526 to 550 of 2,770 Remote Azure Jobs

Skills Needed 5–7 years’ experience in Solution Architecture, ideally in large-scale digital environments. Expertise in Kotlin, Swift, modern web/mobile frameworks, and cloud technologies (AWS/Azure). Strong background in scalable, enterprise-grade design and integration. Hands-on understanding of coding, automation, CI/CD, and DevOps tooling. Familiarity with TOGAF, UML, or ArchiMate frameworks More ❯

experience) in Computer Science, Software Engineering, or a related field. Brings expertise in enterprise architecture, data governance, and cybersecurity. Lives and breathes modern platforms and practices, think AWS/Azure, DevOps, Terraform, Git. Background coding in HTML, JavaScript, and SQL when needed, but also thinks big picture. Has experience leading teams, managing risk, and delivering under pressure. Knows how More ❯

experience) in Computer Science, Software Engineering, or a related field. Brings expertise in enterprise architecture, data governance, and cybersecurity. Lives and breathes modern platforms and practices, think AWS/Azure, DevOps, Terraform, Git. Background coding in HTML, JavaScript, and SQL when needed, but also thinks big picture. Has experience leading teams, managing risk, and delivering under pressure. Knows how More ❯

techniques Driving efficiencies through automation Web development experience, including awareness of best practices and standards such as accessibility, usability and web standards Experience of Agile tools and processes e.g. Azure DevOps My client are committed to promoting a fair and inclusive workplace. They want all their staff to be able to flourish and reach their full potential. They are More ❯

trajectory of fast growth. Essential skills for the role: Minimum 10 years experience working in software engineering with either C# or Java. Deep expertise with cloud technology - AWS, GCP, Azure or equivalents. Demonstrable competency in the build and delivery of high throughput, low latency solutions within a commercial setting; we re looking for an ability to deliver systems that More ❯

SQL (queries, joins, aggregations) Python (data manipulation, logic, best practices) Power BI/Tableau (data visualisation and dashboards) Data Modelling (relational and dimensional concepts) Cloud Platforms (AWS, GCP, or Azure) You’ll teach both Rockborne’s early-career consultants and external client teams, adapting your approach to suit different levels of experience — from beginners to experienced professionals. You’ll More ❯

SQL (queries, joins, aggregations) Python (data manipulation, logic, best practices) Power BI/Tableau (data visualisation and dashboards) Data Modelling (relational and dimensional concepts) Cloud Platforms (AWS, GCP, or Azure) You’ll teach both Rockborne’s early-career consultants and external client teams, adapting your approach to suit different levels of experience — from beginners to experienced professionals. You’ll More ❯

threaded systems and working with load balancing concepts. Familiarity with CI/CD, automation, and Behavioural Driven Development (BDD). Comfortable deploying applications on cloud infrastructure (AWS, GCP, or Azure). Excellent communication, analytical, and problem-solving skills. Desirable Skills Experience with Infinispan, JGroups, or clustered caching solutions. Exposure to NoSQL databases (e.g. BigQuery). Familiarity with Pub/ More ❯

similarity search systems. ● Graph databases (ArangoDB, Neo4j, Neptune) and property graph modelling. ● Data engineering: ETL pipelines, document processing, schema design for AI applications. ● Cloud platforms (GCP preferred, AWS/Azure also relevant) and containerisation (Docker). ● Observability and monitoring for LLM applications (tracing, metrics, cost tracking). ● Secure coding practices for regulated industries and sensitive data handling. More ❯

building and maintaining test automation and CI/CD pipelines. Skilled in working with SQL Server and designing APIs, including REST and GraphQL. Knowledgeable about cloud platforms such as Azure, AWS, and microservices architecture. Familiar with secure development practices and OWASP standards. An effective, respectful communicator across technical and non-technical audiences. Experience working with legacy codebases (e.g., VB.NET More ❯

junior developers. Works with stakeholders as well as technical and analytical counterparts to define constraints and develop requirements and concept of operations documentation. Knowledge of cloud technologies ( e.g. AWS, Azure) Knowledge of database technologies (e.g. cloud, SQL, Oracle, Mongo DB, PostgreSQL, etc.) Fundamental knowledge of software engineers' best practices, agile methodologies, CI/CD pipelines Knowledge of test-first More ❯

ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business and other departments, translating technical concepts and More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

an MLOps, ML Engineering, or Platform Engineering team. Solid background in applied machine learning and a passion for platform disciplines. Hands-on experience with cloud platforms (AWS, GCP, or Azure), including large-scale ML infrastructure management. Knowledge of GPU computing for model training and serving. Experience managing containerised workloads (Docker, Kubernetes, Kubeflow, etc.) and integrating with CI/CD More ❯

technical audiences. Collaborative, pragmatic mindset with a strong sense of ownership. Nice-to-have Prior experience in fintech or highly regulated environments. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes). Exposure to compliance, risk, or secure data architectures. Familiarity with modern DevOps, CI/CD, and infrastructure-as-code practices. Our Technical Principles More ❯