17 of 17 Cloud Run Jobs in England

used by both domain connectors, pair with each domain analyst on their source‐specific extraction builds, and ensure the unified data model in Cloud SQL serves all three reporting lenses – Function, Supervisory Organization, and Job Family – from a single join layer. The successful candidate will combine engineering rigor … domain analysts who own the domain‐specific extraction logic. Key Responsibilities Design and implement the shared GCP native pipeline architecture, establishing the Cloud Dataflow and Cloud Composer pattern that both HR and Finance connectors follow, with pipeline health monitoring, alerting, and audit trail via Cloud ...

Oracle and JD Edwards customers. We're looking for an experienced Senior GCP Platform Engineer/Architect to design and build the Google Cloud platform that underpins enterprise AI capabilities. This is a hands-on architecture role focused on secure, scalable, production-grade cloud platforms rather … patterns and cloud standards used across multiple enterprise customers. What You'll Be Doing: Design and build enterprise AI platforms on Google Cloud using modern cloud-native services. Architect secure, scalable GCP environments for AI workloads and enterprise ERP integrations. Design container and serverless ...

life-changing treatments. They're now looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines … storage systems in BigQuery, supporting ML teams by enabling efficient data loading, dataset management, and cloud-based training workflows. Key Responsibilities Design and build cloud-native data pipelines using Python on GCP Manage large-scale object storage for unstructured data within BigQuery Build and optimise data ...

Rust, Golang and/or TypeScript. Experience building Backend for Frontend (BFF) services. Experience with React, React Native and Next.js. Experience working with Google Cloud Platform. Experience with Kubernetes, Cloud Run, GitOps and modern deployment practices. Experience using Vercel or similar frontend deployment platforms. … facing platforms. Technology Stack Languages: Rust, Golang, TypeScript Architecture: Microservices, Backend for Frontend (BFF) Frontend: React, React Native, Next.js Cloud & Platform: Google Cloud Platform (GCP), Kubernetes, Cloud Run, GitOps, Vercel Engineering Practices: CI/CD, Automated Testing, Observability, Distributed Systems, AI‐Assisted ...

inside IR35) Duration: 6 months Start: ASAP My client is looking for an experienced Senior Kotlin engineer to support and extend a cloud-hosted platform used for bookbuilding issuances within Investment Banking Capital Markets. You will join a high‐calibre London‐based front office engineering team working … with XP practices, including mob programming as a primary way of working, test‐driven development (TDD), and continuous refactoring and clean code principles Cloud experience with GCP, including GKE and/or Cloud Run, Cloud SQL and Memory store, Artifact Registry ...

seeking a Senior Developer with strong expertise in Node.js, TypeScript, PostgreSQL, and Google Cloud Platform (GCP) to build and support scalable cloud-native applications for enterprise environments. Key Responsibilities Design and develop scalable backend services using Node.js and TypeScript. Build RESTful APIs and microservices architectures. Develop … optimize PostgreSQL databases and queries. Deploy and manage applications on Google Cloud Platform (GCP). Collaborate with architects, product owners, QA, and DevOps teams. Perform code reviews and mentor junior developers. Drive performance, security, reliability, and operational excellence. Support CI/CD pipelines and automated deployments. Required Skills ...

Role Overview We are seeking a Senior Developer with strong expertise in Node.js, TypeScript, PostgreSQL, and Google Cloud Platform (GCP) to build and support scalable cloud-native applications for enterprise environments. Key Responsibilities Design and develop scalable backend services using Node.js and TypeScript. Build RESTful APIs … microservices architectures. Develop and optimize PostgreSQL databases and queries. Deploy and manage applications on Google Cloud Platform (GCP). Collaborate with architects, product owners, QA, and DevOps teams. Perform code reviews and mentor junior developers. Drive performance, security, reliability, and operational excellence. Support CI/CD pipelines ...

with your positive attitude. Responsibilities: Design, develop, and maintain AI‐driven applications and agents, and integrate them into existing clinical applications Design and run the evaluation pipelines that gate AI outputs for quality and safety, building eval sets in partnership with clinicians, product and operations, versioning every prompt … technical topics into understandable language for colleagues across product and clinical domains. Desirable: Familiarity with Vertex AI/Gemini Enterprise and the wider Google Cloud Platform (e.g. Cloud Run, Pub/Sub, Cloud Storage). Experience with an LLM observability or evaluation ...

London****Package: Negotiable + Benefits**We are seeking an AI Engineer to design, build, and deploy Generative AI and AI‐driven applications using Google Cloud Platform (GCP) and leading Large Language Models (LLMs) such as ChatGPT (OpenAI) and Claude (Anthropic).This role is hands‐on and delivery‐focused … agents using platforms such as ChatGPT (OpenAI) and Claude (Anthropic).**Cloud & Platform Engineering (GCP)*** Develop and deploy AI solutions on Google Cloud Platform, leveraging services such as Vertex AI, BigQuery, Cloud Run, and secure API integrations.* Implement scalable, resilient architectures suitable ...

applications (chatbots, copilots, document intelligence, decision‐support tools) for insurance use cases; implement Retrieval‐Augmented Generation patterns; build LLM‐based workflows and agents. Cloud & Platform Engineering (GCP): Deploy solutions on GCP leveraging Vertex AI, BigQuery, Cloud Run, secure API integrations; build scalable, resilient, compliant … with ChatGPT/OpenAI APIs and/or Anthropic Claude; prompt engineering, system prompts, evaluation techniques; implementation of RAG, vector databases, semantic search. Cloud Platforms: Strong experience with GCP, especially Vertex AI; Docker/containerised workloads; cloud security, IAM, cost management. Data & AI Tooling: Working with ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...

Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs ...

know NestJS. Our backend is a NestJS service, and you’d feel at home when features need backend work. GraphQL. We run a federated gateway across multiple subgraphs, so federation experience makes schema and subgraph work easier. GCP and DevOps. Firestore, Pub/Sub, Cloud Run ...

know NestJS. Our backend is a NestJS service, and you'd feel at home when features need backend work. GraphQL. We run a federated gateway across multiple subgraphs, so federation experience makes schema and subgraph work easier. GCP and DevOps. Firestore, Pub/Sub, Cloud Run ...