76 to 100 of 5,176 Microsoft-Azure Jobs

leading advisory firms with a truly global footprint. We're looking for a Data Warehouse Solution Engineer to take ownership of evolving, maintaining, and supporting our newly established Azure data warehouse. In this hands-on role, you'll collaborate with the Applications Team, Finance, the Data Governance & Quality Manager, and the wider IT function to ensure our data … accurate, timely, and trusted. This is a fantastic opportunity to help shape how data is used across the business. You'll play a central role in extending our Azure data warehouse through new system integrations, enabling deeper insights that support smarter, faster decision-making at every level of the firm. With a small but growing team, we're … database design methodologies. Experience in setting up monitoring and data quality exception handling. Strong data modelling experience. Experience managing and developing CI/CD pipelines. Experience with Microsoft Azure products and services, and proficiency in ETL processes. Experience of working with APIs to integrate data flows between disparate cloud systems. Strong analytical and problem-solving skills, with More ❯

experience in Project Management and Cloud/Web Application Development. • Required Minimum certifications: PMI PMP or equivalent. • Working knowledge of C#, .NET, COM+, DCOM, Visual Studio, GitHub, and Azure DevOps - CI/CD pipelines with YAML. • Working knowledge of SQL Server interfaces. • Working knowledge of Azure Active Directory, Azure Kubernetes Service, Azure VMs, Azure Key Vault, Azure Service Bus, Azure Monitor, Azure Functions, and Microsoft IIS. • Working knowledge of automated testing with xUnit and Selenium. • Working knowledge of Domain Driven Design (DDD), Test Driven Design (TDD), Microservices, and Serverless Compute. • Working knowledge of SW Development Lifecycle (SDLC) methodologies, including Waterfall and More ❯

Automate, Power Pages) Proven experience in Power Platform Application Lifecycle Management Proficiency in C# .NET, JavaScript, HTML, and SQL Experience working within agile and DevOps environments Knowledge of Azure services and their integration with Dynamics and Power Platform Experience managing and optimising large-scale Dataverse environments Expert-level familiarity with XRM Toolbox and its applications in system customisation More ❯

C++, C#, Python, Perl, etc. Automation: Ability to automate tasks using PowerShell scripts Microsoft Administration or Engineering Certifications: Holding certifications in Microsoft administration or engineering, including Azure certifications Pay Information Full-Time Salary Range: $146670 - $249330 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of More ❯

with Enterprise Architecture, Cloud Native Engineering, and Microsoft support to build and operationalize AI Anchor Platform as a Service, comprising Model Garden and Control Plane by leveraging Azure and OpenAI technologies. • Manage AI Engineering and Operations teams, fostering continuous upskilling to enable the design, deployment, and scaling of Generative-AI solutions that boost efficiency and spur innovation. … and machine learning solutions, including production-grade Generative-AI applications preferably, in a large multi-function financial services organization. • Strong technical skills in AI technologies, including experience with Azure and OpenAI familiarity with building and operationalizing AI platforms equipped with Model Garden and Control Plane, and Agentic AI. • Experience in executing on strategic AI initiatives and aligning foundational … building a Knowledge Base for AI, cloud migration and engineering cloud centric environments. • Experience supporting AI Operations, observability and incident management. • Extensive experience with Agile practices including Scrum, Azure DevOps, Git and CI/CD. • Expert knowledge of project lifecycles and management methodologies. • Expert knowledge of engineering principles, practices, and theories, and methods to identify and solve the More ❯

with Enterprise Architecture, Cloud Native Engineering, and Microsoft support to build and operationalize AI Anchor Platform as a Service, comprising Model Garden and Control Plane by leveraging Azure and OpenAI technologies. Manage AI Engineering and Operations teams, fostering continuous upskilling to enable the design, deployment, and scaling of Generative-AI solutions that boost efficiency and spur innovation. … and machine learning solutions, including production-grade Generative-AI applications preferably, in a large multi-function financial services organization. Strong technical skills in AI technologies, including experience with Azure and OpenAI familiarity with building and operationalizing AI platforms equipped with Model Garden and Control Plane, and Agentic AI. Experience in executing on strategic AI initiatives and aligning foundational … building a Knowledge Base for AI, cloud migration and engineering cloud centric environments. Experience supporting AI Operations, observability and incident management. Extensive experience with Agile practices including Scrum, Azure DevOps, Git and CI/CD. Expert knowledge of project lifecycles and management methodologies. Expert knowledge of engineering principles, practices, and theories, and methods to identify and solve the More ❯

