1,451 to 1,475 of 7,134 Azure Jobs

Strong candidates are likely to bring most (but not all) of the following: Experience in software engineering, with deep expertise in C# and .NET. Experience with Linux, Python, and Azure DevOps. A proven track record in start-ups/scale-ups would be advantageous Excellent communication skills and the ability to influence technical decisions. Experience or passion for robotics More ❯

communication and problem-solving skills. Good to have Experience with Magnolia CMS or Cloudinary . Background in solution design, architecture, or pre-sales support. Exposure to cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD tools and DevOps practices. Why join us Competitive salary and benefits package. Flexible working with hybrid options. Private health insurance and More ❯

communication and problem-solving skills. Good to have Experience with Magnolia CMS or Cloudinary . Background in solution design, architecture, or pre-sales support. Exposure to cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD tools and DevOps practices. Why join us Competitive salary and benefits package. Flexible working with hybrid options. Private health insurance and More ❯

re looking for someone with: Minimum 3 years' experience in a database developer/data engineer role Proficiency in SQL and Python Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with data pipeline tools (e.g., SSIS, Spark) Strong grasp of data warehousing and data modelling principles Experience undertaking development work in C# Ability to create and troubleshoot SSRS More ❯

and related tooling. Collaborate with engineering, security, and product teams to drive end to end reliability. Qualifications Experience 6+ years of DevOps/SRE experience in cloud environments (AWS, Azure, or GCP). Expertise in Kubernetes, Docker, Helm, and microservices architectures. Strong scripting skills in Python, Bash, or Typescript. Proven track record of automating build, test, and deployment workflows. More ❯

containerization technologies such as Docker and Kubernetes Bachelor's degree in Computer Science or related field Strong communication and problem-solving skills Experience with DevOps methodology Certifications in AWS, Azure, and/or Google Cloud Platform are a plus MAGNUS Management Group offers a competitive, comprehensive benefits package, which includes: 3 Weeks Paid Time Off 10 Federal Holidays Medical More ❯

such as Python and R. Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Experience with cloud-based AI/ML platforms and tools (e.g., AWS, Azure, Google Cloud). Experience with leveraging Large Language Models (LLMs) such as GPT, or similar frameworks for tasks like natural language processing (NLP), text generation, summarization, or conversational AI. More ❯

with a mix of the following: Proven track record leading platform teams in high-availability environments Strong understanding of hybrid platforms (VMware + AWS is ideal, but OK with Azure/GCP) Experience with CI/CD tooling and pipelines (Jenkins ideal) Familiarity with infrastructure-as-code tools (Terraform, Ansible) Hands-on experience with containerisation (Docker, Kubernetes, Helm) Scripting More ❯

control tools like Git and working in agile delivery models. Strong understanding of CI/CD practices and tools including Jenkins, Bamboo, or similar. Familiarity with cloud services (AWS, Azure) and containerisation (Docker, Kubernetes). Excellent problem-solving skills, with the creativity to adapt to changing requirements. Want to hear more? Message me anytime. Linked In: Ciaran Cleland Role More ❯

in ETL, SQL, Python, and data modeling. Experience with Army/DoD systems such as GFEBS, GCSS-Army, LMP, or Vantage highly desired. Familiarity with Agile/DevOps workflows (Azure DevOps, Jira, Git). Active DoD Secret clearance required (TS/SCI preferred). Why Join Us? Contribute directly to mission-critical Army analytics. Work in a fast-paced More ❯

production environments. Proficiency in AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with cloud-based AI platforms (e.g., AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning). Experience with data management and processing tools (e.g., Hadoop, Spark, SQL). Proficiency in programming languages such as Python and Java. Experience with DevOps practices and More ❯

Ansible, etc.). 2. Hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding of networking, storage, and virtualization concepts. 7. Experience with More ❯

REQUIRED QUALIFICATIONS: Bachelor's or Master's degree in Computer Science, Information Security, Software Engineering, or a related field. Strong experience with IAM technologies and platforms like Okta, SailPoint, Azure Active Directory, AWS IAM, or similar. Proficiency in programming languages relevant to IAM development, such as Java, Python, or PowerShell. In-depth knowledge of integrating IAM solutions in complex More ❯

