1 to 25 of 4,776 Permanent Azure Jobs

cloud services and guide the evolution from legacy systems to cloud-optimized solutions. Essential Responsibilities & Duties: Lead design and implementation of cloud architecture strategies for IT projects across AWS, Azure, and GCP platforms. Architect and deploy cloud-native database solutions, data lakes, and analytics platforms to support aviation stakeholders and business intelligence requirements. Drive cloud migration initiatives from legacy … Monitor, troubleshoot, and optimize cloud database performance to ensure 24/7 availability for airport operations. Required Technical Skills Cloud Platforms: Minimum 5 years hands-on experience with AWS, Azure, and/or Google Cloud Platform, including core services, architecture patterns, and best practices. Cloud Database Technologies: Expertise in cloud-native databases (Amazon Aurora, Azure SQL Database, Google … initiatives. Documentation & Communication: Experience creating technical documentation, presenting to executive leadership, and communicating complex technical concepts to non-technical stakeholders. Preferred Qualifications: Cloud Certifications: AWS Solutions Architect Professional, Microsoft Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or equivalent advanced cloud certifications. Specialized Database Certifications: Microsoft Certified Database Administrator, Oracle Database Administrator Certified Professional, or cloud-specific database More ❯

Senior Infrastructure Engineer - Azure | Greater Manchester | £50,000 - £61,000 | Hybrid | Castlefield are currently supporting a Growing public Sector … organisation in their search for a senior infrastructure Engineer - Azure on a full-time permanent basis. Key Responsibilities: Designed and architected end-to-end cloud solutions on Microsoft Azure to meet business and strategic objectives. Deployed, configured, and maintained Azure services, including Virtual Machines, App Services, AKS, Azure Functions, Logic Apps, Azure AD, Virtual Networks … Skills: Bachelor’s degree in Computer Science, IT, or related field, or equivalent work experience. 5+ years in IT infrastructure or cloud engineering, including 3+ years hands-on Microsoft Azure experience. Expertise in Azure-native services, cloud networking, security, and automation. Proficiency with PowerShell, Azure CLI, and/or Python scripting. Solid understanding of DevOps principles, tools More ❯

scale. Key Responsibilities Design and implement automation workflows across analytics platforms. Build and maintain self-serve applications for internal users using product APIs. Integrate and manage cloud-based services (Azure, AWS) across platforms. Develop and maintain REST APIs to enable seamless communication between tools. Monitor system performance and implement improvements to ensure reliability. Collaborate with global teams in Agile … not a general IT automation engineer . They need someone who can automate processes for analytics platforms (Tableau, Power BI, Microsoft Fabric, KNIME) and integrate them with cloud services (Azure, AWS). Skills & Experience Mandatory: Strong programming skills in Python AND (JavaScript, or TypeScript) . Experience with automation, API integration, and workflow orchestration . Hands-on experience with cloud … platforms (Azure and/or AWS). Ability to build and maintain REST APIs and backend services . Familiarity with CI/CD pipelines and version control (GitHub/GitLab). Experience working in an Agile environment . Strong problem-solving and communication skills. Desirable: Experience with Tableau REST API, Power BI REST API, or Microsoft Fabric automation . More ❯

which both professional and technical capabilities have been clearly demonstrated. A minimum of seven (7) years of architecting, design and development experience with various relevant Microsoft platforms (predominantly with Azure), tools, technologies, patterns, and techniques related to integration and data is required. A minimum of three (3) years of experience must be as an architect or solution designer with … is very much preferred. Experience with industry/domains like pharmaceutical, finance, HR, sales, marketing, and manufacturing is valuable. Architecture certification like TOGAF or similar, and Developer certifications of Azure and/or Microsoft suite technologies is a big plus. Technical skills: In-depth knowledge and thorough experience in working with a variety of integration patterns is very important. … In-depth knowledge and thorough experience in programming, configuring, and/or integrating using/with Azure integration tools like Data factory, LogicApps, Functions, API Management, Data catalog, WebApps, Integration service environment, configuring monitoring & diagnostics, etc., and connectivity & security configurations (certificates, encryptions, etc.). In-depth knowledge and experience with Azure data storage (SQL Server, Data lake, Synapse More ❯

