1 to 25 of 527 Remote/Hybrid GCP Jobs in the UK

GCP Architect London (Hybrid - 2-4 days onsite per month) £80,000-£90,000 + Benefits SC Clearance Eligibility Required We're working with a leading digital transformation consultancy delivering large-scale cloud, platform and AI programmes across enterprise and public sector clients. They're looking for a GCP Architect … proposals, technical discovery sessions and solution design workshops Tech Environment You'll work across a modern Google Cloud ecosystem including: Google Cloud Platform (GCP) Kubernetes/GKE Terraform Java and/or Python Cloud Run & Cloud Functions BigQuery, Cloud SQL & Spanner Vertex AI and AI-enabled services CI/ ...

Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent ...

delivery across cloud environments. Strong consulting and communication skills – comfortable engaging with clients and influencing decisions. Shipped production systems on Azure, AWS or GCP with operational ownership (you build it, you run it). IaC expertise (Terraform preferred) + CI/CD (GitHub Actions/GitLab CI) + container platforms ...

frameworks (LangChain, LlamaIndex) and vector databases Hands-on with distributed computing (Spark, Databricks) and microservices architecture Cloud experience with Azure (preferred), AWS, or GCP and lakehouse platforms Familiarity with DevOps tools (Git, CI/CD, Terraform) and Docker/Kubernetes Financial domain expertise in banking, capital markets, or fintech environments ...

Microservices and distributed systems CI/CD and automated deployment pipelines JUnit, Mockito, Spock Git/Maven Cloud-native infrastructure (AWS/Azure/GCP) Terraform and Infrastructure as Code Messaging and event-driven architecture Observability and monitoring tooling AI-assisted development tooling and automation Requirements Strong commercial Java engineering ...

software engineering best practices and design patterns Experience with relational databases such as PostgreSQL or MySQL Experience working with cloud platforms (AWS, Azure, or GCP) Familiarity with Docker and containerised deployments Experience with Git and collaborative development workflows Understanding of CI/CD pipelines and automated testing Experience working within ...

microservices * Experience across the full software development lifecycle * Knowledge of Agile and DevOps practices, CI/CD, and cloud platforms (AWS/Azure/GCP) * Experience with containerisation (Docker/Kubernetes) * Excellent communication and collaboration skills Reasonable Adjustments: Respect and equality are core values to us. We are proud ...

with distributed computing frameworks like Hive/Hadoop and Apache Spark. Expertise in data modeling, schema design, and data visualization tools. Experience working in GCP and/or AWS is a plus. Experience with JavaScript, Node.js and React is nice to have. Experience deploying services on Kubernetes is a plus. ...

architecture, implementation, and optimisation.* Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc.* Experience designing and supporting implementation of large-scale data ...

programming language (preferably Java) and willingness to learn new technologies. Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non‐SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful ...

data platforms and AI/ML solutions Define and influence data & AI strategy at enterprise level Design scalable solutions across cloud ecosystems (AWS, Azure, GCP) Lead implementation of MLOps frameworks and model lifecycle management Architect advanced AI use cases (NLP, LLMs, Agentic AI) Drive best practice across data governance, modelling ...

automated/offline evaluation, safety/guardrails, telemetry, versioning and CI/CD for ML. Cloud engineering: Azure (preferred) and/or AWS/GCP; Kubernetes/Docker; serverless (Azure Functions/Lambda); secure networking/IAM. Data engineering: Spark/Databricks, ETL/ELT pipelines; integration with client data ...

LLMs, and MLOps. Expert‐level understanding of NLP, Embeddings, and Prompt Engineering. Expert proficiency in Python, React, and TypeScript. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion ...

environments Strong knowledge of CI/CD platforms such as Jenkins, GitLab CI and Azure DevOps Experience managing cloud environments (Azure preferred, AWS or GCP also considered) Strong understanding of networking, security and system administration principles Experience with Docker, Kubernetes and container orchestration Proficiency in scripting languages such as Bash ...

/Qualifications) You have extensive hands‐on experience designing, building, and operating scalable production systems on or for a major cloud provider (e.g., AWS, GCP), including data-intensive distributed workflows, backend services, and APIs. You use AI tools like Claude, Cursor, or similar as a core part of your development ...

SAFe Agilist, or equivalent agile certifications. PMP, PRINCE2, or MSP qualifications. Hands‐on understanding of Kubernetes, container orchestration, and cloud platform architecture (AWS, Azure, GCP). Experience building or scaling a managed services business line from early stage. Experience implementing and operating ITSM tooling (ServiceNow, Jira Service Management, or similar ...

Defence, Government or secure environments Understanding of DevSecOps principles UX/UI awareness and user-centred design principles Cloud platform experience (AWS, Azure or GCP) Experience working with government standards and compliance requirements What’s On Offer Opportunity to work on nationally significant programmes Hybrid and flexible working arrangements Access ...

orchestration frameworks (e.g., Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead‐letter queues, error isolation). Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high ...

experience working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG) Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered) Strong understanding of APIs, microservices, and distributed systems Familiarity with tools like Docker, Kubernetes , and CI/CD pipelines Experience working with data ...

architecture decisions and engineering best practices Supporting the deployment and monitoring of ML applications in production Tech environment includes: Python AWS/Azure/GCP Kubernetes & Docker FastAPI Infrastructure as Code CI/CD pipelines ML frameworks such as PyTorch/TensorFlow What they’re looking for: Strong Python engineering ...

design patterns, clean architecture Experience working with Docker/Kubernetes Exposure to CI/CD and modern DevOps practices Cloud experience (AWS, Azure or GCP) Big plus if you have: Experience with Kafka/messaging systems Built or worked within microservices architectures Experience scaling systems or handling high-volume environments ...

C#, TypeScript, Kotlin, Java, or Go. Strong experience building and optimizing systems for performance, scalability, and reliability. Hands‐on experience with cloud platforms: AWS, GCP, Azure. Infrastructure as Code expertise using Terraform. Practical experience with DevOps and infrastructure tooling: CI/CD pipelines Docker Kubernetes (K8s) Experience with monitoring ...

orchestrate multiple LLM providers and AI APIs. * Own and maintain cloud infrastructure and deployment pipelines. * Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud SQL. * Build and maintain CI/CD pipelines using GitHub Actions and Docker. * Collaborate effectively with cross-functional teams including product … React o PostgreSQL o Prisma ORM * Experience working with cloud platforms and infrastructure-as-code. * Hands-on experience with: o Google Cloud Platform (GCP) o Terraform o Docker o GitHub Actions/CI/CD pipelines * Experience integrating and building solutions using LLMs, AI APIs or AI-assisted development tools. ...

orchestrate multiple LLM providers and AI APIs. * Own and maintain cloud infrastructure and deployment pipelines. * Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud SQL. * Build and maintain CI/CD pipelines using GitHub Actions and Docker. * Collaborate effectively with cross-functional teams including product … React o PostgreSQL o Prisma ORM * Experience working with cloud platforms and infrastructure-as-code. * Hands-on experience with: o Google Cloud Platform (GCP) o Terraform o Docker o GitHub Actions/CI/CD pipelines * Experience integrating and building solutions using LLMs, AI APIs or AI-assisted development tools. ...

deployment and monitoring Strong knowledge of Python and sound engineering principles, including testing, automation and code quality Strong experience with cloud platforms such as GCP Experience with Docker, Kubernetes and modern containerised deployment patterns Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration Experience with tools ...