4,401 to 4,425 of 9,005 Permanent Azure Jobs

developers, QA, DevOps, and business teams. Key Skills: Java, Spring Boot, Spring, REST APIs, Microservices, SQL, JUnit, Git, Maven/Gradle, Docker, AWS/Azure, Agile/Scrum, CI/CD, Object-Oriented Programming, Data Structures, Algorithms. ...

personalisation, conversational commerce, intelligent search, and autonomous merchandising — integrated into commerce platforms or built on cloud AI services (e.g. Google Vertex AI, AWS Bedrock, Azure OpenAI) Driving build vs. buy decisions across commerce platforms, AI orchestration frameworks, and supporting infrastructure, bringing a point of view grounded in delivery experience … stakeholders — able to build trust, communicate delivery status with clarity, and navigate competing priorities and risks Working knowledge of cloud platforms (AWS, GCP, or Azure) as deployment and infrastructure environments for commerce and AI systems Demonstrable interest in agentic commerce and AI — through delivery of AI-powered features, proof ...

personalisation, conversational commerce, intelligent search, and autonomous merchandising — integrated into commerce platforms or built on cloud AI services (e.g. Google Vertex AI, AWS Bedrock, Azure OpenAI) Driving build vs. buy decisions across commerce platforms, AI orchestration frameworks, and supporting infrastructure, bringing a point of view grounded in delivery experience … stakeholders — able to build trust, communicate delivery status with clarity, and navigate competing priorities and risks Working knowledge of cloud platforms (AWS, GCP, or Azure) as deployment and infrastructure environments for commerce and AI systems Demonstrable interest in agentic commerce and AI — through delivery of AI-powered features, proof ...

lifecycle. It would be an advantage if you also have A postgraduate qualification in Computer Science, UX Design or a related discipline. Experience with Azure-hosted applications, Azure DevOps or GitHub. Experience in medical devices, healthcare, life sciences or another regulated industry. Experience designing AI-enabled products ...

Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration … handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer ...

Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration … handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer ...

Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration … handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer ...

Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration … handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer ...

designer and QA teams. The team is to deliver the product roadmap alongside driving further adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want … plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About You: You will have a strong engineering background ...

Pricing, Marketing and Customer domains to develop, deploy and operate data-driven products at scale. This is an opportunity to work on a modern Azure-based data platform, solving large-scale data engineering challenges focused on scalability, reliability, performance and developer experience. Your work will directly support the delivery … architectural decisions and the evolution of data engineering standards across the organisation. Optimising distributed workloads for performance, scalability and cost efficiency across the Azure ecosystem. Supporting the long-term development of ASOS's data platform and engineering practices. Working with multiple Data Science and Machine Learning teams across ASOS ...

equivalent). Secure Web Gateway (SWG). Zero Trust Network Access (ZTNA). Identity & Access Management (SSO, MFA, Conditional Access). Cloud Security (AWS, Azure, GCP). Network Security and Routing Concepts. VPN Technologies and Traffic Steering. SIEM and Security Integrations. Threat Prevention, URL Filtering, SSL Inspection. Security Architecture … Enterprise Design. Preferred Certifications: CISSP. CCSP. PCNSE/Palo Alto Prisma Access. Zscaler Certified Architect. CCIE Security/CCNP Security. Azure Security Engineer or equivalent. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term ...

Are you curious about how networks, cloud platforms and IT systems keep modern businesses connected and running? We're looking for an ambitious IT Engineering Apprentice to join our growing team and start building a ...

Python and leading AI development frameworks.Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls.Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services.Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project lifecycle.Provide … LangChain or similar technologies.Deep understanding of LLM architectures, Generative AI, Agentic AI concepts, RAG frameworks, embeddings, and prompt engineering.Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms.Experience working in a technical client-facing role, preferably delivering AI or data-driven transformation programmes.Strong understanding of AI solution ...

issue resolution. Managing risks, dependencies and backlog priorities to support successful delivery. Maintaining accurate project documentation, reporting and records within tools such as Azure DevOps and SharePoint. Sharing knowledge, promoting Continuous Improvement and best practice and supporting colleagues within the wider BA team. What … software development lifecycle (SDLC) and experience working closely with technology teams to deliver business and customer value. Experience using tools such as Azure DevOps, Jira, Confluence, or similar platforms to manage requirements, document processes and support delivery. Diversity and inclusion At AQA, we're committed to creating a workplace ...

