4,126 to 4,150 of 9,906 Azure Jobs

enterprise architecture or cloud security leadership. Knowledge of modern cloud technologies including serverless, container orchestration, and hybrid cloud models. Professional certifications such as AWS, Azure, GCP, ITIL, TOGAF, CISSP, or CISM. Experience working within federated or multi-business-unit organisations and knowledge of relevant compliance frameworks. What ...

modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g. ...

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++. Studies ...

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 ...

architecture and AI/agentic system adoption* Comfortable working with uncertainty and engineering forwards* AWS or other cloud accreditations (desirable, not essential)* Exposure to Azure or GCP alongside AWS (desirable)**Why Haven?**Haven is the UK's leading holiday operator, welcoming around 4 million guests every year ...

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 ...

systems. Subject matter expert of Security technologies, with demonstrable experience of developing and implementing them. Good understanding of Cloud Infrastructure platforms (e.g. AWS, GCP, Azure). Strong written and verbal communication skills, ability to communicate effectively with all levels of audience including executive leadership. Powerful analytical and problem‐solving ...

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 ...

environment for the purpose of developing creative solutions to difficult technical problems Experience working with Continuous Integration/Development & Integrated development tools such as Azure, Git, Atlassian Suite, Eclipse, and Ansible Knowledge of Red Hat and/or Linux Operating Systems Exposure to Open Systems Architectures and modular design ...

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 ...

more Oracle certifications across OCI, Data Management, AI Services or Autonomous Database. Experience working with complementary technologies such as Python, Spark, Databricks, Azure, AWS, OpenShift, Kubernetes or MLOps platforms. Demonstrated ability to structure client problems, shape solutions and identify opportunities for further value creation. Ability to travel as required ...

experience with web libraries such as FastAPI, Flask, or DjangoHands-on experience with containerization (Docker), CI/CD pipelines, and cloud environments (we use Azure)Experience making architecture decisions and troubleshooting complex production systems for reliability, scalability, and performanceAbility to operate independently, take end-to-end ownership, and provide ...

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 ...

team Ability to be on‐call and/or work during off‐hours Preferred Cloud or SRE‐related certifications Working knowledge of Azure Work Flexibility This role is eligible for hybrid work, with up to three days per week from home. Commitment to Diversity, Equity, and Inclusion ...

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/ ...

relationships and communicate clearly with both technical and non‐technical stakeholders. Curiosity, creativity and a continuous improvement mindset will also be important. Experience with Azure, Power Platform, Line of Business system modernisation or working in a regulated environment would be advantageous but is not essential. You will join ...

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 pipelines, governance ...

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 pipelines, governance ...

patterns for enterprise workflows. Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/LLMOps, and lifecycle management across cloud services (AWS Bedrock, Azure AI, GCP Vertex AI).AI Architecture & Security: Understanding of cloud reference architectures, identity and access, data governance, privacy, and compliance. Math & Operations Research: Applied ...

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/ ...

SaaS company. Light scripting or coding ability (e.g. Python) and comfort working with API tools such as Postman. Relevant cloud or security certifications (AWS, Azure, or equivalent). Why This Role AI agents are changing how enterprises operate — and the question of how to govern them safely is becoming ...

systems, or similar experience with other relevant SQL datastores. Operational experience deploying and managing Kubernetes Experience working with Cloud Providers (AWS/GCP/Azure) We value a variety of experiences, so these are not required. It would be an added bonus if you have experience ...

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 ...