1,201 to 1,225 of 6,272 Permanent Microsoft-Azure Jobs

systems Experience with CI/CD pipelines, automated testing, and infrastructure as code (e.g. Terraform) Hands-on knowledge of containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP or Azure) Skilled in cross-functional collaboration and stakeholder communication Strong analytical skills with a proactive, problem-solving mindset Experience in high-availability systems, cybersecurity frameworks (ISO, SOC), or Elixir development More ❯

WASM and MSSQL/T-SQL Experience with Infor ERP Systems (Syteline/Visual) Familiarity with manufacturing environments (aerospace titanium a plus) Familiarity with CI/CD process (Azure DevOps a plus) Schedule/Expectations Mon - Fri, 8 hr. shifts. Occasional overtime, after hours, and weekend work required. On Call duties - 2 week rotation per 2 month period. More ❯

WASM and MSSQL/T-SQL Experience with Infor ERP Systems (Syteline/Visual) Familiarity with manufacturing environments (aerospace titanium a plus) Familiarity with CI/CD process (Azure DevOps a plus) Schedule/Expectations Mon - Fri, 8 hr. shifts. Occasional overtime, after hours, and weekend work required. On Call duties - 2 week rotation per 2 month period. More ❯

WASM and MSSQL/T-SQL Experience with Infor ERP Systems (Syteline/Visual) Familiarity with manufacturing environments (aerospace titanium a plus) Familiarity with CI/CD process (Azure DevOps a plus) Schedule/Expectations Mon - Fri, 8 hr. shifts. Occasional overtime, after hours, and weekend work required. On Call duties - 2 week rotation per 2 month period. More ❯

WASM and MSSQL/T-SQL Experience with Infor ERP Systems (Syteline/Visual) Familiarity with manufacturing environments (aerospace titanium a plus) Familiarity with CI/CD process (Azure DevOps a plus) Schedule/Expectations Mon - Fri, 8 hr. shifts. Occasional overtime, after hours, and weekend work required. On Call duties - 2 week rotation per 2 month period. More ❯

WASM and MSSQL/T-SQL Experience with Infor ERP Systems (Syteline/Visual) Familiarity with manufacturing environments (aerospace titanium a plus) Familiarity with CI/CD process (Azure DevOps a plus) Schedule/Expectations Mon - Fri, 8 hr. shifts. Occasional overtime, after hours, and weekend work required. On Call duties - 2 week rotation per 2 month period. More ❯

class projects) supporting government, law enforcement, or secure environments. • Knowledge of federal security or compliance frameworks • Familiarity with Docker or other containerization tools. • Experience with cloud environments (AWS, Azure, or GCP). Clearance: Applicants must possess Secret or higher clearance. CDS is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to More ❯

Power Pages, Power Apps, Flows.Development management within a team using .net, C# in agile environmentExperience in documenting defects/enhancements and implementing solutions.Working with agile development methodology using Azure DevOps.Experience in continuous integration/continuous development (CI/CD) pipelines.Demonstrable experience of hands-on data migration/integration using 3rd party systems or similar technologies.Knowledge of Audit requirements More ❯

with Databricks and related tools and technologies. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Skills: Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of data governance and security best practices. Experience with ETL processes and tools. What BLN24 brings More ❯

2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing e.g. AWS, Azure Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new ideas and ML concepts to the rest of the team Technologies We Use More ❯

2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing e.g. AWS, Azure Enthusiasm for complex problem solving Strong technical communication skills, including the ability to clearly disseminate new ideas and ML concepts to the rest of the team Technologies We Use More ❯

Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with excellent career growth More ❯

engineering team working on a large, complex programme for a National Security Customer, building a bespoke software solution. Responsibilities include: Designing, implementing, and maintaining cloud infrastructure on AWS, Azure, and private clouds. Deploying, scaling, and managing Kubernetes clusters; familiarity with Docker and Helm is a plus. Developing automated tools and processes for building, deployment, monitoring, testing, and maintenance More ❯

systems for real-time data processing and analysis Experience with database design and management using SQL and NoSQL databases Familiarity with cloud infrastructure services like AWS, GCP, or Azure is a plus Experience with message brokers such as Kafka or RabbitMQ Strong analytical and problem-solving skills Excellent communication skills and ability to work well in a team More ❯

Apps, Flows. Development management within a team using .net, C# in agile environment Experience in documenting defects/enhancements and implementing solutions. Working with agile development methodology using Azure DevOps. Experience in continuous integration/continuous development (CI/CD) pipelines. Demonstrable experience of hands-on data migration/integration using 3rd party systems or similar technologies. Knowledge More ❯

machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark, and Kafka Cloud computing expertise across AWS, Azure, and other Experience in designing and implementing real-time data processing solutions Strong understanding of AI/ML applications in systems and software Excellent problem-solving and communication skills More ❯

in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one) such as AWS, GCP and Azure Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Exposure to life sciences, genomics, or More ❯

AI • ServiceNow • Workplace Automation • Modern Field Services • Minimum 3 years of experience with Modern Endpoint Engineering (SCCM, Intune), Unified Communication and Collaborations, M365 (Teams, SharePoint, Email, Endpoint security), Azure Virtual Desktop, RPA. Preferred Skills: • Architecture level understanding AI, AI Agents. • Experience in deal structuring, pricing, and contracting. • Ability to build and sell transformative workplace solutions • Strong understanding of More ❯

Oracle. Key responsibilities include: Develop, maintain, and improve CI/CD pipelines using tools such as GitHub Actions, Jenkins, GitLab CI, or similar. Manage cloud infrastructure (OCI, AWS, Azure, or GCP) using Infrastructure as Code tools like Terraform or Serverless Functions. Monitor system health and performance using tools like Prometheus, Grafana, or Datadog or NewRelic. Collaborate closely with More ❯

work collaboratively in a team environment, providing guidance and mentorship to junior network engineers. Desirable Skills: • Experience with cloud networking and integration of on-premise networks with AWS, Azure, or Google Cloud environments. • Familiarity with SD-WAN solutions and network automation tools (e.g., Ansible, Terraform). • Knowledge of ITIL or other IT service management frameworks. Certifications: Cisco Certified More ❯

. Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services (e.g., AWS, GCP, Azure) for model deployment and data management. Strong verbal and written communication skills for both technical and non-technical audiences. A strong team player with the ability to collaborate effectively More ❯

in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one) such as AWS, GCP and Azure Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Exposure to life sciences, genomics, or More ❯

Rust, Go, Python). Experience in enterprise and solution architecture, cloud and on-premise networking. Proven experience in senior technology roles within large enterprise public cloud environments (AWS, Azure, GCP). Ability to drive technological and cultural change, promoting automation and platform as a foundation for innovation. Strong leadership, communication, negotiation, and team-building skills, with experience managing More ❯

systems. Strong communication skills and ability to explain complex technical concepts. Solid experience in key technologies (Kotlin preferred, Java, JS). Experience with cloud platforms (AWS, GCP, or Azure) and working with APIs. Proven ability to lead complex technical projects from conception to deployment. Strong understanding of system design, software architecture, and design patterns. Preferred (but not essential More ❯

systems. Strong communication skills and ability to explain complex technical concepts. Solid experience in key technologies (Kotlin preferred, Java, JS). Experience with cloud platforms (AWS, GCP, or Azure) and working with APIs. Proven ability to lead complex technical projects from conception to deployment. Strong understanding of system design, software architecture, and design patterns. Preferred (but not essential More ❯