26 to 50 of 1,485 GCP Jobs in England

the following would be highly beneficial: Atlassian tools - Bitbucket, JIRA Artifact storage using Artifactory Octopus Deploy Static analysis tools such as SonarQube Control-M Cloud platforms ( Azure, AWS, or GCP ) VMware (vSphere) and SAN technologies Reference: AMC/RHU/DVP #ryhu More ❯

or FastAPI. Strong understanding of microservices architecture and RESTful APIs. Proficient in relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Hands-on experience with cloud platforms (AWS, Azure, or GCP). Familiarity with containerization (Docker, Kubernetes). Knowledge of design patterns, OOP principles, and clean code practices. Experience with Git, Jenkins, CI/CD pipelines. Strong problem-solving and debugging More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm More ❯

delivering platform or cloud architecture solutions to public sector, public health (NHS), or defence clients. Extensive hands-on experience in the design and delivery of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and SaaS components. Strong background in DevOps tooling and methodologies including: CI/CD pipelines Infrastructure-as-Code (Terraform, Pulumi, ARM, etc.) Containerisation & orchestration (Docker, Kubernetes, Helm More ❯

delivering platform or cloud architecture solutions to public sector, public health (NHS), or defence clients. Extensive hands-on experience in the design and delivery of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and SaaS components. Strong background in DevOps tooling and methodologies including: CI/CD pipelines Infrastructure-as-Code (Terraform, Pulumi, ARM, etc.) Containerisation & orchestration (Docker, Kubernetes, Helm More ❯

the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯

following scripting languages: PowerShell, Python, Groovy, Shell/Bash, GoLang Understanding and experience with product technologies: ELK Stack, RabbitMQ, NVIDIA GPU’s. Experience with one or more cloud providers; GCP, AWS, Azure. Experience with K8 stacks: MicroK8’s, OpenShift, GKE, EKS, AKS, RKE2 Proficient in English language: we are globally dispersed and English is our universal language. Excellent communication and More ❯

following scripting languages: PowerShell, Python, Groovy, Shell/Bash, GoLang Understanding and experience with product technologies: ELK Stack, RabbitMQ, NVIDIA GPU’s. Experience with one or more cloud providers; GCP, AWS, Azure. Experience with K8 stacks: MicroK8’s, OpenShift, GKE, EKS, AKS, RKE2 Proficient in English language: we are globally dispersed and English is our universal language. Excellent communication and More ❯

workflows, and technical specifications. Deep understanding of architectural patterns (e.g., microservices, layered, serverless). Expert knowledge of big data tools (Kafka, Spark, Hadoop) and major cloud platforms (AWS, Azure, GCP) to inform technology recommendations. Proficiency in Java, C#, Python, or JavaScript/TypeScript. Experience with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices. Familiarity with SQL/NoSQL databases More ❯

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

Exposure to video, media, or codec technologies (encoding/decoding, quality metrics such as VMAF/PSNR/SSIM). Experience with containerisation (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Familiarity with BDD frameworks (Cucumber, Spock). Background in data science/analytics to interpret and visualise results. Interest in AI-assisted testing tools or automation frameworks. More ❯

Java. Experience designing and building RESTful APIs, modular services, and event-driven systems in Java (Spring Boot, Spring Cloud). Familiarity with cloud platforms (AWS preferred; Azure or Google Cloud Platform acceptable), containerisation tools (Docker), and orchestration frameworks (Kubernetes). Experience working with relational databases, caching layers, and messaging queues. Proven experience of testing principles and practices; applying this knowledge More ❯

to-Have Experience Atlassian tools (JIRA, Bitbucket) Artifactory or similar artefact storage Octopus Deploy Static code analysis tools (e.g. SonarQube) Control-M job scheduling Cloud platform experience (Azure, AWS, GCP) VMware (vSphere) and SAN storage Why Join Us? Impact from day one - your work will directly contribute to critical business outcomes Top-tier colleagues - work alongside experienced professionals who are More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