351 to 375 of 3,827 Azure Jobs

similar) on the frontend and RESTful APIs backed by relational databases (e.g., Postgres) on the backend. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Solid understanding of DevOps practices, CI/CD pipelines, and containerization technologies like Docker and Kubernetes. • Experience with authentication and authorisation frameworks

similar) on the frontend and RESTful APIs backed by relational databases (e.g., Postgres) on the backend. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Solid understanding of DevOps practices, CI/CD pipelines, and containerization technologies like Docker and Kubernetes. • Experience with authentication and authorisation frameworks

pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach

learning, data science, and algorithmic problem solving Proven experience in data engineering and ML engineering pipelines, and technologies as well as with cloud platforms (Azure, AWS or GCP), ideally across data & AI stacks Proficiency in Python and SQL; additional experience with other languages is a plus Experience working with

learning, data science, and algorithmic problem solving Proven experience in data engineering and ML engineering pipelines, and technologies as well as with cloud platforms (Azure, AWS or GCP), ideally across data & AI stacks Proficiency in Python and SQL; additional experience with other languages is a plus Experience working with

services using technologies such as web APIs, OAuth, and gRPC. Solid understanding of SQL and database design. Excellent troubleshooting and communication skills. Familiarity with Azure and AWS environments. Desirable Skills Knowledge of Entity Framework. Exposure to Java for Android, Objective-C, or Swift. Experience with React for building user

deep understanding of emerging technologies and industry trends Deep expertise of at least one programming language Deep understanding of cloud deployment (e.g. AWS, Azure) Linux scripting (e.g. bash) A holistic understanding of the software development process, from design through to deployment, and associated project management and risks Advanced Docker

workflows ("golden paths"), and seamless integration with existing tools Oversee the design, implementation, and management of scalable, reliable, and cost-effective cloud infrastructure (AWS, Azure, GCP) using Infrastructure as Code (IaC) principles (e.g., Terraform) Drive the enhancement of Continuous Integration/Continuous Delivery (CI/CD) pipelines and automation

software. Technical Skills: Deep understanding of financial systems and applications, accounting software, financial reporting tools, and payment gateways. Expertise in cloud-based platforms (AWS, Azure) and DevOps tools for continuous integration and deployment (CI/CD). Familiarity with regulatory compliance standards and financial auditing processes. Strong communication skills

Qualifications * Strong expertise in *data modeling* (3NF, dimensional, Data Vault), *SQL*, and distributed compute/storage paradigms. * Practical experience with major *cloud platforms* (AWS, Azure, GCP) and modern *data ecosystems* (e.g., Snowflake, BigQuery, Databricks, Starburst/Trino, Apache Spark). * Proficiency in *ETL/ELT orchestration* and workflow tools

Qualifications * Strong expertise in *data modeling* (3NF, dimensional, Data Vault), *SQL*, and distributed compute/storage paradigms. * Practical experience with major *cloud platforms* (AWS, Azure, GCP) and modern *data ecosystems* (e.g., Snowflake, BigQuery, Databricks, Starburst/Trino, Apache Spark). * Proficiency in *ETL/ELT orchestration* and workflow tools

both technical and non-technical audiences. Experience working with large-scale data processing and distributed computing frameworks. Knowledge of cloud platforms such as AWS, Azure, or GCP, with hands-on experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern

Petrel, Kingdom, GeoFrame, or PaleoScan â Familiarity with cloud platforms and distributed computing: o Restful API design and implementation o AWS and Azure o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL programming. â Experience with scientific computing libraries and frameworks

Jenkins and GitHub Actions. Experienced in testing APIs and user interfaces, as well as working with distributed systems on cloud platforms like AWS, Azure, and GCP. Strong analytical and troubleshooting skills with a focus on tracking and improving quality metrics. An effective communicator who thrives in collaborative environments

Technical Architect or similar role. In-depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (eg, AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best

card processing solutions. Knowledge of environment configuration in Windows and Unix systems. Understanding of mobile development processes, security mandates, and distributed/cloud architectures (Azure preferred). Experience with TDD/BDD methodologies and frameworks such as Cucumber. Experience with Docker containers for environment setup, test automation

modeling, and automation. Experienced with healthcare analytics platforms such as Power BI and Tableau for interactive reporting and visualisation. Skilled in leveraging cloud environments (Azure, AWS, or GCP) to build scalable, secure, and compliant analytics solutions. Leadership: Proven ability to lead cross functional global teams and drive enterprise wide

ability to lead multidisciplinary teams. Strong analytical and problem-solving mindset. Preferred Qualifications: DoD 8570 IAT Level II certification. Cloud Architecture certification (AWS, Azure, GCP). Experience with semantic technologies (RDF, OWL, SPARQL) and graph databases (Neo4j, AWS Neptune, etc.). Hands-on experience with vector databases, AI model

assured, JMeter, Playwright. Strong programming experience in Java and Python. Deep understanding of DevOps, CI/CD pipelines (Jenkins, Harness, GitHub), cloud platforms (AWS, Azure) and containerized environments (Kubernetes, Docker). Experience with Kafka/event-driven testing, large data set validations Experience with Agile development processes for enterprise

designing fault-tolerant, high-availability systems. -Background in data modeling and building data dictionaries for big data environments. -Exposure to cloud platforms such as Azure, AWS, or IBM Cloud (in order of preference). -Knowledge of secure software development, including tools like Checkmarx. -Experience with data analytics platforms, workflow

industries. 7 years' experience working with Databricks. Good hands on experience with Spark, Delta Lake, and Unity Catalog Strong understanding of cloud platforms like Azure, AWS and/or Google Cloud Experience designing data lakes, lakehouses, and modern data platforms Proven experience managing and mentoring high-performing data engineering

Competencies: Digital : Cloud DevOps - 6-8+ years experience Essential Skills: Azure DevOps Engineer Experience 7 years Job Summary: The Azure DevOps Engineer will be responsible for designing, implementing, and managing Azure-based DevOps solutions to support Sunbelt Rentals software development and deployment processes. This role … ensures efficient CICD pipelines, infrastructure automation, and secure cloud environments to enable rapid and reliable delivery of applications. Technical Expertise: Strong knowledge of Microsoft Azure services (VMs, Networking, Storage, AKS, etc.). Proficiency in Azure DevOps tools (Pipelines, Repos, Boards, Artifacts). Experience with CICD automation tools

Senior Azure DevOps Engineer | SC Cleared | Inside IR35 6 Month Contract Hybrid - occasional requirement to be in the office as and when needed We are seeking an experienced Azure DevOps Engineer to join our high profile public sector client on an initial 6 month contract. This role … observability tools. Experience with Azure monitoring, logging, and observability tools. Preference to work as part of a team rather than individually. Expert Microsoft Azure and CAF knowledge. Microsoft Azure administration skills/certification. Windows/Linux Admin. Automation scripting (e.g. Terraform). To apply for this position

capabilities and limitations. As well as a wider understanding of the Microsoft technology stack, including but not limited to Azure and SharePoint. Knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. … experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform. Experience with Continuous Integration (CI) and Continuous Delivery (CD), ideally using Azure DevOps. Experience in delivering projects according to an agile methodology, planning projects and releases in sprints and writing Epics, Features and User Stories.

capabilities and limitations. As well as a wider understanding of the Microsoft technology stack, including but not limited to Azure and SharePoint. Knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X++, C#, Visual Studio and Team Foundation Server. … experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform. Experience with Continuous Integration (CI) and Continuous Delivery (CD), ideally using Azure DevOps. Experience in delivering projects according to an agile methodology, planning projects and releases in sprints and writing Epics, Features and User Stories.