126 to 150 of 1,898 GCP Jobs in England

deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: Google Cloud Platform, Microsoft Azure Events and asynchronous tasks: Celery, NATS, Argo Workflows We work agile in sprints and iteratively deliver towards our milestones and goals. We More ❯

infrastructure solutions, ensuring reliability, scalability, and performance. Requirements: Proven experience managing and optimizing a diverse infrastructure stack. Extensive knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, CloudFormation). Familiarity of service mesh technologies (Istio, Linkerd). Solid understanding of virtualization (VMware, Hyper-V) and containerization (Docker More ❯

infrastructure solutions, ensuring reliability, scalability, and performance. Requirements: Proven experience managing and optimizing a diverse infrastructure stack. Extensive knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, CloudFormation). Familiarity of service mesh technologies (Istio, Linkerd). Solid understanding of virtualization (VMware, Hyper-V) and containerization (Docker More ❯

backend or infrastructure development Strong skills in Go, Python, Node.js, or Java Solid experience with Kubernetes, SQL/NoSQL, and cloud platforms (AWS/GCP/Azure) Familiarity with APIs, CI/CD, monitoring tools, and scalable architecture Bonus: Knowledge of Generative AI or HPC workloads ✨ What we offer: Hybrid More ❯

backend or infrastructure development Strong skills in Go, Python, Node.js, or Java Solid experience with Kubernetes, SQL/NoSQL, and cloud platforms (AWS/GCP/Azure) Familiarity with APIs, CI/CD, monitoring tools, and scalable architecture Bonus: Knowledge of Generative AI or HPC workloads ✨ What we offer: Hybrid More ❯

Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. More ❯

Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. More ❯

projects in a fast-paced environment - Customer obsessed - Languages : English and Hebrew PREFERRED QUALIFICATIONS - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but not a requirement More ❯

to juggle tasks and projects in a fast-paced environment Customer obsessed PREFERRED QUALIFICATIONS Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but not a requirement More ❯

frameworks such as SonarQube, xUnit, Postman, Cucumber, Polaris, Blackduck. • Strong hands-on experience in any one or more cloud technologies such as Azure/GCP/AWS. • Strong knowledge in data structures, algorithms, design patterns & Clean architecture principles • Strong knowledge in design principles/methodologies such as SOLID, 12 Factor More ❯

Cloud & AWS Knowledge: Strong experience with AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus. Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale. Database More ❯

Cloud & AWS Knowledge: Strong experience with AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus. Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale. Database More ❯

explaining technical details to both expert engineers and non-technical business leaders. Have Some Cloud/Data Familiarity Experience with databases, cloud infrastructure (AWS, GCP, or Azure), or AI/ML tools is a plus—but an eagerness to learn is even more important. Preferred Qualifications Bachelor’s or Master More ❯

explaining technical details to both expert engineers and non-technical business leaders. Have Some Cloud/Data Familiarity Experience with databases, cloud infrastructure (AWS, GCP, or Azure), or AI/ML tools is a plus—but an eagerness to learn is even more important. Preferred Qualifications Bachelor’s or Master More ❯

architecture, and systems design. Extensive experience in implementing AI-first software. Proven experience in AI development and AIOps implementation. Experience with various cloud platforms (GCP, AWS, Azure, etc.), DevOps tools. Demonstrated ability to scale technical teams and deliver complex software projects on time and on budget. Experience in creating solutions More ❯

and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks expertise, including ML workflows and data pipeline integration Familiarity More ❯

and scaling Generative AI models (GPT, Stable Diffusion, BERT) Proficiency with Python and ML frameworks (TensorFlow, PyTorch, Hugging Face) Strong cloud platform experience (AWS, GCP, Azure) and managed AI/ML services Practical experience with Docker, Kubernetes, and container orchestration Databricks expertise, including ML workflows and data pipeline integration Familiarity More ❯

with distributed caching, SQL/NO SQL, and other databases is a plus Experience with Big Data and cloud services such as AWS/GCP is a plus Experience in advertising domain a big plus B.S. or M.S. degree in Computer Science, Engineering, or equivalent Benefits Roku is committed to More ❯

CI/CD pipelines. Experience with Infrastructure-as-Code using Terraform Experience deploying and operating infrastructure in at least one public cloud provider (AWS, GCP, or Azure) Experience managing PKI/X.509 certificate infrastructure. Extensive experience supporting and implementing TLS/SSL certificate management systems Proficient with Token-based authentication More ❯

of IT or engineering, or have previously held significant positions in similar roles Experience working with cloud servers and real-time databases such as GCP, Firebase and AWS Experience of working with relational databases such as MySQL, Oracle and Microsoft SQL Server Experience in developing website and mobile app back More ❯

of IT or engineering, or have previously held significant positions in similar roles Experience working with cloud servers and real-time databases such as GCP, Firebase and AWS Experience of working with relational databases such as MySQL, Oracle and Microsoft SQL Server Experience in developing website and mobile app back More ❯

cloud platforms). Experience with data pipelines, backend systems, and APIs (ETL/ELT, microservices). Familiarity with distributed systems, cloud environments (AWS/GCP/Azure), and CI/CD. Interest in working closely with ML engineers and AI-powered systems. Willingness to think about data accessibility and usability More ❯

and deployment workflows (e.g., Azure DevOps, GitLab CI, Jenkins). Cloud Platform Management: Hands-on experience with cloud environments such as Azure, AWS, or GCP, including governance, cost optimization, and security configuration. Automation Scripting & Tooling: Strong scripting skills (e.g., PowerShell, Python, Bash) to automate workflows and enforce repeatability. Containerisation & Orchestration More ❯

and deployment workflows (e.g., Azure DevOps, GitLab CI, Jenkins). Cloud Platform Management: Hands-on experience with cloud environments such as Azure, AWS, or GCP, including governance, cost optimization, and security configuration. Automation Scripting & Tooling: Strong scripting skills (e.g., PowerShell, Python, Bash) to automate workflows and enforce repeatability. Containerisation & Orchestration More ❯

command of Go Experience with building services on top of Kubernetes Experience with building services on at least two major cloud providers (e.g. AWS, GCP, Azure) Experience with on-premise production deployments Qualifications Bachelor's degree (or equivalent) in Computer Science or a related field Strong coding skills with demonstrated More ❯