776 to 800 of 6,595 Azure Jobs

degree Nice If You Have: Experience in workflow development with JavaScript or Groovy Experience in application development utilizing SQL or Scala Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications More ❯

clearance Bachelor's degree Nice If You Have: 10+ years of experience using Python, SQL, Scala, or Java 5+ years of experience with a public cloud, including AWS, Microsoft Azure or Google Cloud 5+ years of experience with Distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka 5+ years of experience working on real More ❯

We Would Like You To Bring With You: Familiarity with DevOps tools (e.g., Jenkins, Git, Maven) in a Pega context. Knowledge of cloud-based deployments (e.g., Pega Cloud, AWS, Azure). Exposure to Java, RDBMS, or other complementary technologies. Experience working on a project using the Scaled Agile Framework. Experience in a software development team building modern software products. More ❯

course of action for resolution. Partner with the team and provide coaching as needed. On-call support during critical operational issues, enterprise migrations, Hypercare and Infrastructure support. Knowledge of Azure App Insights. Job requirements Must have: Minimum of 7 years' experience in coding/customizing on the Dynamics 365 CE platform (Online/On-premises) or similar platforms. Comprehensive More ❯

deployments/configurations and definition/evangelism of best practices/standards - Software delivery, including CI/CD and related DevSecOps practices, working with cloud-based platforms such as Azure or AWS (preferred) - Experience working on AI/Gen AI implementations and underlying architecture, and models - Application testing, automation and performance testing tools - Working knowledge of Agile Scrum Boston More ❯

with scripting languages, such as Python, Bash - Expert experience working in an Agile development environment and tempo - Expert experience with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure) -Experience with development leveraging cloud data services (ex: S3, RDS, EFS) -Excellent communication skills (written and verbal) -Well versed with using version control systems -Well versed with using issue More ❯

Title: Cloud Solutions Architect (ONSITE) Job Code: 23802 Job Location: Herndon, VA Job Description: L3Harris Technologies is seeking an experienced Solutions Architect to leverage Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering solutions to improve customer operations and provide information management services. As a member of the L3Harris team, you will work alongside various cross-functional teams More ❯

implementing cross-domain solutions Experience with online collaboration tools such as Confluence, SharePoint, and JIRA Experience with cloud computing tools, such as VMware, Amazon Web Services (AWS), or Microsoft Azure EXPANSIA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status More ❯

Security Clearance: TS/SCI with the ability to obtain a CI Poly • Platform Expertise: In-depth knowledge of major cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). • DevOps: Understanding of DevOps principles and practices, including continuous integration and continuous delivery (CI/CD). • Programming & Scripting: Proficiency in coding and More ❯

landscape. Relevant certifications (e.g. CISSP, certifications from Microsoft, ISC2, ISACA, SANS, GIAC, EC-Council etc. or equivalent). Exposure to/Understanding of DevOps tools and repositories (e.g. Git, Azure Dev Ops, Kubernetes, Docker, Jenkins, Ansible etc.). Role based access control (RBAC) design. Connect to your business - Technology and Transformation Distinctive thinking, deep expertise, innovation and collaborative working. More ❯

Consultant with strong technical expertise, in particular with Databricks experience and client-facing experience. The ideal candidate will lead the delivery of modern data solutions across multiple projects, leveraging Azure and Databricks technologies in an agile environment. Core Requirements Cloud & Data Engineering: Azure, Databricks, Apache Spark, Azure Data Factory, Delta Lake Programming & Querying: Python, SQL (complex, high … performance queries) Data Governance & DevOps: Unity Catalog/Purview, Terraform, Azure DevOps Consulting: Requirements gathering, stakeholder engagement, agile delivery Desirable Experience Power BI/Tableau Azure Functions (Python/C#) Streaming (Event Hubs, Stream Analytics) CI/CD, SDLC, ETL best practices Please only apply if you have full right to work in the UK. This is remote More ❯

a fast-growing software company in the Data & Analytics space. With around 90 employees, theyre scaling their cloud infrastructure and DevOps capabilities, and are now looking for a Senior Azure DevOps Engineer to join their team, which we have built for them over the last 2 years. This is a hands-on role with real ownership across cloud operations … automation, and deployment pipelines. Key Responsibilities Take ownership of the Azure cloud environment, ensuring it runs securely, efficiently, and reliably Work closely with application and engineering teams to support seamless cloud integration Use tools like Azure, Kubernetes (AKS), Terraform, and Azure DevOps to build and manage infrastructure Deploy and manage containerized applications in AKS, ensuring theyre scalable … and resilient Build and maintain CI/CD pipelines using Azure DevOps, automating testing, builds, and deployments Implement secure secrets management workflows and cloud security best practices Develop reusable Terraform modules to support consistent infrastructure as code Write scripts and automation tools using PowerShell, Bash, and Azure CLI to streamline operations Collaborate within Agile teams, contributing to planning More ❯

