26 to 50 of 719 GCP Jobs in the UK excluding London

technologies. Experience supporting cloud migration and application modernisation initiatives. Experience within Banking, Financial Services, or Insurance domains. Cloud certifications (AWS, Azure, and/or GCP). ' We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident ...

effective solutions •Experience troubleshooting complex technical issues across multiple technology layers •Strong collaboration skills within Agile delivery environments Desirable experience: •Experience with AWS, Azure, GCP, or secure private cloud environments •Knowledge of Elastic for monitoring, logging, and observability •Understanding of service mesh technologies and concepts •Experience with Infrastructure-as-Code ...

business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. Advanced SQL skills, including optimisation ...

Data Engineers, Platform Engineers, DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve ...

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/ ...

solutions. DevOps & Cloud Build and enhance CI/CD pipelines using tools such as GitHub Actions and Jenkins. Support deployments across AWS, Azure, and GCP environments. Monitor, maintain, and improve platform reliability and performance. Drive automation and DevOps best practices throughout the software lifecycle. Quality & Collaboration Conduct code reviews ...

environment. Essential Skills and Experience 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 ...

environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g. ...

environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g. ...

infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure ...

warehousing, and master data management principles. Strong understanding of data governance, metadata management, and data quality frameworks. Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge of AI/ML platforms and MLOps practices. Experience with graph databases ...

software engineering teams (2/3+ years Management Strong background in Java, JavaScript frameworks, SQL, REST APIs, microservices, and cloud platforms (AWS, Azure, or GCP). Experience with Docker, Kubernetes, Git, CI/CD, automated testing, and DevOps practices. Knowledge of modern software architecture, secure development, and operational excellence. Excellent ...

agile, cross-functional delivery teams. Desired but not essential.... Postgraduate study or certifications in AI, machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with ...

with one or more of: Java C# Python Go TypeScript Frontend frameworks such as: React Angular Vue Svelte Cloud platforms (AWS preferred, Azure or GCP also considered) Infrastructure as Code (Terraform, AWS CDK or Pulumi) CI/CD tools including GitHub Actions, GitLab CI, Jenkins, CircleCI or ArgoCD Building secure ...

with one or more of: Java C# Python Go TypeScript Frontend frameworks such as: React Angular Vue Svelte Cloud platforms (AWS preferred, Azure or GCP also considered) Infrastructure as Code (Terraform, AWS CDK or Pulumi) CI/CD tools including GitHub Actions, GitLab CI, Jenkins, CircleCI or ArgoCD Building secure ...

offshore development teams. Technical Environment You'll have exposure to modern engineering technologies including: Java 11+ Spring Boot Cloud platforms (Azure, AWS or GCP) Microservices & Event-Driven Architecture Terraform Azure DevOps, GitHub or Jenkins CI/CD pipelines AI-enabled development tools Secure SDLC Infrastructure as Code Observability and monitoring. ...

such as handling sensitive data correctly, using approved tools, and raising potential risks to senior colleagues. Basic understanding of cloud platforms (AWS, Azure, or GCP); exposure to cloud-native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration ...

tools and APIs (e.g., LLM-assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) Experience designing systems for reliability, scalability, and observability Ability to navigate and become ...

reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency ...

data engineering, including data wrangling, cleansing, and creating pipelines that integrate seamlessly into production environments. Extensive experience in cloud environments (AWS, Azure, or GCP), including leveraging cloud-native AI tools like SageMaker, Vertex AI, or Azure ML Studio. Demonstrable expertise in creating interactive dashboards and visual analytics using tools such ...

based in Manchester. This is an excellent opportunity for an experienced Cloud Infrastructure or Platform Engineer looking to work across both Google Cloud Platform (GCP) and AWS , helping to design, automate and optimise highly available cloud environments that underpin mission-critical financial services platforms used by businesses around the world. … automation, cloud networking, security, reliability and continuous improvement across a modern multi-cloud estate. Key Responsibilities Design, build and maintain scalable cloud infrastructure across GCP and AWS Develop Infrastructure as Code using Terraform Create and maintain Ansible playbooks for automation and configuration management Build resilient, secure and highly available cloud ...

leverage the skills and experience of a wider set of practitioners. Key Skills Expertise in at least one major cloud platform e.g. AWS, Azure, GCP . Knowledge of modern, cloud native, tech stacks. Proficiency with Infrastructure as Code tools, particularly Terraform. Experience with CI/CD tools e.g. Jenkins, GitHub ...

/Unix fundamentals* Application troubleshooting and performance diagnostics* Incident and Problem Management processes* Monitoring and observability platforms**Desirable:*** OpenShift/Kubernetes* Cloud technologies (Google Cloud Platform, Azure, AWS)* Microservices and distributed architectures* Event-driven architectures and messaging platforms (Kafka, MQ)* Elastic Stack (ELK)* Grafana* Google Cloud Observability (GCO)* Python, Shell ...

Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency ...

future duties and responsibilities Architect, build and operate cloud infrastructure Design and deliver secure, scalable, fault-tolerant infrastructure across AWS (and potentially Azure/GCP), optimised for performance, availability, and cost. Support and operate live systems Maintain deployment environments, support production systems, and manage changes to live services in mission ...