameworks (e.g., TensorFlow, PyTorch, Hugging