1 to 25 of 68 GCP Jobs in Scotland

Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Contract Classification: Inside IR35 Overview We are seeking an experienced Google Cloud Platform (GCP) Platform Provisioning Engineer to join a leading global financial services organisation on a major cloud transformation programme. This is an exciting opportunity to become part … next-generation multi-cloud engineering team responsible for building and evolving an enterprise cloud platform spanning Google Cloud Platform (GCP), AWS, Azure and on-premise environments. The successful candidate will play a key role in designing, developing and managing cloud platform provisioning solutions with a primary focus on GCP, while ...

client delivery. You’ll have access to a wide array of training programs and certifications in areas such as: Cloud Technologies: AWS, Azure, GCP Programming: Java, Kotlin, Node.js, Spring Boot DevOps: Terraform, Kubernetes, Docker Cybersecurity: CISSP, CISM Agile Delivery: Scrum Master, Product Owner, Scaled Agile Framework This flexibility allows ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent ...

scalable, and maintainable. Define technical standards and patterns for backend services across the engineering team. Evaluate and recommend cloud infrastructure components on Azure and GCP to support platform needs. Manage and optimize relational data models using PostgreSQL. Deploy and manage backend services on cloud platforms, preferably Azure and/ ...

evolution of next-generation, self-optimising data and AI platforms that power both operational and analytical data workloads. Leveraging hyperscale cloud ecosystems (AWS, Azure, GCP), you will embed agentic AI capabilities, enabling systems that can reason, adapt, and act with minimal human intervention. We ENABLE intelligent cloud transformation– You will ...

Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical ...

track record of designing and delivering large-scale, distributed systems in a complex enterprise environment. Deep expertise in architectural frameworks, cloud platforms (AWS, Azure, GCP), microservices, APIs, and security. Strong understanding of DevOps, CI/CD, and modern software development methodologies. Demonstrated experience with Agentic AI systems, autonomous agents ...

safe adoption, reuse, and measurable outcomes. Practical cloud native experience Preferred qualifications, capabilities, and skills Experience in Infrastructure Architecture designs Experience in AWS EKS, GCP GKE ecosystems a plus Knowledge of industry‐wide technology trends and best practices Knowledge of multiple Cloud Platforms Proficiency in database technology such as Oracle ...

frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify ...

frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices Why Join Capco ...

infrastructure programmes (e.g. cloud transformations, data centre exits, data centre transformations) Leading or managing cloud migrations with at least one of AWS, Azure or GCP Aligning cloud & infrastructure strategies to business objectives and continuous improvement initiatives Familiarity with DevOps, FinOps, platform engineering and SRE is desirable Change and adoption ...

Django Channels, Flask, RESTful APIs. Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage. Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure, or GCP) Ability to present and effectively communicate with senior leaders and executives Demonstrable experience designing and leading adoption of agentic AI-enabled development practices (using enterprise ...

frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify ...

software development lifecycle. Experience with Spring Boot, Spring Framework and microservices architecture. Exposure to Node.js, TypeScript, Express.js or Nunjucks. Experience with AWS, Azure or GCP, Docker, Kubernetes and DevOps practices. Experience with Terraform and CI/CD tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality digital ...

methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity ...

support the delivery of a large-scale, next-generation multi-cloud platform. This is a hands-on role focused on designing and automating Google Cloud Platform infrastructure, building Kubernetes-native solutions, and driving cloud engineering best practices. Working within a modern cloud environment spanning GCP, AWS, Azure and on-premise … help deliver secure, scalable and automated platform services using Infrastructure as Code and GitOps methodologies. Key responsibilities Design and implement secure, scalable Google Cloud Platform architectures Build and automate cloud infrastructure using Terraform (HCL) Develop and manage Kubernetes platforms, Operators and Custom Resources Implement GitOps CI/CD pipelines using ...

solutions. Tech environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure. What we're looking for Proven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience ...

define metrics, generate actionable insights, and drive decisions based on operational data. Hands-on experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and infrastructure-as-code tooling including Terraform. Systematic problem-solving and troubleshooting skills applied to complex, distributed systems in production environments. ...

industry. Your Technical Expertise: Architectural and/or feature knowledge of one or more of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, and Databricks. Experience in one or more of the listed Languages such as: Python, R, PySpark Experience in one or more ...

Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical ...

data-driven decision making and a drive to continue developing technical and cross-functional knowledge Preferred qualifications, capabilities, and skills Kubernetes, Azure, Google Cloud Platform, or Terraform certifications Experience working in a follow-the-sun or globally distributed on-call support model Familiarity with large-scale cloud migration or modernization ...

Optimisation, and LTV. Experience in building and deploying production-ready ML models, and solid data engineering skills (e.g. experience with cloud technologies - we use GCP, but experience with AWS is also relevant). Ability in Python and SQL for data manipulation, modelling, and scripting. You have experience working with large ...

Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical ...