1 to 25 of 154 Permanent GCP Jobs in Yorkshire

proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker ...

multiple programming languages such as Python, JavaScript, or similar. Extensive experience writing well-tested code. Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with ...

/CD pipelines (Jenkins, GitLab, Azure DevOps). Automate deployment, monitoring, and builds for microservices & APIs . Integrate with cloud platforms (AWS, Azure, GCP) and troubleshoot production issues. Must-Have Skills: Strong Java & Python (Spring Boot, Flask/Django). Experience with DevOps tools : Jenkins, Git, Docker, Kubernetes. Knowledge ...

patterns, and secure coding practices Experience working with SQL/NoSQL databases (PostgreSQL, Oracle) Nice‐to‐Have Skills Experience with cloud platforms (AWS, Azure, GCP) Containerization knowledge (Docker, Kubernetes) UI development in PEGA or frameworks like Angular/React Familiarity with DevOps tools (Jenkins, Git, SonarQube, CI/CD pipelines ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

leverage the skills and experience of a wider set of practitioners. Key Skills Expertise in at least one major cloud platform e.g. AWS, Azure, GCP . Knowledge of modern, cloud native, tech stacks. Proficiency with Infrastructure as Code tools, particularly Terraform. Experience with CI/CD tools e.g. Jenkins, GitHub ...

leverage the skills and experience of a wider set of practitioners. Key Skills Expertise in at least one major cloud platform e.g. AWS, Azure, GCP . Knowledge of modern, cloud native, tech stacks. Proficiency with Infrastructure as Code tools, particularly Terraform. Experience with CI/CD tools e.g. Jenkins, GitHub ...

automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns ...

automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns ...

automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such ...

About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using ...

modern DevOps tooling within engineering teams. Cloud/DevOps Engineer Requirements Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Strong understanding of cloud-native architectures and modern technical stacks. Proficiency with Infrastructure as Code, particularly Terraform. Experience with CI/CD tooling ...

happy to work in a Golang-first environment Scalable systems: experience with microservices, event-driven architecture, and high-throughput APIs Cloud-native: AWS or GCP experience, containerisation, orchestration, and horizontal scaling Product-focused mindset: enjoys building systems that directly improve user experience and business outcomes Collaboration: Agile, TDD, CI/ ...

happy to work in a Golang-first environment Scalable systems: experience with microservices, event-driven architecture, and high-throughput APIs Cloud-native: AWS or GCP experience, containerisation, orchestration, and horizontal scaling Product-focused mindset: enjoys building systems that directly improve user experience and business outcomes Collaboration: Agile, TDD, CI/ ...

happy to work in a Golang-first environment Scalable systems: experience with microservices, event-driven architecture, and high-throughput APIs Cloud-native: AWS or GCP experience, containerisation, orchestration, and horizontal scaling Product-focused mindset: enjoys building systems that directly improve user experience and business outcomes Collaboration: Agile, TDD, CI/ ...

mentor more junior team members internally. The successful candidate will: Architect and manage platforms for our public and private sector clients on Google Cloud Platform, AWS and Azure when needed Be familiar with Gitops practices and workflows Build CI/CD pipelines, automation (Ansible, Terraform), and containerised solutions Collaborate with ...