26 to 50 of 723 GCP Jobs in the UK

coder with Full Stack Development experience including: Proficient coding experience using Python Experience with SQL and backend development (Node.js with SQL is a plus) Proficiency in Clout Platfoms: Ideally GCP, but AWS or Azure also welcome DevOps Engineering experience understancing basic principals and tools such as: Kubernetes Terraform (infrastructure as code) CI/CD pipelines and automated deployment processes Benefits More ❯

plus, though not essential Preferred Skills Atlassian tools (Bitbucket, JIRA) Artifact storage (e.g., Artifactory) Octopus Deploy Static analysis tools (e.g., SonarQube) Control-M scheduling Cloud experience (Azure, AWS, or GCP) VMware (vSphere) and SAN experience Why Join Us? Impact from day one, with autonomy to leverage your skills Work on diverse, high-impact projects with talented colleagues Deliver tangible business More ❯

developing, and deploying high-performance backend microservices while contributing to front-end feature enhancements. You will be responsible for implementing Java 17-based applications , setting up DevOps pipelines on GCP , and collaborating closely with architects and product owners to deliver reliable, production-grade systems. This is a 6-month contract role based in Leeds, UK , with a strong possibility of … extension . Key Responsibilities: Design, develop, and deploy scalable backend microservices using Java 17 and Spring Boot . Configure and maintain DevOps pipelines on Google Cloud Platform (GCP) to support the credit decisioning engine. Build and enhance automated testing frameworks ensuring resilient, high-quality software delivery. Collaborate with cross-functional Agile teams to deliver backend and frontend features focused on … Experience: Backend Development: 8–15 years of experience with Java, Spring Boot , and microservices architecture . Java 17: Hands-on experience is mandatory . DevOps & Cloud: Proven experience with GCP , AWS , or Azure , and familiarity with CI/CD pipelines . API Development: Expertise in RESTful API design and development. Frontend: Working knowledge of ReactJS or Angular . Testing: Strong More ❯

that will help you excel: 10-15 years of backend or platform engineering experience. Proven experience building and deploying microservices in production within a cloud environment (AWS, Azure, or GCP). Expertise in Go, Node.js, or Java, with deep understanding of distributed systems and API design. Experience integrating or leveraging AI/ML models or services within production systems. Familiarity More ❯

About the role Skills: PostgreSQL, Go, React, Google Cloud, TypeScript Languages - Go, Typescript, Postgresql Frameworks/Infra - Encore, Next.js, Vercel, GCP, Rende About you We are looking for a startup-focused and experienced software engineer, who is keen on solving the real-world problems in an industry ripe for innovation. You excellent communication skills and think from first principles. You More ❯

challenges Effective communication of technical concepts to non-technical audiences Assessing applications for migration to the cloud, based on technical suitability Technical skills: Cloud platforms (AWS/Azure/GCP) Container technologies (e.g., Docker, Kubernetes) Infrastructure as code (Terraform, CloudFormation) Cloud automation and CI/CD DevOps practices and toolchains Linux and Windows system management with automation frameworks like Ansible More ❯

challenges Effective communication of technical concepts to non-technical audiences Assessing applications for migration to the cloud, based on technical suitability Technical skills: Cloud platforms (AWS/Azure/GCP) Container technologies (e.g., Docker, Kubernetes) Infrastructure as code (Terraform, CloudFormation) Cloud automation and CI/CD DevOps practices and toolchains Linux and Windows system management with automation frameworks like Ansible More ❯

globally distributed teams and collaborating across multiple time zones. Advantageous experience Experience with Java and familiarity with the JVM ecosystem; Spring Boot exposure. Cloud experience with AWS, Azure or GCP; infrastructure-as-code (e.g., Terraform, Helm) and secure configuration management. Performance profiling and tuning in .NET (e.g., dotnet-trace, PerfView) and/or JVM environments. Hands-on experience working with More ❯

