1,576 to 1,600 of 3,346 Microsoft-Azure Jobs

implementations at scale. Technical Breadth: Proficiency in Python, Java, or similar languages, alongside strong knowledge of data architecture, DevOps, and cloud platforms (AWS, Azure, GCP). Leadership Excellence: Demonstrated ability to manage senior engineering teams, set strategic direction, and deliver results across multiple concurrent initiatives. Exceptional Communicator: Able ...

must for working closely with internal teams. Experience with Machine Learning, CI/CD and IAC using Terraform for management of Azure/AWS would be beneficial. What you'll get in return The company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with ...

following areas is beneficial: Virtualisation technologies and concepts Windows Server 2016/2019 administration Cloud platforms such as AWS or Azure Red Hat technologies (e.g., Satellite 6, RHEL/CentOS, CoreOS) Active Directory administration (OU structure, RBAC, DFS) VSAN, SCVMM, Hyper-V Networking fundamentals: TCP/IP, DHCP ...

similar frameworks). Hands-on experience integrating and fine-tuning Large Language Models (LLMs) for conversational analytics. Exposure to cloud ecosystems (Azure, AWS, GCP) and understanding of data governance and ethical AI practices. Deep understanding of marketing analytics & digital analytics Knowledge of customer service metrics such as CSAT ...

corporate IT infrastructure , ideally across: International corporate networks End-user compute within corporate environments Data centre infrastructure (server, storage, virtualisation) Public cloud platforms (Azure, AWS, GCP) Big data, visualisation and analytics Leadership experience in project and programme delivery Experience as a client lead or consulting lead under senior ...

10+ years designing large-scale digital transformation solutions - including AI, data platforms, and cloud architectures. AI & Data Expertise in AI/ML platforms (Azure AI, AWS SageMaker, Google Vertex AI), data governance, analytics, and responsible AI practices. Cloud & Integration Strong understanding of hybrid and multi-cloud architectures, APIs ...

tool. Needs to have knowledge around Data specific project executions like - Data Warehousing, Data Migrations, Business Intelligence, Analytics, Big Data, Cloud (AWS/Azure) transformations. Key Responsibilities : Own the technical delivery roadmap across data ingestion, ETL/ELT pipelines, data lake/warehouse models, streaming workloads, and analytics ...

lifecycle management, orchestration, monitoring, and metering. Cloud-Native Deployment: Architect and manage CI/CD pipelines for public and private cloud environments (AWS, Azure, GCP). Production Readiness: Ensure agentic applications meet enterprise-grade standards for security, reliability, and compliance. Team Leadership: Mentor and manage cross-functional teams ...

teams Preferred qualifications • Experience building voice AI or conversational AI systems • Experience with patient-facing systems • Familiarity with cloud infrastructure (GCP, AWS, or Azure) • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage ...

software) medical devices is a plus Experience with Containers, DevOps environments is a plus. Working knowledge of software development tools such as Azure DevOps, Git, etc. is a plus. Strong understanding of Continuous Delivery and Agile development is a plus. Experience working effectively with international teams in Europe ...

such as MSSQL, Oracle and DB2 Enterprise OS such as Windows Server and Linux Hardware virtualisation and cloud platforms such as AWS and Azure Enterprise system architecture and network design patterns Modern object orientated languages, particularly Java Scripting languages, particularly Python Who are Naviam? Naviam was founded ...

GenAI safely and effectively across multiple use cases. Key Responsibilities 1. Environment & Architecture Set-Up Design, configure and manage secure GenAI development environments (Azure, AWS, GCP, or hybrid). Design and implement agent orchestration architectures using frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom event-driven ...

such as MSSQL, Oracle and DB2 Enterprise OS such as Windows Server and Linux Hardware virtualisation and cloud platforms such as AWS and Azure Enterprise system architecture and network design patterns Modern object orientated languages, particularly Java Scripting languages, particularly Python Who are Naviam? Naviam was founded ...

across ITIL process areas, with a focus on Configuration Management and Change Management. Understanding of cloud computing fundamentals across multiple cloud providers (AWS, Azure, etc.).- Infrastructure Knowledge: In-depth knowledge of infrastructure environments, including servers, storage, virtualization, and mainframe systems. Strong understanding of network concepts, including ...

data-intensive systems Strong SQL and Python for scalable data transformations and services Experience with at least one major cloud platform (AWS, Azure or GCP) Hands-on experience with semantic or ontology-driven data models, including: Graph databases (e.g. Neptune, Neo4j, Blazegraph, Stardog, TigerGraph, Foundry, Timbr) RDF/ ...

operating in Agile delivery models Demonstrated backlog ownership and prioritisation capability Strong stakeholder management skills Experience balancing operational stability with modernization Preferred Experience Azure, AWS or GCP exposure FinOps principles DR and resilience architecture Platform engineering transformation programs From many places, we work as one, moving from better ...

knowledge of databases, testing, automation, and CI/CD in agile teams Experience developing on Linux/macOS, using containers, and cloud platforms (Azure/AWS) Familiarity with scalable, secure, and distributed systems, including messaging and APIs A curious, problem-solving mindset with the confidence to tackle complex ...

Desirable (Nice to Have) Experience scaling products from MVP to full production with real user load Cloud or serverless deployment experience (AWS, GCP, Azure, or Vercel/similar) Database schema design and query performance optimisation Familiarity with AI/ML tooling or LLM integrations in production systems SaaS ...

data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior ...

data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior ...

data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior ...

data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior ...

data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior ...

data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior ...

following, or a strong willingness to learn: CI/CD – GitHub Actions, GitLab CI, or similar automated pipelines Cloud platforms – AWS, GCP, or Azure Containerisation – Docker and environment configuration Deployments – staging/production environments, rollback strategies Monitoring & logging – error tracking, performance monitoring, alerting Reliability – uptime, backups, and incident ...