26 to 50 of 697 GCP Jobs in the UK

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 ❯

enterprise environments Strong IaC experience (Terraform preferred, CloudFormation also valuable) Solid understanding of architectural design patterns and their application to AI systems Deep expertise in one or more of: GCP, AWS, Azure Advocacy for high-quality engineering: automation, testing, IaC, pipeline maturity Excellent communication and documentation skills - written, verbal, diagrammatic Practical experience with serverless and containerised deployments Proven ability to 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 ❯

Development (TDD) and automated testing frameworks Excellent collaboration and communication skills, with a track record of working effectively in Agile environments Familiarity with public cloud platforms (AWS, Azure, or GCP) and containerized deployments Experience in retail banking or financial services is beneficial Environment & Culture The team currently manages over 300 microservices and operates within a truly collaborative Agile delivery model. More ❯

microservice-based architectures using domain driven design (DDD). CQRS and Event Sourcing patterns Kubernetes Knowledge/Certification in Spring framework. Experience in cloud technologies AWS/Azure/GCP 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 ❯

REST framework, views, templates). Strong background in React and modern front-end development (Redux, Hooks, etc.). Experience working with Git, Docker, and cloud environments (AWS, Azure, or GCP). Knowledge of SQL and relational databases (PostgreSQL, MySQL, or similar). Familiarity with CI/CD pipelines, automated testing, and Agile development practices. Understanding of RESTful APIs, modern UI More ❯

Knowledge of front-end performance optimization and accessibility standards (e.g., WCAG 2.2) Strong understanding of RESTful APIs, OpenAPI specifications, and GraphQL best practices Familiarity with cloud platforms (e.g., Azure, GCP, AWS) and containerization tools (e.g., Docker, Kubernetes basics) Experience interacting with databases, both SQL (e.g., PostgreSQL, SQL Server) and NoSQL (e.g., MongoDB, DynamoDB) varieties Familiarity with event streaming (e.g., Apache More ❯

databases (e.g., Postgres) Experience collaborating in team environments and adapting to changing requirements Understanding of software design principles and engineering best practices Desirable Experience Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis) Familiarity with Git for version control and deployment tooling such as GitLab CI/CD Exposure to large-scale distributed More ❯

Experience with modern frontend frameworks (React, Vue, Angular) Solid understanding of database technologies (PostgreSQL, MySQL) and data modeling Experience designing and building RESTful APIs Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker) Bonus: Experience with financial concepts, real estate data, or startup environments What's in it for me: Salary up to £90,000 dependent on experience Hybrid 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 (lots of teams are releasing code 15-20 times per day) Terraform and Grafana Interview Process 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 ❯

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 ❯

/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/CD pipelines for data workflows. Excellent communication skills and ability to collaborate across teams. Preferred Qualifications Experience with Databricks More ❯

APIs (eg, LLMs, STT/TTS, or other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH. The salary is very much More ❯

APIs (e.g., LLMs, STT/TTS, or other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH. The salary is very much 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 ❯

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 ❯