Looking For Good expertise in Java and JVM-based systems (3+ years coding experience preferred) Solid background in system design, distributed systems, and cloud architectures (AWS/Azure/GCP) Passion for clean code, testing, and performance optimization Excellent communication, leadership, and decision-making skills A mindset for innovation, problem-solving, and continuous improvement Bonus Points For Experience in microservices More ❯

scale data pipelines and ETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands-on experience with big data frameworks (e.g. Apache Spark, Hadoop). Strong knowledge of data governance, security, and compliance. Ability to lead technical projects and More ❯

DevOps practices including CI/CD pipelines and infrastructure automation. Required Skills TypeScript/Node.js REST APIs (Express, Nest.js, or similar frameworks) Unit testing (Jest or equivalent) Cloud computing (GCP preferred; AWS or Azure experience also valuable) Infrastructure as Code (Terraform or similar) Docker and Compose Continuous Integration tools and environments Experience in a Continuous Delivery/Deployment setup Strong More ❯

platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack More ❯

platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes • Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack More ❯

data effectively. Familiarity with distributed systems concepts such as event sourcing, resilience patterns, and asynchronous communication. Experience with containerised development (Docker) and deploying cloud-native applications (Azure, AWS, or GCP). Strong understanding of DevOps concepts: CI/CD pipelines, automated testing, infrastructure-as-code patterns. Proficiency in unit, integration, and end-to-end testing using modern TypeScript testing tools. More ❯

broader programme and client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines More ❯

Exposure to Kubernetes, containerised environments, and Helm-based deployments. Understanding of CI/CD pipelines (GitLab CI) and infrastructure-as-code workflows. Experience working in cloud-native environments (AWS, GCP, or Azure) and awareness of security-first design. Comfort working with financial datasets, trade logs, or analytics dashboards. Experience handling sensitive or regulated data, ideally in financial or crypto contexts. More ❯

and iterative delivery approaches. You should have: Hands-on experience with Kubernetes and Linux-based platform engineering. Strong scripting and automation capability (Python preferred). Familiarity with AWS, Azure, GCP or secure on-prem cloud equivalents. Solid understanding of networking concepts (routing, DNS, firewalls, service mesh). Experience with Elastic for monitoring, logging and observability. Proficiency with GitLab CI/ More ❯

build an end-to-end pipeline consuming other data products Basic qualifications: Extensive experience conducting Bankend Development using Python. Concurrency and Asyn exp Demonstrated experience using FastAPI Cloud Experience - GCP Essential SQL Docker Containerization Unit testing experience - TDD or Test Suit ML or AI experience would be desriable. Experience within Life Sceiences or Pharma Sector If you are available and More ❯

Develop and maintain backend applications using Python and Django Integrate APIs and third-party services Work with modern CI/CD pipelines and cloud-based environments (AWS, Azure, or GCP) Participate in code reviews, testing, and technical documentation Collaborate in an Agile environment Skills & Experience: Strong commercial experience with Python and Django Familiarity with RESTful APIs, PostgreSQL Exposure to Docker More ❯

Experience: 10+ years in engineering roles, with at least 5 years in SRE, Observability, or DevOps functions.Proven track record implementing observability solutions in cloud-native environments (AWS, Azure, or GCP). Hands-on proficiency with observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry. Strong knowledge of distributed systems, microservices, and container orchestration (Kubernetes, Docker). Experience with automation and Infrastructure More ❯

a focus on building scalable data systems and platforms. Strong expertise in modern data tools and frameworks such as Kafka, Spark, Databricks, dbt, Airflow, and cloud-native services (AWS, GCP, or Azure). Deep understanding of streaming architectures, distributed systems, ETL/ELT pipelines, and data modeling. Proficiency at least one object-oriented programming language (e.g., Python, Java, Scala) and More ❯

don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana Our Interview process Interviewing is a two More ❯

performance applications: Programming Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in More ❯

performance applications: Programming Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in More ❯

understanding of software design patterns and a passion for quality engineering will be essential. Experience with microservices, DDD, CQRS, advanced Kubernetes, or cloud platforms such as AWS, Azure or GCP will be an advantage, but not required. To be eligible for this role, you must hold or be able to obtain Developed Vetting (DV) clearance, including a minimum of ten More ❯