601 to 625 of 3,366 Azure Jobs

tools - GitHub, GitLab etc Experience using Docker, Docker Compose Experience with CI/CD (Gitlab, GitHub, Jenkins) Experience with cloud technologies such AWS or Azure Experience working in an agile team environment Desirable Familiarity using Infrastructure as Code tools such as Terraform Familiarity building and integrating with NoSQL database ...

challenges across highly secure and technically demanding environments Technology exposure Typical environments include: • Python and SQL • Spark, Databricks and distributed data processing platforms • AWS, Azure and Google Cloud • Modern data lake, lakehouse and warehouse architectures Who we’re keen to speak with Active DV clearance is essential. ...

Computer Science, Information Technology, Information Security or Systems Engineering qualification, or equivalent related qualifications or experience. Experience working in a Cloud Infrastructure Environment; AWS, Azure, GCP. Experience with managing CEPH Storage or Linux storage environments. NB: Active SC/DV level vetting would be advantageous due to the nature ...

Excellent communication skills - able to influence without authority Nice to Have Experience in an Agile/Scrum environment Familiarity with cloud infrastructure (AWS, GCP, Azure) Experience scaling QA in a fast-growing team ISTQB or equivalent certification Experience in Python and Swift ...

Software Developer: Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code ...

experience Solid knowledge of SQL/PostgreSQL Experience with JavaScript, HTML, CSS and modern front-end frameworks Familiarity with Git, CI/CD pipelines (Azure DevOps/Jenkins) Experience working in Agile delivery environments What's on offer: Competitive salary, strong pension, generous holiday allowance and hybrid working, alongside ...

Software Developer: Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code ...

solve complex technical challenges. Technology exposure Typical environments include: Python, SQL and modern data engineering tooling Spark, Databricks and distributed data platforms AWS, Azure and Google Cloud Modern data lake and data warehouse architectures Who we’re keen to speak with Active DV clearance is essential. We’re interested ...

Software Developer: Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code ...

Software Developer: Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code ...

development experience (Python, PowerShell, C# or Java), alongside exposure to monitoring and observability tools (e.g. ELK, Prometheus, Grafana). Experience across cloud environments (Azure/AWS), as well as Windows and Linux systems, is highly desirable. To secure the most relevant hire, my client is prepared to offer highly ...

Hybrid working Flexible company culture Benefits pack First class skill up and career progression opportunities What you need Strong cloud engineering experience (AWS preferred; Azure also valuable) Experience with tools such as: GitLab, GitHub Actions, Jenkins Infrastructure as Code Terraform preferred. Configuration Management: Ansible preferred, Puppet or Chef beneficial ...

Collaborate closely with engineering, analytics, and risk teams Continuously improve platform reliability, security, and performance Tech Stack Infrastructure as Code: Terraform Cloud Platforms: AWS, Azure Programming Languages: Python, Rust Databases: Postgres, ClickHouse Required Skills & Experience Strong analytical background (typically a degree in Mathematics, Physics, Computer Science, Engineering ...

transform data Integrate systems via EventBridge, SNS, SQS, and API Gateway Implement Infrastructure as Code (CDK or SAM) and CI/CD via Azure DevOps Collaborate with technical and delivery teams to ensure data integrity and reliability ✅ What We’re Looking For Strong experience with AWS Serverless (Lambda, Step ...

databases (SQL/NoSQL). Solid understanding of REST APIs, authentication/authorization (JWT, OAuth), and security best practices. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is a plus. Strong problem-solving skills and ability to handle complex technical challenges. ...

have or be eligible for SC clearance. Role Highlights Maintain, enhance and deploy production applications using Python, JavaScript/TypeScript, and cloud platforms (AWS, Azure, or GCP) Develop new features, improvements, and integrations based on client feedback, service metrics, or evolving requirements Troubleshoot, debug, and resolve live system issues ...

using JavaScript or TypeScript with React Work with modern frameworks and tooling such as Next.js and Vite Deploy and manage applications within AWS or Azure cloud environments Use Docker and Docker Compose to support containerised development Contribute to and maintain CI/CD pipelines using GitHub Actions, GitLab ...

analysis (e.g., SonarQube). Clear communication skills with the ability to explain technical concepts to varied audiences. Nice to Have Cloud experience: AWS/Azure/GCP . Containerisation: Docker, Kubernetes . Distributed processing: Apache Spark/Flink . Please apply within for further details - Matthew Holmes, Harvey Nash ...

within the organization. Mandatory Skills: Strong expertise in Application Architecture, including design patterns, frameworks, and methodologies. Proficient in cloud technologies and services (e.g., AWS, Azure, Google Cloud). Experience with microservices architecture and API design. Solid understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem solving skills ...

Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps ...

Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps ...

Experience Strong TypeScript/Node.js development experience Experience building full-stack applications (React/Next.js) Experience delivering cloud-based products in AWS, GCP or Azure Infrastructure knowledge such as Terraform, Docker, Kubernetes or CI/CD pipelines Experience working in startup or scale-up environments A product mindset with ...

working on software architecture and leading technical projects Nice to have: - Threat modelling, CI/CD pipeline experience such as Jenkins, GitHub Actions or Azure DevOps - Visual Studio, WinDbg, gdb, Linux kernel or low level OS interactions Sounds interesting? If you're a Senior C++ Engineer who enjoys architectural ...

Lead Data/AI Architect Proven delivery of large-scale data platform strategies and roadmaps Experience across multi-cloud/multi-platform environments (Azure Databricks, GCP Databricks, Snowflake, AWS) Strong understanding of lakehouse, warehouse, and data mesh/federated models Hands-on with at least one major platform ...

Deep understanding of AI/ML algorithms, model optimization, and enterprise-grade model deployment (preferably via Foundry). Experience with cloud platforms (e.g., AWS, Azure, GCP), distributed data processing (PySpark), and ML tools/frameworks (e.g., MLlib, TensorFlow, PyTorch). Strong knowledge of data engineering, security, compliance, and software ...