1 to 25 of 944 GCP Jobs in the UK

ability to work in Agile environments and deliver solutions to tight deadlines Familiarity with CI/CD pipelines, Git, and automated testing Desirable Skills Cloud experience (AWS, Azure, or GCP in secure/on-prem equivalents) Containerisation and orchestration (Docker, Kubernetes) Knowledge of infrastructure-as-code (Terraform, Ansible) Previous experience in Defence, National Security, or Government projects Personal Attributes Strong More ❯

solutions. Domain experience in Recruitment 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 communication skills, with the ability More ❯

Hands-on experience with RESTful APIs, Microservices architecture, and messaging systems (Kafka, RabbitMQ, etc.). Proficiency in RDBMS (Oracle, MySQL, PostgreSQL) and SQL. Exposure to cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with CI/CD pipelines, DevOps tools (Jenkins, Git, Docker, Kubernetes). Solid understanding of Agile methodologies and SDLC best practices. Strong problem-solving, analytical, and More ❯

Hands-on experience with RESTful APIs, Microservices architecture, and messaging systems (Kafka, RabbitMQ, etc.). Proficiency in RDBMS (Oracle, MySQL, PostgreSQL) and SQL. Exposure to cloud platforms (AWS, Azure, GCP) is a plus. Familiarity with CI/CD pipelines, DevOps tools (Jenkins, Git, Docker, Kubernetes). Solid understanding of Agile methodologies and SDLC best practices. Strong problem-solving, analytical, and More ❯

Understanding of RESTful APIs, microservices, and secure API design Familiarity with DevOps tools and CI/CD pipelines (e.g. Jenkins, Maven, Docker, Kubernetes, Terraform) Experience with cloud platforms (Azure, GCP, or AWS preferred) Strong understanding of software security principles and modern secure development practices Knowledge of automated testing frameworks (e.g. Jest, Testing Library, Cypress, Cucumber) Familiarity with tools like npm More ❯

Understanding of RESTful APIs, microservices, and secure API design Familiarity with DevOps tools and CI/CD pipelines (eg Jenkins, Maven, Docker, Kubernetes, Terraform) Experience with cloud platforms (Azure, GCP, or AWS preferred) Strong understanding of software security principles and modern secure development practices Knowledge of automated testing frameworks (eg Jest, Testing Library, Cypress, Cucumber) Familiarity with tools like npm More ❯

Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines Data Integration: Products integrating ML/AI models, databases, BI tools UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys Other: Version control More ❯

control systems. Excellent problem-solving and communication skills . Ability to work independently as well as collaboratively in a team. Desirable Skills Experience with cloud platforms (AWS, Azure, or GCP). Exposure to microservices architecture . Familiarity with containerization (Docker, Kubernetes). Knowledge of NoSQL databases (e.g., MongoDB). Experience with message queues (Kafka, Solace). Front-end development exposure More ❯

with CI/CD and DevOps principles Strong communication skills with a collaborative, solutions-focused mindset Desirable Experience with microservices or event-driven architectures Exposure to cloud platforms (AWS, GCP, or Azure) Familiarity with containerisation tools (e.g. Docker, Kubernetes) Interest in functional programming or modern language paradigms If you're a versatile engineer who enjoys working across multiple technologies and More ❯

to create positive and professional business relationships with partners and customer stakeholders Key Words: Application Architect - Full Stack Engineer - Application Modernisation - AppMod - Application Engineer - Software Architect - Cloud - Azure - AWS - GCP - Application Architecture - Application Developer Additional Information We don't believe hiring is a tick box exercise, so if you feel that you don't match the job description 100%, but More ❯

the following would be highly beneficial: Atlassian tools - Bitbucket, JIRA Artifact storage using Artifactory Octopus Deploy Static analysis tools such as SonarQube Control-M Cloud platforms ( Azure, AWS, or GCP ) VMware (vSphere) and SAN technologies Reference: AMC/RHU/DVP #ryhu More ❯

