26 to 50 of 1,321 GCP Jobs in the UK

experience includes: DevOps & Platform Engineering: CI/CD, Infrastructure as Code, Terraform, Docker, Kubernetes and cloud-native deployment practices. Cloud Technologies: AWS, Azure or GCP, including architecture, infrastructure automation and production operations. Software Engineering: Python, APIs, modern development frameworks, Git, automated testing and software delivery best practices. AI/ ...

MLOps practices and how data engineering supports scalable machine learning and AI deployment. Experience managing distributed applications across cloud environments, ideally including Google Cloud Platform and Microsoft Azure. Strong communication and stakeholder management skills, with the ability to explain complex technical topics clearly. A structured and analytical approach to solving ...

Data Architecture: You should have practical architecture experience across both established enterprise approaches and modern data patterns, including: Cloud-native data platforms (AWS, Azure, GCP). Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous). Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh ...

open table formats such as Delta Lake or Apache IcebergProficiency with cloud-native services on Azure and knowledge of multi-cloud environments (AWS or GCP)Hands-on experience with CI/CD and Infrastructure as Code tools (Terraform, GitHub Actions, Jenkins)Strong leadership ability to guide teams, define epics/ ...

C# .Net, React and Next.js, MongoDB and SQL. Learning and applying cloud-native technologies including Kubernetes and major cloud platforms (AWS, Azure and GCP). Supporting the engineering lifecycle from development through to deployment, maintenance and decommissioning. Collaborating with cross-functional teams to deliver high-quality solutions that meet customer ...

infrastructure, platform, or cloud engineering teams. Strong technical foundation in operating large-scale, highly distributed production systems on cloud platforms such as OCI, AWS, GCP, or Azure. Demonstrated ability to lead senior engineers and provide credible technical guidance. Strong understanding of reliability engineering practices, including availability, scalability, observability, incident management ...

system designProduction Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructureStrong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutionsExcellent communication skills with the ability ...

solution development in production environments. Hands-on experience with modern AI infrastructure, including vector databases (e.g., Pinecone, Weaviate, Qdrant), cloud platforms (Azure, AWS, or GCP), API design, and containerized deployment (Docker, Kubernetes). Experience designing data pipelines and document processing systems for unstructured content at scale (parsing, OCR, entity extraction ...

software development methodologies such as Agile, TDD, and DevOps. Extensive experience writing well-tested code. Good knowledge of cloud platforms(e.g. Azure, AWS, GCP) and infrastructure as code(Terraform) Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns, e.g. microservices and event-driven. Experience ...

software development methodologies such as Agile, TDD, and DevOps. Extensive experience writing well-tested code. Good knowledge of cloud platforms(e.g. Azure, AWS, GCP) and infrastructure as code(Terraform) Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns, e.g. microservices and event-driven. Experience ...

microservices Experience working in agile environments with DevOps practices and CI/CD pipelines Knowledge of cloud platforms such as AWS, Azure, or GCP Familiarity with containerisation technologies (Docker, Kubernetes) or serverless architectures Experience with automated testing frameworks and modern development practices Understanding of software architecture patterns and secure design ...

engineers who have a variety of different skills which include some of the below. · Strong proficiency in Python · Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks ...

enterprise applications in Python . Experience designing and building APIs and service-oriented architectures. Strong understanding of cloud platforms such as Azure, AWS or GCP . Experience with Docker, Kubernetes and containerised deployments. Knowledge of job orchestration, workflow engines and message queues. Strong SQL and data integration experience. Experience building ...

reliable, high-quality solutions. Exposure to complementary technologies such as Docker, Kubernetes, Ansible, OpenSearch, Elastic Cloud, Python, AWS Control Tower, Security Hub, GuardDuty, Inspector, GCP, FinOps, cloud cost optimisation or AI-assisted engineering tools would be beneficial. Work in a Way That Works for You We promote a healthy work ...

with a strong foundation in successfully building and deploying services in the cloud A deep knowledge of cloud platforms such as AWS, Azure and GCP Hands on experience delivering software using multiple programming languages, and a thorough understanding of modern software engineering best practices Deep experience with containerisation and orchestration ...

with experience creating developer tooling or shared engineering platforms that improve engineering productivity. Practical experience with cloud platforms such as AWS, Azure or Google Cloud Platform, and experience implementing quality metrics, reporting dashboards and visualisation tools to measure software quality. Excellent analytical and problem-solving skills, with proven ability ...

Linux, Docker, and Kubernetes, and proficiency in source control software, including Git and SVN.Cloud Computing Expertise: Practical experience with cloud platforms (e.g., AWS, Azure, GCP) and demonstrated proficiency in deploying applications within cloud environments. Generative AI Ecosystem Knowledge: Deep understanding of the generative AI ecosystem, including AI orchestration frameworks (e.g. ...

maintain monitoring, logging, observability and alerting solutions to support operational excellence. Core Skills & Experience Experience with one or more cloud platforms (AWS, Azure or GCP) Strong CI/CD knowledge with hands-on experience using tools such as GitLab, Jenkins, GitHub Actions, Azure DevOps or AWS CodeBuild Infrastructure as Code ...

native architecture, with hands-on experience designing and implementing these at enterprise scale. Hands-on experience with a major public cloud (AWS, Azure, or GCP), containerization/orchestration (Docker, Kubernetes), and a scripting/programming language (Python, Shell, Go, Java, or similar).Experience with CI/CD platforms such ...

working hands-on whilst also thinking strategically about the bigger picture You have hands-on experience using cloud services (such as Azure, AWS or GCP) to design & build ML products, pipelines and platforms You're able to design simple solutions that solve complex business problems You have an in-depth ...

messaging technologies. Knowledge of AI tooling applications within QA workflows to improve coverage, efficiency and defect detection. Exposure to cloud platforms such as AWS, GCP, Azure, and OpenShift. Financial services or trading domain experience is a nice to have. Strong communication and collaboration skills, with confidence engaging internal and external ...

infrastructure to run models in production. Data & platform: SQL, plus experience designing batch and stream data-processing systems. Cloud & tooling: AWS and/or GCP, Docker, Terraform, and observability tooling such as Datadog. Knowledge of Kubernetes, Kafka, and CI/CD pipelines is highly beneficial. Additional InformationBring ...

messaging technologies. Knowledge of AI tooling applications within QA workflows to improve coverage, efficiency and defect detection. Exposure to cloud platforms such as AWS, GCP, Azure, and OpenShift. Financial services or trading domain experience is a nice to have. Strong communication and collaboration skills, with confidence engaging internal and external ...

across multiple sectors. Technical Expertise Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog. Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation). Hands-on expertise with data lake/lakehouse architectures and modern streaming solutions. Experience with SQL, NoSQL ...

/or Java would be advantageous. Strong understanding of distributed systems, gRPC, microservices architecture, and RESTful APIs. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).Solid understanding of database design, query optimization, and administration for relational (e.g. PostgreSQL) databases. Knowledge of scalability strategies, microservices architecture, load ...