26 to 50 of 3,095 GCP Jobs in the UK

Kubernetes in production environments, including cluster administration, workload management, networking, security, and performance optimisation Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, with a strong understanding of managed cloud services Hands‐on experience with GitOps methodologies and related tooling Experience with infrastructure‐as‐code tools such ...

supporting our client, one of the Big Four, with an experienced Google Cloud Platform (GCP) Architect role, to join a cloud programme for a Tier 1 bank, based in Glasgow. Role: Google Cloud Platform (GCP) Architect role Day rate: £400 – 450 per day (inside IR35) Pay framework: Umbrella Company Location … operational best practices for production environments. In-depth Google Cloud development experience -architecting, building, deploying, and operating production cloud-native workloads using core GCP services; understanding cost optimization and security best practices Proficiency in automation and continuous delivery -designing and implementing CI/CD pipelines, infrastructure automation, and deployment strategies ...

Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.). Expertise in Developer Experience (DevEx) and CI/CD tools (Jenkins, Spinnaker ...

engineering community.Preferred Skills:Proven experience designing, building, and maintaining cloud-based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code … using tools such as Terraform (including for GCP) or Deployment Manager.Strong background in CI/CD pipeline design and automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security ...

engineering community.Preferred Skills:Proven experience designing, building, and maintaining cloud-based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code … using tools such as Terraform (including for GCP) or Deployment Manager.Strong background in CI/CD pipeline design and automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security ...

Qualifications, Capabilities, and Skills:Formal training or certification on software engineering concepts.Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within ...

Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within ...

underpin AI-driven transformation. Your responsibilities will include:Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads.Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other … Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/ ...

engineers and providing technical leadership Strong analytical and problem-solving abilities Experience working within Agile delivery environments Desirable Experience: Cloud certifications (Azure, AWS, or GCP) TOGAF, DAMA CDMP, or Data Engineering certifications Experience with AI/ML platforms or MLOps Exposure to Data Mesh or Data Fabric architectures Enterprise Architecture ...

Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands‐on experience with at least one major cloud provider (AWS, Azure, or GCP). Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.). Expertise in Developer Experience (DevEx) and CI/CD tools (Jenkins, Spinnaker ...

Experience developing solutions within secure or regulated environments. Desirable Skills & Experience Experience deploying and managing applications in cloud environments. Experience with Google Cloud Platform (GCP) Experience with AWS or Azure cloud services. Knowledge of containerisation technologies such as Docker and Kubernetes. If you receive suspicious outreach claiming to be from ...

programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … Previous experience deploying and managing LLM-model based applications and agentsExposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector BucketsExposure to cloud-native microservices architectureFamiliarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol ...

programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures ...

programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures ...

programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications … Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures ...

DescriptionRole – AI Evangelist (Senior Technology Architect) Technology – AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP Location – London – UKBusiness Unit – TOPAZDLVRYCompensation – Competitive (including bonus)Job Summary: We are seeking a highly skilled and experienced Senior Architect/Consultants to lead our Generative AI Technologies team. ...

coding workflows. Architect and Maintain Scalable Microservices: Design, develop, and sustain robust microservice architectures on cloud platforms like AWS, Azure, or Google Cloud Platform (GCP). Ensure that these architectures are scalable, secure, and capable of handling high volumes of data and user interactions, supporting the organization’s digital transformation ...

processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i,e cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding ...

Design, build, and maintain software solutions using Java, Python, C#/.NET and/or TypeScript Develop cloud-native applications across AWS, Azure, or GCP Contribute to system architecture and make key technical decisions Build and integrate APIs, event-driven systems, and distributed applications Collaborate with platform teams to ensure … software Required Strong experience building production systems using Java, Python, C#/.NET or TypeScript Solid experience working with cloud platforms (AWS, Azure, or GCP) Good understanding of system design, distributed systems, and scalable architectures Experience building and consuming APIs (REST and event-based systems) Comfortable working across the full ...

London, GBR • Professional Services DescriptionJob Title: Strategic DevSecOps ConsultantJob Type: Full TimeLocation: UK, London - HybridAbout CloudBeesCloudBees enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work. Seamlessly integrating into ...

guide the delivery of software solutions using Java, Python, C#/.NET and/or TypeScript Develop cloud-native applications across AWS, Azure, or GCP Provide technical leadership on complex projects and programmes of work Contribute to system architecture and make key technical decisions Work with distributed systems, APIs … Required Extensive experience building production systems using Java, Python, C#/.NET or TypeScript Significant experience working with cloud platforms (AWS preferred, Azure or GCP also considered) Strong understanding of system design, distributed systems, and scalable architectures Experience building and consuming APIs (REST and event-based systems) Experience making architectural ...

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And ...

Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch ...

Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch ...

generating change as reviewable pull requests. Cloud‐native platforms and their primitives: Kubernetes, containers (Docker/OCI), and at least one of AWS, GCP, or Cloud Foundry/VCF. CI/CD and automated deployment pipelines. Designing validation and guardrails for automated change, testing, verification, and safe rollback. ...