leading AI development frameworks. Implement and enhance AI solutions through prompt engineering, embeddings, orchestration frameworks, and security controls. Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services. Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project … similar technologies. Deep understanding of LLM architectures, Generative AI, Agentic AI concepts, RAG frameworks, embeddings, and prompt engineering. Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms. Experience working in a technical client-facing role, preferably delivering AI or data-driven transformation programmes. Strong understanding ...

working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding of DAG (Directed Acyclic Graphs … entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact Tech stack: Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client’s needs). Backend – We develop all our code in Python ...

room of engineers and just as easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient scripts … custom tooling; experience with REST APIs and SDKs is strongly preferred Hands‐on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data ...

deliver open source code Architect cloud infrastructure solutions like OpenStack, Kubernetes, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) Coach and develop your colleagues where you have insights Grow a healthy, collaborative engineering culture in line with the company values Work from … degree in Computer Science or related software engineering expertise You have sound knowledge of cloud computing concepts & technologies, such as Kubernetes, OpenStack, AWS, GCP, Azure, Ceph, etc. You have practical knowledge of Linux and networking You have Intermediate to Advanced level of Python programming skills You are a dynamic ...

broad set of skills, with diverse interests, and experiences. We support roughly 60 services, made up of about 80 applications across Windows, Linux, Azure and SaaS platforms. Our support ranges from building management systems to core teaching and learning services. To succeed in this role, you should have experience … following areas: Multi-Platform & Cloud Troubleshooting: Expert level root cause analysis and diagnosis across Windows Server, Linux (RHEL and other distributions), Azure, and SaaS environments hosting mission critical services Database Administration & Data Integrity: Advanced, hands-on database management skills across SQL Server, MySQL, and MariaDB, including query optimization, maintenance ...

technology perspective, we work with Python, Java/Kotlin, Angular, Git, Docker, and Kubernetes, as well as current AI models through Vertex AI and Azure AI Foundry. The role offers you significant creative freedom: you will establish AI applications within productive banking processes and act as an AI knowledge … comparable qualificationSeveral years of professional software development experience, ideally with initial experience in AI/ML as well as cloud deployment (GCP or Azure)Very good programming skills in Python or Java/Kotlin, as well as experience with frontend technologies (Angular, TypeScript)Analytical mindset, enthusiasm for code quality ...

environments. Enhance the reliability and scalability of distributed systems running across a hybrid estate. Configure and secure infrastructure across major cloud providers (GCP, AWS, Azure). Contribute to platform observability, monitoring, performance tuning and optimisation. Work with SUSE’s technology stack including Leap Micro , Uyuni , and SaltStack . Collaborate … management tools (Terraform, Ansible, Helm, etc.). Experience managing and securing infrastructure on at least one major public cloud – ideally across GCP, AWS and Azure . Confident working with distributed systems and scalable architectures. Good grasp of Linux systems engineering and networking fundamentals. Desirable Skills: Exposure to KubeVirt highly ...

service analytics tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud, Power BI, or Tableau … well as the AI, ML, and NL tools available in Fabric. This includes leveraging Azure Machine Learning for predictive analytics. Preparing ad-hoc analysis and presenting results in a clear manner Work with stakeholders and business analysts to identify the business requirements and the expected outcome As the Business ...

experience with ETL tools and frameworks. Experience with data warehousing concepts and dimensional modeling. Strong experience in cloud platforms such as AWS/Azure/GCP. Experience with big data technologies (Spark, Hadoop, Kafka). Knowledge of API integrations and microservices-based data ingestion. Experience working in Agile/ ...

through to implementation and handover. Support the identification and shaping of future AI opportunities once the first use cases have demonstrated value. Desirable skills: Azure AI Foundry and Azure Machine Learning. MLOps practices and tools such as MLflow. Containerisation and orchestration using Docker and Kubernetes. Experience developing copilots ...

will have a global reach, impacting millions of customers. Some of the tech we are using at scale: Javascript, Typescript, Node.JS, GraphQL, REST, Kafka, Azure Cloud, Redis, Varnish Cache, Apollo Federation, Docker, Kubernetes etc. About the team Tesco’s xAPI (Experience API) powers Tesco’s online shopping, enabling customers … using Node.js to create high traffic applications using Express.js, Sails, Koa or similar. Knowledge of microservices development and deployment in the cloud i.e. Azure/AWS/GCP cloud. Knowledge of virtualization, containerization and container orchestration technologies like Docker, Kubernetes etc. Experience with usage of GraphQL, building GraphQL servers ...