technologies Understanding of the full software development lifecycle Excellent communication and problem-solving skills Experience working within structured development and quality systems Desirable Skills: ASP.NET Core, Visual Studio, Azure DevOps, GitHub JavaScript frameworks (e.g. Vue.js, React) Power BI or SQL Server Reporting Services Cloud technologies and JSON Salary: up to 45K plus 25 days holiday, Company pension, bonus More ❯

management systems (e.g., Git), build servers, artifact repositories, and related components. Working knowledge and administration experience with application lifecycle management systems, such as Atlassian Jira (and related components), Azure DevOps, GitLab, etc. Working knowledge of MS Windows platform and services, including Active Directory/EntraID, Group Policy Objects (GPO), virtual desktop infrastructure (VDI), application deployment frameworks and components … networking, and storage services, and their associated cybersecurity characteristics, logging, monitoring, and auditing capabilities. Working knowledge and hands-on experience with MS Azure and cloud services and technologies, including compute, database, storage, network virtualization, and security services. Working understanding of data Extraction, Transformation, and Loading (ETL) techniques and tools such as Azure Data Factory, AWS Glue More ❯

OpenShift, Rancher) Container orchestration tools (i.e., Kubernetes, OpenShift, Helm) Infrastructure-as-Code (i.e., Ansible, Vagrant, Terraform, CloudFormation) CI/CD automation tools (i.e., GitLab, Jenkins, AWS Code Build, Azure Pipelines) Linux operating systems (i.e., RHEL, CentOS, Ubuntu) Automation and Scripting (i.e., Bash, Python, PowerShell, etc.) Cyber security practices (i.e., Active Directory, HBSS, etc.) Working in headless RHEL environments … Kafka, Databricks, MinIO) Cyber security tools (i.e., OpenSCAP, Snyk, JFrog Xray, Anchore) Secret management tools such as HashiCorp Vault Experience: Cloud computing infrastructure or development (i.e., AWS, Microsoft Azure) Full-stack software development (i.e., Java, .NET, JavaScript, SQL) Utilizing Atlassian suite or equivalent (i.e., JIRA, Confluence, Bitbucket) Test automation frameworks (i.e., Selenium, Cypress) Configurating OIDC and OAuth More ❯

cloud infrastructure and cloud service needs for an Integrated Digital Environment (IDE), assist in assessing the integration of existing custom IDE's implemented on Amazon Web Services and Azure throughout the U.S. military's mission systems environments, and assist with the implementation of the IDE, which will the deployment and configuration of COTS and GOTS applications, network connectivity … a Master's degree with 3-5 years of experience in cloud engineering, cloud infrastructure, or a similar role. Hands-on experience with Amazon Web Services and Microsoft Azure Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform, Ansible, or AWS CloudFormation. Experience with containerization technologies like Docker and Kubernetes. Familiarity with CI/CD tools More ❯

PHP front-end applications and applets. • Experience with SQL and mySQL. • Microsoft SharePoint certification (MCSA, MTA), Teamwork Administrator, Power Platform certification, 365 Certification. • Knowledge of developing for Azure or AWS cloud environments. • Familiarity with front-end frameworks such as React or Angular. • Portfolio of UI/UX design work showcasing a variety of projects and design skills. More ❯

on knowledge of database systems like SQL Server, Oracle, or similar, and ORM frameworks such as Django ORM or SQLAlchemy. Familiarity with cloud deployment (AWS, Google Cloud Platform, Azure) and containerization (Docker, Kubernetes) is a plus. Solid understanding of CI/CD practices and tools. Excellent problem-solving skills, attention to detail, and ability to work under deadlines. More ❯