Job description This is a fully in-office position located in American Fork! We are seeking a strategic and hands-on leader to oversee our multi-cloud infrastructure (Azure, Google Cloud Platform, AWS). This in-office role will lead a high-impact team and collaborate across global time zones to ensure operational excellence, reliability, and scalability. The ideal … candidate combines deep technical expertise with strong leadership skills and thrives in a fast-paced, collaborative environment. Key Responsibilities Lead and manage multi-cloud environments (Azure, GCP, AWS) with a focus on availability, scalability, security, and cost optimization. Architect and implement cloud infrastructure using Terraform and other Infrastructure-as-Code tools. Drive DevOps and Site Reliability Engineering (SRE) best … team members. Required Qualifications 8+ years of experience in cloud engineering, with 5+ years in a management role. Deep hands-on experience with Google Cloud Platform (GCP) and Microsoft Azure; working knowledge of AWS. Expertise in Terraform and Infrastructure-as-Code. Strong background in DevOps, SRE, and ITIL/ITSM frameworks. Experience managing and scaling global cloud teams, including More ❯

in Financial Services industry by designing, developing, and operating robust data pipelines. The ideal candidate will have experience in working with Azure Cloud and proficiency in using Microsoft Azure Data Services and platforms such as Azure SQL, Data Warehouse, Data Factory, Data Lakes, HDInsight, and Stream Analytics. Core Azure SQL, MSSQL server. They will also have … and accurate financial status reporting Skills and Attributes for Success To qualify for the role, you must have: Experience in one or more of the following Cloud Platforms: Core Azure SQL and MSSQL server Deep understanding of Azure-native services for data engineering. Experience with Azure Key Vault, Azure Monitor, and RBAC. AWS: Experience with S3 … with BigQuery, Cloud Storage, and Dataflow. Familiarity with Cloud Functions, IAM, and Vertex AI (optional). Experience in one or more of the following Data Platforms: Microsoft: Experience with Azure Data Factory for orchestrating data workflows. Proficiency in Azure Synapse Analytics and SQL Server. Familiarity with Azure Data Lake Storage (Gen2) and Azure Blob Storage. Knowledge More ❯

as Java, C#, Python, or JavaScript Experience with front-end frameworks (React, Angular, or Vue.js) and back-end technologies (Node.js, .NET, Java) Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for application deployment Strong understanding of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB) Solid experience with Agile methodologies and version control tools (e.g. More ❯

automation experience with Octopus Deploy. Awareness of code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional opportunity to More ❯

infrastructure-related initiatives, ensuring alignment with organizational goals and IT strategies. Design and implement resilient, scalable, and secure infrastructure solutions across on-premises, hybrid, and cloud environments (e.g., AWS, Azure, GCP) for M&A activities. Participate and lead from a Nuveen International perspective, troubleshooting efforts for complex infrastructure issues and ensure root cause analysis and documentation working with TIAA … of infrastructure technologies such as: Networking (Cisco LAN/WAN, WIFI, Palo Alto firewalls, Infoblox, ZScaler) Citrix Workspace/Thin Client Technology Virtualization (VMware, Hyper-V) Cloud platforms (AWS, Azure, GCP) Storage and backup solutions Operating systems (Windows Server, Linux) Active Directory, EntraID Proven experience with automation and infrastructure-as-code tools (e.g., Terraform, Ansible, PowerShell). Excellent analytical … problem-solving, and communication skills Preferred But Not Required At least one Industry certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Cisco CCNP, VMware VCP, or CompTIA Security+. Experience in regulated industries (e.g., healthcare, finance, government) Familiarity with containerization and orchestration e.g., Docker, Kubernetes) Related Skills Accountability, Adaptability, Business Acumen, Cloud Platforms, IT Business More ❯

learn Desirable Skills Experience with Atlassian tools (Bitbucket, JIRA) Artifact storage knowledge (Artifactory) Familiarity with Octopus Deploy Experience with static analysis tools (e.g., SonarQube) Control-M experience Cloud experience (Azure, AWS, or GCP) VMware (vSphere) and SAN experience More ❯

This includes Integrating products Managing Data Identity Management systems and software Enhancing existing applications. Must have an excellent understanding of networks and infrastructure. Must have excellent knowledge of the Azure environment and Office 365. This is key position with high levels of responsibility. The Client is based in Central London. This is a 6 month assignment initially. The rate More ❯

Chef, Maven, Ant, Ivy, and UrbanCode would be advantageous. Experience in DevSecOps, including secret management, tools integration to harden the baseline, and privilege management. Associate-level cloud certification in Azure or AWS. Hands-on experience in Azure and AWS cloud technologies, including compute, networking, storage, and security services. Expertise in designing and implementing continuous delivery and/or … of the DevOps implementation. Resolve and escalate issues as necessary. Undertake necessary trainings and certifications on latest technologies We are looking for experience in the following skills: Familiarity with Azure and/or AWS CLI and SDK tools. Knowledge of Linux and Windows server operating systems. Expertise in scripting languages such as Python, PowerShell & Shell. Strong incident fault finding … skills and experience. Familiarity with ITSM, Agile methodologies and tools eg Azure DevOps, ServiceNow Good communication and problem-solving skills. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance and 3 extra days More ❯