This role is responsible for designing, implementing, and maintaining scalable cloud infrastructure solutions in support of multiple DoD Programs. The ideal candidate will have strong hands-on experience with Azure cloud platforms with a basic understanding of AWS as well. Candidate should have a strong background in infrastructure as code, and DevOps practices. Candidates will design and deploy secure … a huge plus. Minimum job requirements include: Must Haves: • Active TS/SCI security clearance • Associate's or Bachelor's Degree and 5+ years of experience deploying and maintaining Azure environments/resources (degree can be substituted with two additional years of experience) • Hands-on experience with Azure architecting tools and building architecture diagrams • Experience with various Azure services, including virtual machines, storage, networking, and databases • Strong experience with Terraform, ARM, or Bicep for infrastructure as code • Experience using Linux operating systems • Strong understanding of Azure landing zones and managing authorized instances • Knowledge of Azure networking concepts, including virtual networks, subnets, and network security groups • Ability to work in an Agile, team-based environment using More ❯

Zolon is seeking a Cloud Infrastructure & Solutions Engineer to support a federal IT operations and modernization program. The ideal candidate will bring strong hands-on experience in AWS and Azure, DevOps automation, and infrastructure design. This hybrid role involves close collaboration with engineering, operations, and security teams to deliver reliable and scalable technical solutions. Candidates with prior experience supporting … federal contracts are strongly preferred. Key Responsibilities: Design, implement, and maintain secure, scalable infrastructure in AWS and Azure Automate provisioning and configuration using tools such as Terraform, Ansible, and scripting (Python, Bash, or PowerShell) Evaluate and recommend appropriate database management systems to meet application requirements Define file organization, indexing methods, and data security strategies Support CI/CD pipelines … degree in Computer Science, Engineering, or a related field 8+ years of IT experience, including 5+ years focused on cloud infrastructure and DevOps Hands-on experience with AWS and Azure services (compute, storage, networking, IAM) Strong scripting skills in Python, Bash, or PowerShell Proficiency with Infrastructure as Code (Terraform, Ansible) Experience managing CI/CD pipelines and automated deployments More ❯

Engineer-£400PD-Remote We are seeking a highly skilled Cloud Platform Engineer with hands-on experience managing and scaling Databricks from a platform perspective, along with deep knowledge of Azure services, Terraform, and CI/CD pipelines using GitHub Actions. You will be part of a team responsible for designing, implementing, and maintaining scalable, secure, and cost-effective cloud … Terraform to enable repeatable and scalable cloud environments in Azure. Implement and maintain CI/CD pipelines using GitHub Actions to automate deployment and testing processes. Manage and optimize Azure Private Link configurations to ensure secure connectivity between services. Define and enforce Azure Policies and role-based access control ( RBAC ) for governance and compliance. Implement and monitor Azure Security Center, defender policies, and other security controls across cloud resources. Monitor and manage cloud costs using Azure Cost Management, ensuring resources are optimized and within budget. Architect and support Databricks workspaces, focusing on Unity Catalog, data access control, workspace deployment, and platform reliability. Collaborate with data engineering and analytics teams to ensure Databricks is performant, secure, and More ❯

UK company as a Senior Data Engineer and play a key role in a major data transformation project. You will have the opportunity to design and deliver a new Azure-based data platform, modernising the organisation's data management and reporting processes. This hands-on role offers architectural influence and is ideal for an experienced engineer with a strong … background in setting up new environments, creating data pipelines, and enabling self-service analytics through Power BI. Key Responsibilities: Design, build, and maintain Azure data pipelines using Azure Data Factory, Synapse, or Fabric. Implement a data lakehouse architecture (Bronze/Silver/Gold) and establish best-practise ETL/ELT frameworks. Ingest and integrate data from multiple core … solutions. Monitor, troubleshoot, and optimise data pipelines for performance and cost efficiency. Define reusable components, standards, and documentation to support long-term scalability. Essential Skills & Experience: Proven experience building Azure data platforms end-to-end (Data Factory, Synapse, Fabric, or Databricks). Strong SQL development and data modelling capability. Experience integrating ERP or legacy systems into cloud data platforms. More ❯

We are seeking a Cloud Infrastructure Engineer (Azure & AWS) to work on our W2 supporting our Austin client's Data Center Operations - AI & Application Platform for Excellence (APEX), hub and spoke, cloud infrastructure on Azure and AWS flavors. You will need to live in Texas, preferably within one hour of Austin. This position will join our clients APEX … cloud providers. Required: Minimum of 6+ years of experience Knowledge and experience in solutioning, configuring, integrating and securing cloud networking and cloud service models (IaaS, PaaS, SaaS, Serverless) in Azure and/or AWS. Experience and understanding of cloud computing DevOps principles Continuous Integration/Continuous Design (CI/CD). Experience with Containerization, deploying and configuring microservices. Kubernetes … as-code (IaC). Experience with cloud and performance monitoring, auditing logging, and operations tools such as: Sysdig Secure (CNAPP), Dynatrace, Cloud native toolsets (AWS CloudWatch, GCP Cloud Operations, Azure Monitor, OCI Monitoring, etc.). Experience and knowledge of cloud recovery strategies for storage replication, automated recovery plans and protecting data for cloud disaster recovery. Knowledge and/or More ❯

cloud. This hybrid role includes 2-3 remote workdays per week, with all on-site work conducted at a Fort Meade facility. The Cloud Engineer will use tools like Azure, Jenkins, GitLab, Kubernetes, and Docker to automate workflows, enhance security, and ensure smooth, reliable operations. Ideal candidates enjoy problem-solving, refining processes, and staying current with cloud best practices. … higher IS REQUIRED FOR THIS ROLE • Bachelor's degree in a technical or related field • 5+ years in DevSecOps, including CI/CD and cloud automation • 3+ years with Azure, Kubernetes, and cloud security • Hands-on experience with Jenkins, Terraform, Ansible, Docker, Helm, Nexus • Strong communication skills across technical and non-technical teams • Agile experience (Scrum/Kanban) • Preferred … not required): Azure/AWS certifications, and DoD Azure experience Compensation of the Cloud Engineer Includes: • Salary Range: $150,000.00 - $190,000.00 annually (based on experience and certifications) • Comprehensive Benefits: Medical, Dental, Vision; 401k, PTO, Holidays, and sick leave as required by law This job opens for applications on 9/17/2025. Applications for this job More ❯

UK company as a Senior Data Engineer and play a key role in a major data transformation project. You will have the opportunity to design and deliver a new Azure-based data platform, modernising the organisation's data management and reporting processes. This hands-on role offers architectural influence and is ideal for an experienced engineer with a strong … background in setting up new environments, creating data pipelines, and enabling self-service analytics through Power BI. Key Responsibilities: Design, build, and maintain Azure data pipelines using Azure Data Factory, Synapse, or Fabric. Implement a data lakehouse architecture (Bronze/Silver/Gold) and establish best-practise ETL/ELT frameworks. Ingest and integrate data from multiple core … solutions. Monitor, troubleshoot, and optimise data pipelines for performance and cost efficiency. Define reusable components, standards, and documentation to support long-term scalability. Essential Skills & Experience: Proven experience building Azure data platforms end-to-end (Data Factory, Synapse, Fabric, or Databricks). Strong SQL development and data modelling capability. Experience integrating ERP or legacy systems into cloud data platforms. More ❯

to ensure software meets business needs. Collaborate across teams to align software solutions with business objectives. Maintain and optimise systems across multiple platforms. Manage and maintain code repositories in Azure DevOps. Required Skills & Qualifications: Proven experience in commercial software development. Strong proficiency in Angular , SQL , and .NET technologies. Experience with Azure DevOps/Git for source control. A … and collaborative approach, thriving in a fast-paced environment with multiple stakeholders. Experience in managing and leading a team Nice-to-Have Skills: Experience developing cloud-based solutions in Azure (Azure SQL, APIs, Logic Apps, Websites, etc.) Knowledge of NoSQL databases, such as MongoDB. Familiarity with Docker for containerisation. Practical experience in deploying and managing applications using Azure More ❯

please do get in touch. General Design Modelling, ideally with Archimate (BizzDesign preferred) Requirements Modelling/Capture techniques such as User Stories and Use Cases. AWS General/Usage Azure Cloud General/Usage VMWare General/Usage Technical Leadership & Design DevSecOps tooling and practices Application Security Testing SAFe (scaled agile) Processes Data Integration Focused Data Pipeline Orchestration, and … Apache Airflow, Apark, NiFi, Airbyte and Singer. Message Brokers, streaming data processors, such as Apache Kafka Object Storage, such as S3, MinIO, LakeFS CI/CD Pipeline, Integration, ideally Azure DevOps Python Scripting API Management Solutions Automation Key Skills Experience in the Design/Configuration/Usage in a number of the following - Low-code Platforms, such as Power … Test tooling, ideally Selenium/Robot Framework DevSecOps Key Skills Experience in the Design/Configuration/Usage in a number of the following - CI/CD Pipelines, ideally Azure DevOps IaC code tooling, including Terraform, Ansible, Harbor SCA/IAST/DAST tooling, e.g. Black Duck, Coverity, Codesight, JFrog, Snyk Automated Test tooling, ideally Selenium/Robot Framework More ❯

document, and optimise system performance Requirements - 3+ years commercial development experience - Strong knowledge of C#, .NET Core, and ASP.NET Core MVC - Experience with Entity Framework Core, SQL Server/Azure SQL, Azure Services, Azure DevOps - Frontend skills with HTML5, CSS3, and JavaScript - Experience with API integrations and version control (GitHub/Bitbucket) - Degree in Computer Science or More ❯

business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. … methods and their practical application. Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business … objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong More ❯

business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. … methods and their practical application. Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business … objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong More ❯

business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. … methods and their practical application. Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business … objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong More ❯