2,526 to 2,550 of 5,077 Microsoft Azure Jobs

communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and More ❯

communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and More ❯

Strong skills in data preprocessing, data cleaning, and feature engineering.Experience with Cloud Platforms: Familiarity with cloud-based machine learning tools and platforms such as AWS, Google Cloud AI, or Microsoft Azure.Software Development Practices: Understanding of version control systems (Git), testing, and software development lifecycle.Problem-Solving Skills: Ability to troubleshoot and improve model performance in production environments. Equal Opportunity Employer More ❯

S/4HANA, SAP ERP, and integration with non-SAP systems. Strong understanding of enterprise architecture frameworks (e.g., TOGAF). Experience with SAP BTP, SAP HANA, and cloud platforms (Azure, AWS, or GCP). Proficiency in system integration, middleware, and API management. Solid grasp of data security, compliance (e.g., GDPR), and performance optimization. Excellent communication and stakeholder management skills. More ❯

associate's with 10 years, bachelor's with 8 years, master's with 6 years, or PhD with 4 years Strong experience in enterprise system design, cloud computing (AWS, Azure, GCP), and data-driven infrastructure Proficiency with architecture modeling tools (e.g., ArchiMate, Sparx EA, Visio) Deep understanding of system interoperability, security architecture, and service-oriented design Strong communication and More ❯

distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms. • Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS). • Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs More ❯

serverless and microservices architecture patterns for flexibility and scalability. Design and integrate RESTful APIs for internal and external consumers. Engineer and manage cloud infrastructure solutions (AWS and/or Azure). Develop solutions for self-service cloud provisioning and management (e.g., service catalogs, workflows) integrated with data lake/warehouse environments. Communicate technical solutions and project updates to senior More ❯

development skills You also have experience with TypeScript, Angular or React You have a good understanding of Docker for Containerisation You have a good knowledge of cloud based systems (Azure/AWS) You have strong analysis and problem solving skills You're collaborative with great communication skills What's in it for you: As a Software Developer/Engineer More ❯

issues MUST BE ELIGIBLE FOR DV CLEARANCE Desirable Skills & Technologies Deep understanding of virtualisation technologies Experience with installation, upgrading, and support of: Windows Server 2016/2019 AWS and Azure cloud platforms Familiarity with Red Hat products: Satellite 6, OpenShift 3/4, RHEL/CentOS 6/7/8, RHEL Atomic/CoreOS Active Directory expertise: Object More ❯

Demonstrated experience in designing and deploying AWS cloud infrastructure solutions at scale, supporting multiple classification domains (e.g., IL5 to IL6+) Comprehensive hands-on experience with leading cloud platforms (AWS, Azure, or Google Cloud) and core services such as EC2, S3, Lambda, and EBS Extensive experience with Infrastructure-as-Code (IaC) tools, including Terraform, CloudFormation, or Ansible, to automate cloud More ❯

development skills You also have experience with TypeScript, Angular or React You have a good understanding of Docker for Containerisation You have a good knowledge of cloud based systems (Azure/AWS) You have strong analysis and problem solving skills You're collaborative with great communication skills What's in it for you: As a Software Developer/Engineer More ❯

methodologies, including Docker, Kubernetes, CI servers,Git, Artifactory, and build tools. Strong experience building software pipelines using diverse DevOps tools. Hands-on experience with Linux and cloud platforms (AWS, Azure, or GCP) - mandatory. Familiarity with software architecture design, scalable product development, and on-premise/cloud hybrid environments. Experience delivering POVs and technical demonstrations to diverse stakeholders, fromtechnical teams More ❯

offerings Qualifications: • Must possess an active TS/SCI clearance (can hold up to TS/SCI FSP) • Strong programming skills in Python • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and More ❯

project portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or More ❯

3D Development. Role Requirements Minimum 5 years' experience in C# .NET JavaScript/TypeScript Angular (or React/Vue etc) NoSQL (DynamoDB/MongoDB etc) Desirables: Serverless AWS (or Azure) Unit Testing experience The Company This company are the largest player within their niche sector and continue to push forward. They have received large investment into their tech team More ❯