Ansible, etc.). 2. Hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding of networking, storage, and virtualization concepts. 7. Experience with More ❯

integrating PAM solutions with Active Directory and other identity management systems. • Familiarity with scripting languages (PowerShell, Python) for automation and integration tasks. • Experience with cloud platforms like AWS or Azure and containerization technologies is a plus. • Relevant certifications such as Delinea Certified Professional, CISSP, or Security+ are highly desirable. • Excellent problem-solving, communication, and collaboration skills. More ❯

technologies and modern frameworks (e.g. TypeScript, JavaScript, React) • Building CI/CD pipelines with tools such as GitLab to automate quality and security checks • Deploying software to public (AWS, Azure) and private cloud environments • Contributing to architecture decisions and software design reviews • Engaging directly with stakeholders to gather requirements and demonstrate new features What We’re Looking For • Proven More ❯

troubleshooting, critical thinking, and problem-solving skills • Excellent verbal and written communication skills • Ability to work independently and in a collaborative, fast-paced setting Preferred Qualifications: • Experience with AWS, Azure, Google Cloud, or Oracle Cloud environments • Proficiency in scripting languages such as Python, PowerShell, or Bash • Familiarity with cloud solution architectures and DevOps tools Why Join Us? • Meaningful work More ❯

technologies and modern frameworks (e.g. TypeScript, JavaScript, React) • Building CI/CD pipelines with tools such as GitLab to automate quality and security checks • Deploying software to public (AWS, Azure) and private cloud environments • Contributing to architecture decisions and software design reviews • Engaging directly with stakeholders to gather requirements and demonstrate new features What We’re Looking For • Proven More ❯

technologies and modern frameworks (e.g. TypeScript, JavaScript, React) • Building CI/CD pipelines with tools such as GitLab to automate quality and security checks • Deploying software to public (AWS, Azure) and private cloud environments • Contributing to architecture decisions and software design reviews • Engaging directly with stakeholders to gather requirements and demonstrate new features What We’re Looking For • Proven More ❯

such as RHEL, CentOS, Ubuntu, and Debian. Knowledge of Linux systems processes, file systems, networking and offline repository configurations • Familiarity with cloud-native technologies such as cloud providers (AWS, Azure, GCP), container registries (Docker Hub, Google Container Registry), and cloud-based logging and monitoring tools (e.g., ELK Stack, Prometheus) • Experience with automation tools such as SaltStack, Puppet, or Chef More ❯

years of experience in full-stack software engineering. Expertise in designing and developing scalable web applications and distributed systems. Proficient in software architecture, containerization, and cloud platforms including AWS, Azure, and GCP. Experienced in leading cross-functional teams, mentoring engineers, and fostering a strong engineering culture. Enthusiastic about DevOps practices and driving continuous process improvement. Coming from a consultancy More ❯

years of experience in full-stack software engineering. Expertise in designing and developing scalable web applications and distributed systems. Proficient in software architecture, containerization, and cloud platforms including AWS, Azure, and GCP. Experienced in leading cross-functional teams, mentoring engineers, and fostering a strong engineering culture. Enthusiastic about DevOps practices and driving continuous process improvement. Coming from a consultancy More ❯

stack software development (Python backend, JavaScript frontend). Strong background in backend infrastructure - SQL/NoSQL, event stores, cloud storage. Proven experience in architecting secure, scalable systems in AWS, Azure, or GCP. Experience with CI/CD pipelines, agile delivery, and technical leadership. Excellent communication skills and ability to work with senior stakeholders. What's on offer: Salary up More ❯

such as RHEL, CentOS, Ubuntu, and Debian. Knowledge of Linux systems processes, file systems, networking and offline repository configurations • Familiarity with cloud-native technologies such as cloud providers (AWS, Azure, GCP), container registries (Docker Hub, Google Container Registry), and cloud-based logging and monitoring tools (e.g., ELK Stack, Prometheus) • Experience with automation tools such as SaltStack, Puppet, or Chef More ❯

Experience with data analysis tools and frameworks (e.g., Jupyter, Pandas, Scikit-learn, Power BI, Tableau, Palantir). • Experience with cloud-based AI/ML platforms and tools (e.g., AWS, Azure, Google Cloud). Experience with leveraging Large Language Models (LLMs) such as GPT, or similar frameworks for tasks like natural language processing (NLP), text generation, summarization, or conversational AI. More ❯