You will play a pivotal role in designing, developing, and integrating AI-driven solutions within enterprise environments. Leveraging your expertise in .NET & C# or Python, data science, and Microsoft Azure, you will help shape the next generation of intelligent applications. The ideal candidate is passionate about innovation, thrives in collaborative settings, and is committed to delivering high-quality, scalable … new team. Gain continuous learning and career growth opportunities. Competitive compensation and benefits package. AI & Software Development Design, develop, and maintain AI-powered applications using .NET, C#, Python, and Azure cloud technologies. Build scalable, maintainable, and high-performance AI solutions for enterprise integration. AI Solution Integration Integrate AI services and frameworks to enhance applications with automation, analytics, and advanced … decision-making. Develop smart applications using Azure Open AI, Cognitive Services, and AI-driven APIs. API Development & Cloud Solutions Develop secure, efficient, and scalable RESTful APIs for AI and enterprise applications. Deploy and manage AI/data solutions using Azure Open AI, Azure Kubernetes Service (AKS), and Azure Container Apps. DevOps & Infrastructure Utilize Azure DevOps More ❯

technical capabilities have been clearly demonstrated. A minimum of four (4) years of design and development experience with various relevant Microsoft platforms, tools, technologies, patterns, and techniques related to Azure tools, integration, and data is required. Experience with industry/domains like pharmaceutical, finance, HR, sales, marketing, and manufacturing is highly preferred. Experience with healthcare industry regulations, data security … and compliance standards (e.g. GDPR), and EDI standards (e.g. FHIR, HL7), etc. is very valuable. Developer certifications of Azure and/or Microsoft suite technologies is a big plus. Program, configure, and production support functionalities like APIs, Systems & Data integrations, MSFT suite integration, Device integration programming, ETL processes, deployment scripts, etc. Diagnose and resolve reported defects/incidents in … of constant learning. Other relevant tasks as assigned by the manager. Technical skills: In-depth knowledge and thorough experience in programming, configuring, and/or integrating using/with Azure integration tools like Data factory, LogicApps, Functions, API Management, Data catalog, WebApps, Integration service environment, configuring monitoring & diagnostics, etc., and connectivity & security configurations (certificates, encryptions, etc.). In-depth More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

years Job Summary : We are seeking a highly skilled and experienced Senior Data Engineer to join our team and contribute to the development and maintenance of our cutting-edge Azure Databricks platform for economic data. This platform is critical for our Monetary Analysis, Forecasting, and Modelling activities. The Senior Data Engineer will be responsible for building and optimising data … pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation: Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and loading data from various sources (e.g., APIs … databases, financial data providers) into the Azure Databricks platform. Optimise data pipelines for performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency More ❯

point of contact for platform-related incidents, requests, and escalations. Monitor system performance, uptime, and availability using DataDog. Troubleshoot application, API, and infrastructure issues across multiple environments (mainly on Azure). Collaborate with development, DevOps, and product teams to resolve complex technical issues. Manage incident response and provide root cause analysis (RCA) for platform outages. Automate repetitive support tasks … work experience). Proven experience in technical support, site reliability engineering (SRE), or platform operations. Strong knowledge of Linux/Unix and Windows environments. Familiarity with cloud platforms (AWS, Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker More ❯

development lifecycle (SDLC), including analysis, planning design, development, testing, and deployment Enterprise integration design patterns, microservices design and development, and middleware platforms including integrations, or application programming interface (API) Azure cloud services and deployment strategies Implementing and optimizing data structures for efficient data storage and retrieval in applications Minimum of 2 years of software development experience in Python, and … of any the following areas: Integrating AI/ML features into production applications. Translating business requirements into software design and managing the development lifecycle. Deploying applications on Microsoft Azure, including Azure Storage and Azure Functions. Collaborating with cross-functional teams to implement secure web applications. Designing and maintaining big-data solutions such as Hadoop, Spark, or Kafka. More ❯

Server and MongoDB. Experience designing distributed microservice based architectures. Experience building maintainable codebases using design patterns and modern source control approaches. Using planning tools such as Jira, Github, or Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience with issue and fault management systems. Knowledge and experience of how to … Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes Self-motivated with high levels of initiative. Highly productive with the aptitude to understand and apply technology. You enjoy working with people to More ❯

SQL and Sybase. Proficiency in Agile Methodologies, DevOps, Site Reliability Engineering, and software development; familiarity with tools and technologies such as Amazon S3, AWS, Ansible, Docker, Kubernetes, Linux, Microsoft Azure, Oracle, Python, Splunk, App Dynamics, AI and Terraform at various competency levels. At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY More ❯

non-technical business stakeholders and related parties Desirable Skills Working knowledge of C#/.NET software development, including ASP.NET and related tooling and technologies Cloud-based infrastructure such as Azure or AWS Working experience of agile methodologies and related development processes and tooling i.e. Jira, Trello, Confluence Microservice architecture and related tooling and technologies Working experience of Linux/ More ❯

into software solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills More ❯