for someone with strong technical expertise and a passion for solving complex business problems. You'll bring: Strong experience with SQL, SQL Server DB, Python, and PySpark Proficiency in Azure Data Factory, Databricks is a must, and Cloudsmith Background in data warehousing and data engineering Solid project management capabilities Outstanding communication skills, translating technical concepts into clear business value More ❯

growth initiatives What makes you a great fit Deep programming expertise in Java, Python, C# or other OO languages Proven record of delivering complex solutions in the cloud ( AWS, Azure ) Strong background in designing scalable, performant systems Exposure to fast-paced environments — consulting, financial services or big tech Ability to balance big-picture thinking with hands-on engineering leadership More ❯

show where you have applied these skills in a commercial setting across various different projects. Worked as part of an agile development team alongside other Software developers Experience with Azure DevOps and a firm approach to software testing (unit, end-to-end, integration) Progression Progression isn’t a one size fits all approach, to one person this might mean More ❯

demanding Data & Analytics) environments. Proficiency in Python, PySpark, or other relevant programming languages. Understanding of data modelling, ETL processes, and data pipeline design. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing tools. Exposure to BI tools such as Power BI, Tableau, or Qlik. Knowledge of version control systems (e.g., Git) and collaborative development workflows. Experience or More ❯

equivalent ITIL framework experience). Technical expertise in: Databases & design: SQL Server Monitoring tools: Grafana, Prometheus, Victoria Metrics Scheduling tools: Control-M Operating systems: Windows, Linux Containerisation & cloud: Kubernetes, Azure Collaboration tools: JIRA, Git, Bitbucket This is a fantastic opportunity to work on impactful projects with a financial services firm. If you have the required experience, please apply. Randstad More ❯

growth initiatives What makes you a great fit Deep programming expertise in Java, Python, C# or other OO languages Proven record of delivering complex solutions in the cloud ( AWS, Azure ) Strong background in designing scalable, performant systems Exposure to fast-paced environments — consulting, financial services or big tech Ability to balance big-picture thinking with hands-on engineering leadership More ❯

QoS, and application flow analysis. • Familiarity with Cisco, Juniper, Palo Alto, and other enterprise-grade networking solutions. • Strong understanding of LAN/WAN architectures, VPNs, and cloud networking (AWS, Azure Gov, etc.). • Experience working in government-regulated environments with an understanding of cybersecurity frameworks. Preferred Qualifications: • LiveAction product certifications (e.g., LiveAction Certified Professional). • Experience integrating LiveAction with More ❯

in DevOps, site reliability engineering, or blockchain infrastructure administration Familiarity with Forta architecture, scan nodes, and agent deployment Experience with Linux systems, Docker, and cloud services (e.g., AWS, GCP, Azure) Proficiency with scripting languages such as Bash, Python, or Node.js Comfortable with Git, CI/CD pipelines, and monitoring tools (e.g., Prometheus, Grafana) Understanding of Ethereum and EVM-compatible More ❯

the team and department, enabling collaborative work on the same codebase. Regularly update your team and colleagues on your work through agile ceremonies and software development lifecycle tools (e.g., Azure DevOps, Jira). Identify and implement improvements in ways of working, processes, or adoption of new technologies. Proactively identify and mitigate risks associated with the software. Review code authored More ❯

Transformation: • Design, implement, and champion mature Salesforce DevOps practices. • Establish continuous integration, continuous delivery (CI/CD), automated testing, and release management. • Optimize tooling (e.g., Salesforce DX, Copado, Gearset, Azure DevOps, Jenkins, GitLab CI/CD). • Enforce development standards, code quality guidelines, and branching strategies. Organizational Rebuild & Leadership: • Take ownership of, rebuild, and strategically direct the Salesforce development More ❯