1,851 to 1,875 of 4,587 Azure Jobs in the UK excluding London

similar. Experience translating business, operational, security and technical requirements into coherent end-to-end solution designs. Familiarity with modern technology ecosystems, including cloud platforms (Azure and AWS), APIs, containerisation, Kubernetes, event-driven architectures and COTS integrations. Experience producing architecture artefacts, integration views, data flow models and assurance documentation ...

engineering solutions. Extensive experience with automated testing and continuous delivery, including test automation frameworks and CI/CD platforms such as GitHub Actions, TeamCity, Azure DevOps, or comparable technologies. Practical experience with cloud-native engineering environments, including cloud platforms, Infrastructure as Code, configuration management, containerisation, and orchestration technologies such ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate: Technical ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate: Technical ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate: Technical ...

Enhancing search and data projections with ElasticSearch. Modernizing components of the platform to .NET8+ and Svelte.js, including containerized deployments. Automating infrastructure with Pulumi and Azure DevOps. Participating in architecture discussions, code reviews, and maintaining engineering best practices. What you may have: Strong experience with C#/.NET, including async ...

F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux ...

expertise in architecting and delivering large scale distributed systems, such as cloud native microservices on Docker/Kubernetes, deployed on modern cloud platforms (AWS, Azure, or equivalent), ensuring scalability, high availability, and performance Demonstrated success as a high impact technical advisor to multiple engineering teams, with proven ability ...

data management (MDM) projects that shape overarching corporate data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). Deep expertise in data integration patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data ...

SAFe Agilist certification. Virtual Leadership: Proven experience leading, coaching, and motivating remote or hybrid delivery teams. Technical Familiarity: Background or familiarity with Azure DevOps and/or software delivery. In return for your expertise, we’ll support you with coaching and development every step of the way. You will ...

architectural patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

data, volumetric datasets or large-scale imaging systems. Experience deploying ML models into production environments. Knowledge of C++ software development. Familiarity with Git and Azure DevOps. Experience with cross-platform development (Windows and Mac). Exposure to cloud-based training workflows. Understanding of cybersecurity principles. About ...

enterprise-scale SAP landscapes. Significant experience designing, operating and modernising SAP workloads across public cloud, private cloud and on-premise environments, including AWS, Azure, SAP RISE and hybrid architectures. Demonstrable experience delivering major SAP transformation initiatives involving SAP S/4HANA, BTP, SAP cloud services, Business AI, Joule ...

architectural patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

emerging issues, cost & schedule implications; Forward facing, able to engage with peers/Customers; Sound understanding of cloud infrastructure environments and technology (e.g. AWS, Azure, Google);Knowledge of the Software Development Lifecycle for applications and services; Working knowledge of Gov Standard 007: Security, NIST standards (800-30/ ...

frontend technologies, specifically JavaScript and React, to help build interactive user interfaces for our prototypes. Cloud Services: Experience working with cloud platforms (e.g., AWS, Azure, GCP). Systems/Backend Languages: Familiarity with other languages used for high-performance backend or ML workloads, such as Rust or C++. ...

interviews, assessments), and contributing to training materials to achieve curriculum outcomes. Requirements Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands‐on knowledge of designing and implementing Data Science solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge ...

emerging issues, cost & schedule implications Forward facing, able to engage with peers/Customers Sound understanding of cloud infrastructure environments and technology (e.g. AWS, Azure, Google) Knowledge of the Software Development Lifecycle for applications and services Working knowledge of Gov Standard 007: Security, NIST standards (800-30/ ...

C++, Python, TypeScript, and Fortran Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux ...

containerization and orchestration technologies, specifically Docker and Kubernetes (K8s), including service meshes and ingress controllers. Advanced experience with major cloud providers (AWS, GCP, or Azure), specifically building and operating highly resilient cloud‐native architectures. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, Splunk, Datadog ...

data, volumetric datasets or large-scale imaging systems. Experience deploying ML models into production environments. Knowledge of C++ software development. Familiarity with Git and Azure DevOps. Experience with cross-platform development (Windows and Mac). Exposure to cloud-based training workflows. Understanding of cybersecurity principles. About ...

sector clients. Understanding of cloud technologies, modern software engineering practices, and DevOps principles. Familiarity with agile delivery tools such as Jira, Confluence, Miro, or Azure DevOps. Key abilities that are necessary for success Able to work effectively in environments where you can adapt to innovative practices involving uncertainty, change ...

right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: D365, Power Apps, Azure TOGAFSAFe UML, ArchiMate, ArdoqWhat you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

Implementing vector databases and orchestration tools like LangChain- Translating complex business problems into software-engineered AI solutions- Deploying on cloud platforms like AWS, GCP, Azure- Contributing to open-source projects or AI/ML publicationTravel RequirementsNot SpecifiedJob Posting End DateThe salary range for this position ...

emerging issues, cost & schedule implications; Forward facing, able to engage with peers/Customers; Sound understanding of cloud infrastructure environments and technology (e.g. AWS, Azure, Google); Knowledge of the Software Development Lifecycle for applications and services; Working knowledge of Gov Standard 007: Security, NIST standards (800-30/ ...