or FastAPI. Strong understanding of microservices architecture and RESTful APIs. Proficient in relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Hands-on experience with cloud platforms (AWS, Azure, or GCP). Familiarity with containerization (Docker, Kubernetes). Knowledge of design patterns, OOP principles, and clean code practices. Experience with Git, Jenkins, CI/CD pipelines. Strong problem-solving and debugging More ❯

or FastAPI. * Strong understanding of microservices architecture and RESTful APIs. * Proficient in relational and NoSQL databases (e.g., PostgreSQL, MongoDB). * Hands-on experience with cloud platforms (AWS, Azure, or GCP). * Familiarity with containerization (Docker, Kubernetes). * Knowledge of design patterns, OOP principles, and clean code practices. * Experience with Git, Jenkins, CI/CD pipelines. * Strong problem-solving and debugging More ❯

/ML frameworks or data science tools is desirable. Proficiency in SQL and experience with relational databases (e.g. SQL Server, PostgreSQL). Experience with cloud infrastructure (Azure, AWS, or GCP) and DevOps tools. Strong communication skills and the ability to work collaboratively in a team-oriented environment. Experience with containerization (Docker, Kubernetes). Exposure to functional programming concepts (e.g., F# More ❯

we are looking for data engineers who have a variety of different skills which include some of the below. Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI More ❯

delivering platform or cloud architecture solutions to public sector, public health (NHS), or defence clients. Extensive hands-on experience in the design and delivery of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and SaaS components. Strong background in DevOps tooling and methodologies including: CI/CD pipelines Infrastructure-as-Code (Terraform, Pulumi, ARM, etc.) Containerisation & orchestration (Docker, Kubernetes, Helm More ❯

delivering platform or cloud architecture solutions to public sector, public health (NHS), or defence clients. Extensive hands-on experience in the design and delivery of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and SaaS components. Strong background in DevOps tooling and methodologies including: CI/CD pipelines Infrastructure-as-Code (Terraform, Pulumi, ARM, etc.) Containerisation & orchestration (Docker, Kubernetes, Helm More ❯

delivering platform or cloud architecture solutions to public sector, public health (NHS), or defence clients. Extensive hands-on experience in the design and delivery of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and SaaS components. Strong background in DevOps tooling and methodologies including: CI/CD pipelines Infrastructure-as-Code (Terraform, Pulumi, ARM, etc.) Containerisation & orchestration (Docker, Kubernetes, Helm More ❯

the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith More ❯

Bash, Python or PowerShell Production experience operating containerization technologies - ideally with Kubernetes and/or Docker. Proficiency with one or more public cloud providers such as Azure, AWS or GCP Proficiency using Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, or CloudFormation. Experience with monitoring, observability and logging tools such as DataDog, Prometheus, Grafana, or similar. Proven track More ❯

workflows, and technical specifications. Deep understanding of architectural patterns (eg, microservices, layered, serverless). Expert knowledge of big data tools (Kafka, Spark, Hadoop) and major cloud platforms (AWS, Azure, GCP) to inform technology recommendations. Proficiency in Java, C#, Python, or JavaScript/TypeScript. Experience with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices. Familiarity with SQL/NoSQL databases More ❯

workflows, and technical specifications. Deep understanding of architectural patterns (e.g., microservices, layered, serverless). Expert knowledge of big data tools (Kafka, Spark, Hadoop) and major cloud platforms (AWS, Azure, GCP) to inform technology recommendations. Proficiency in Java, C#, Python, or JavaScript/TypeScript. Experience with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices. Familiarity with SQL/NoSQL databases More ❯

to-Have Experience Atlassian tools (JIRA, Bitbucket) Artifactory or similar artefact storage Octopus Deploy Static code analysis tools (e.g. SonarQube) Control-M job scheduling Cloud platform experience (Azure, AWS, GCP) VMware (vSphere) and SAN storage Why Join Us? Impact from day one - your work will directly contribute to critical business outcomes Top-tier colleagues - work alongside experienced professionals who are More ❯

clearance. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many More ❯

clearance. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many More ❯