1 to 25 of 147 Microsoft-Azure Jobs in Scotland

Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge ...

improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux ...

improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux ...

knowledge and experience of software design and development in a test‐driven environment Familiar with software development tooling (particularly the Microsoft stack): Azure DevOps as a work management system, Git, particularly branching, pull requests, and good practices Awareness of mechanisms to automate: CI/CD, workflows, hooks ...

professional development within the organisation. Working knowledge in one or more of the following areas: Cloud data platforms such as Google Cloud, AWS, Azure, and Databricks. Programming languages such as Python, R, or PySpark. Agentic & Generative AI platforms such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI ...

delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This ...

Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). ...

evolution of next-generation, self-optimising data and AI platforms that power both operational and analytical data workloads. Leveraging hyperscale cloud ecosystems (AWS, Azure, GCP), you will embed agentic AI capabilities, enabling systems that can reason, adapt, and act with minimal human intervention. We ENABLE intelligent cloud transformation ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). ...

frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes ...

explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge ...

Experience delivering Infrastructure as Code and automation at enterprise scale \n\n Desirable \n \n Experience with AWS and/or Microsoft Azure \n Exposure to AI-assisted development tools such as GitHub Copilot or Claude Code \n Previous experience working within large enterprise cloud environments ...

Shell environments (Bash/Zsh) Experience delivering Infrastructure as Code and automation at enterprise scale Desirable Experience with AWS and/or Microsoft Azure Exposure to AI-assisted development tools such as GitHub Copilot or Claude Code Previous experience working within large enterprise cloud environments ...

shell environments (Bash/Zsh) Experience delivering Infrastructure as Code and automation at enterprise scale Desirable Experience with AWS and/or Microsoft Azure Exposure to AI-assisted development tools such as GitHub Copilot or Claude Code Previous experience working within large enterprise cloud environments Disclaimer Notwithstanding ...

Cloud Platform infrastructure, building Kubernetes-native solutions, and driving cloud engineering best practices. \n Working within a modern cloud environment spanning GCP, AWS, Azure and on-premise, you'll help deliver secure, scalable and automated platform services using Infrastructure as Code and GitOps methodologies. \n Key responsibilities ...

Google Cloud Platform infrastructure, building Kubernetes-native solutions, and driving cloud engineering best practices. Working within a modern cloud environment spanning GCP, AWS, Azure and on-premise, you'll help deliver secure, scalable and automated platform services using Infrastructure as Code and GitOps methodologies. Key responsibilities Design ...

cloud & infrastructure programmes (e.g. cloud transformations, data centre exits, data centre transformations) Leading or managing cloud migrations with at least one of AWS, Azure or GCP Aligning cloud & infrastructure strategies to business objectives and continuous improvement initiatives Familiarity with DevOps, FinOps, platform engineering and SRE is desirable Change ...

frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes ...

secure web application architecture. Experience defining engineering standards, development processes, API standards and secure coding practices. Experience with CI/CD tools (e.g., Azure DevOps, GitHub Actions), infrastructure‐as‐code and automated testing approaches. Demonstrable ability to create technical, architecture and security documentation for assurance processes. Solid understanding ...

migrations and operating multi-cloud environments Deep expertise in DevOps practices including CI/CD, infrastructure automation and cloud-native architectures Proficiency in Azure DevOps with experience migrating to GitHub Strong scripting and automation experience (Python, Bash, Terraform) Solid background in Linux administration, containerisation and orchestration technologies Proven ...

agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices ...

relationship-building capabilities, and adaptability across changing technical contexts. Preferred Knowledge-level & Certifications Associate-level cloud certifications (e.g., AWS Solutions Architect Associate or Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator ...