1 to 25 of 71 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 ...

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 ...

Logging and Inventory Cloud Engineer - GCP & AWS Glasgow, United Kingdom | Posted on 28/07/2026 Contract Location: Glasgow or Bournemouth. Hybrid Contract Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Contract Classification: Inside IR35 Must have GCP and AWS Cloud experience Overview We are supporting … Infrastructure as Code using Terraform. Develop scripts and tooling using Python and Shell scripting. Support cloud engineering activities across AWS and Google Cloud Platform (GCP). Drive improvements in cloud observability, monitoring and operational reporting. Manage and optimise containerised workloads where required. Work closely with engineering and platform teams ...

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/ ...

NoSQL databases Messaging platforms such as Kafka or RabbitMQ Docker and containerisation Kubernetes and cloud‐native deployments Cloud platforms including AWS, Azure or GCP CI/CD pipelines and DevOps practices Observability, monitoring and distributed tracing JVM performance tuning and concurrency Automated testing strategies across all testing layers Build tooling ...

understanding of security logging , deploying detective configuration and regulatory control environments (e.g. SOX, SWIFT CSP, audit logging). Experience working with modern cloud platforms ( GCP, AWS or Azure ) and distributed architectures. Strong problem-solving capability, with a structured and analytical approach to complex technical challenges. Excellent collaboration and communication skills ...

understanding of security logging, deploying detective configuration and regulatory control environments (e.g. SOX, SWIFT CSP, audit logging). Experience working with modern cloud platforms (GCP, AWS or Azure) and distributed architectures. Strong problem-solving capability, with a structured and analytical approach to complex technical challenges. Excellent collaboration and communication skills ...

Python. Experience with Terraform, Harness, Azure DevOps, containers (Docker, Kubernetes). Experience with CI/CD, IaC, and PaaS cloud platforms (Azure and Google Cloud Platform). Previous experience working in financial services organisations. Excellent problem‐solving skills. Cloud and/or security certifications. Experience working within a 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 ...

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 ...

/CD, DevOps, cloud-native). Demonstrable experience managing backlogs, roadmaps, and cross-platform dependencies. Solid understanding of cloud platforms (Azure, AWS, or GCP) and migration strategies. Strong knowledge of security, compliance, and operational resilience (BCP/DR, RPO/RTO). Experience in infrastructure and platform optimisation (performance, scalability ...

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 ...

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 ...

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. ...

asset management, wealth management, or client-facing financial technology platforms Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform Exposure to event-driven architecture and distributed systems design Experience with modern front-end component libraries and design systems ABOUT US J.P. Morgan ...

using a source control product like GitLab or GitHub. Proven experience designing and implementing scalable data architectures in a cloud environment (e.g., AWS, Azure, GCP). In-depth knowledge of modern data modeling techniques (dimensional, relational, etc.) and cloud data warehousing principles. Expertise with cloud data warehouse solutions such ...