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 More ❯

of agile design principles Working in Agile/Scrum environments In depth knowledge of PowerShell Basic understanding of C#, .NET Experience of using a source code control system (Azure Devops, Git, Bitbucket) Confidence to challenge existing design practices and processes Ability to write unit tests and feature tests Experience contributing to a DevOps environment (testing, CI, CD, automation More ❯

and workflows, etc. to help us continue to be successful, grow and best service our customers. Notes: • Experience with cloud platforms like Amazon Web Services (AWS) and Microsoft Azure • Knowledge in containerization using Dockers, Kubernetes, or other container orchestration tools • Should be able to troubleshoot and resolve complex issues • Good communication skills are essential for collaborating with More ❯

enhance business processes. Integration skills: Expertise in using REST/SOAP APIs and other integration methods to connect ServiceNow with external systems, including external AI services like OpenAI, Azure Cognitive Services, or Google Cloud AI. Strong communication and collaboration skills: Ability to work with cross-functional teams, understand requirements, and effectively communicate technical concepts to non-technical stakeholders. More ❯

to provide exceptional customer interaction (verbal, written, face-to-face) Systems administration (e.g. Linux, Windows) experience with IaaS Solutions (egs.: Amazon Web Services, Google Compute Engine, or Microsoft Azure). Administering and managing an on-prem installation of an Appian environment is a huge plus. Administration of one or more RDMS platforms (e.g. MySql, Oracle, DB2, SQL More ❯

and develop proofs of concept for LLM-based applications as directed. Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO-specific data policies and standards. Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems. Stay More ❯

JOB DESCRIPTIONSeeking an experienced Cloud Developer to join its Cloud Engineering team. The role involves designing, developing, and deploying cloud automation solutions across Azure, AWS, or GCP platforms, with a strong emphasis on infrastructure as code, cloud migrations, and security integration. Key ResponsibilitiesCollaborate with cross-functional teams to design and implement cloud solutions and global infrastructure initiatives.Use infrastructure … as-code tools (Terraform Enterprise, Azure Resource Manager) to provision resources.Write secure, efficient, and maintainable code in languages like Java and Python.Build applications using AKS, serverless functions (e.g., AWS Lambda), and web technologies.Migrate on-prem applications to cloud platforms (Azure or GCPParticipate in the full software development lifecycle.Continuously improve development processes through feedback (link removed)tegrate … years (10+ preferred) experience as a Cloud Developer or Software Developer.Expertise in Terraform for infrastructure as code.Strong proficiency in Java or Python.Expertise in one or more cloud platforms (Azure, AWS, GCP); multi-cloud exposure preferred.Familiarity with:Serverless apps, AKS/EKSSD-WAN, ExpressRoute, Network Security (Firewall/NSG), DNS, Storage, Monitoring, LoggingDevOps & CI/CD tools (Azure More ❯

to Newport Office). Join IPO's transformation programme as a Senior DevOps Engineer, where you'll support a modern platform, modernise Legacy systems and lead improvements to Azure DevOps and Terraform pipelines. You'll drive automation and embed DevOps best practices across the delivery life cycle. As a Senior DevOps Engineer you will: . Enhance and manage … Azure DevOps and Terraform pipelines deploying into Azure. . Configure and integrate DevOps tooling across CI/CD, source control, test automation, monitoring and security scanning. . Champion infrastructure-as-code, automated testing, and shift-left strategies. . Investigate and resolve incidents using tools like Azure AppInsights and Log Analytics. . Collaborate on architecture, estimations, product … risks and issues. . Knowledge sharing and mentoring junior team members. . Experience leading Releases through environments. Technical Essential: . Terraform authoring, upgrading and refactoring for Azure. . Azure DevOps Repos and YAML Pipelines. . Deployment of Apps/APIs via Azure DevOps YAML Pipelines. . Azure platform experience including AppService. . Git. . More ❯

Manage, store, and optimize large geospatial datasets in both relational and spatial databases. Ensure high availability and performance of geospatial services hosted in a cloud environment (e.g., AWS, Azure). Develop automation scripts for data ingestion, transformation, and distribution. Collaborate with data engineers, GIS analysts, and software developers to align portal functionality with project needs. Monitor and troubleshoot … RESTful APIs, web services, and ArcGIS Online/Enterprise services. Understanding of spatial data types (vector, raster) and coordinate systems. Experience with cloud platforms such as AWS or Azure (e.g., S3, EC2, Azure Blob, etc.). Ability to build and troubleshoot data pipelines and ETL processes. Experience with Git and version control systems. Strong problem-solving More ❯

defense. Key Responsibilities: Maintain and enhance helm charts for deployment of Docker-based microservices. Help with release management and deployment of microservices in a Kubernetes environment (AWS EKS, Azure AKS). Help with vulnerability assessments, security monitoring, and incident response automation. Work with developers to implement secure coding practices and application security testing. Deploy DevOps practices for automating … of DevOps software development and infrastructure design. Proficiency in scripting languages such as Python, Bash, or PowerShell. Ability to design, implement, and manage secure cloud infrastructure solutions (AWS, Azure). Proficiency in maintaining CI/CD pipelines with security best practices (GitHub Actions, GitLab CI/CD). Help with release management and deployment of microservices in a … Kubernetes environment (AWS EKS, Azure AKS). Strong knowledge of Helm charts for deployment of Docker-based microservices. Knowledge of logging, monitoring, and alerting capabilities using tools such as Prometheus, Grafana, Splunk, or ELK Stack. Excellent problem-solving skills. Strong passion for conducting research, tackling complex problems, and continuously learning and adopting new technologies. Organization capability with ability More ❯

Manage, store, and optimize large geospatial datasets in both relational and spatial databases. Ensure high availability and performance of geospatial services hosted in a cloud environment (e.g., AWS, Azure). Develop automation scripts for data ingestion, transformation, and distribution. Collaborate with data engineers, GIS analysts, and software developers to align portal functionality with project needs. Monitor and troubleshoot … RESTful APIs, web services, and ArcGIS Online/Enterprise services. Understanding of spatial data types (vector, raster) and coordinate systems. Experience with cloud platforms such as AWS or Azure (e.g., S3, EC2, Azure Blob, etc.). Ability to build and troubleshoot data pipelines and ETL processes. Experience with Git and version control systems. Strong problem-solving More ❯

model performance with business requirements and infrastructure capabilities. Optimization: Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource usage on cloud platforms like AWS, Azure, or Google Cloud. Documentation: Maintain clear documentation of pipelines, dashboards, and monitoring processes for cross-team transparency. Minimum Qualifications Qualifications Education: Bachelor's or Master's degree in Computer … in MLOps, DevOps, or software engineering with a focus on AI/ML systems. Proven experience deploying models in production using MLflow, Kubeflow, or cloud platforms (AWS SageMaker, Azure ML). Hands-on experience with observability tools like Prometheus, Grafana, or Datadog for real-time monitoring. Technical Skills: Proficiency in Python and SQL; familiarity with JavaScript or Go More ❯

model performance with business requirements and infrastructure capabilities. Optimization : Optimize models for production (e.g., via quantization or pruning) and ensure efficient resource usage on cloud platforms like AWS, Azure, or Google Cloud. Documentation : Maintain clear documentation of pipelines, dashboards, and monitoring processes for cross-team transparency. Onsite 5 Days a week in Rosslyn, VA Minimum Qualifications Education : Bachelor … Integration, D evOps, or software engineering with a focus on AI/ML systems. Proven experience deploying models in production using MLflow , Kubeflow, or cloud platforms (AWS SageMaker, Azure ML). Hands-on experience with observability tools like Prometheus, Grafana, or Datadog for real-time monitoring. Technical Skills : Proficiency in Python and SQL; familiarity with JavaScript or Go More ❯