26 to 50 of 1,118 GCP Jobs in London

frameworks and tools Our Tech Stack includes: 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 AI Integration: Pragmatic and safe use of AI through the SDLC, including MCP for tool integration More ❯

candidate will meet all of the following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi-disciplined team and clearly communicating complex technology solutions to technical and non-technical people Experience designing event processing and async messaging architectures More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯

in Go. Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. More ❯

direction and long-term roadmap. 🎯 What we’re looking for: 5+ years of experience as a Software Engineer, ideally in Python (3.10+). Proven experience developing cloud-native applications (GCP or AWS). Strong understanding of CI/CD pipelines (e.g. GitHub Actions) and containerisation (Docker). Experience designing scalable, secure systems using modern principles (SOLID, TDD). Familiarity with More ❯

direction and long-term roadmap. 🎯 What we’re looking for: 5+ years of experience as a Software Engineer, ideally in Python (3.10+). Proven experience developing cloud-native applications (GCP or AWS). Strong understanding of CI/CD pipelines (e.g. GitHub Actions) and containerisation (Docker). Experience designing scalable, secure systems using modern principles (SOLID, TDD). Familiarity with More ❯

contribute to codebases and solve complex technical challenges. Strong understanding of modern software architectures (e.g., microservices, APIs, serverless). Experience with one or more cloud platforms (e.g., AWS, Azure, GCP). Strong working knowledge of web and mobile technologies, RESTful APIs, and front-end/back-end development patterns. Excellent understanding of software development methodologies, DevOps practices, and CI/ More ❯

and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and More ❯

and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and More ❯

Proficiency in Golang or Rust. Experience in building distributed, low-latency, and high-throughput systems Experience with data structures, algorithms, and software design Familiarity with cloud computing platforms (AWS, GCP, or Azure) Experience with Infrastructure as Code (IaC) tools like Terraform, Ansible, or similar Experience with databases (SQL, NoSQL) and caching solutions Experience with version control systems like Git Familiarity More ❯

reports directly to the Chief Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap. Responsibilities Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure Write, review, and manage modular, reusable Terraform code Operate and enhance CI/CD pipelines using GitHub Actions Containerise and deploy backend applications … Infrastructure-as-Code using Terraform (modular and reusable patterns preferred) Strong foundation in Linux, networking, and container technologies Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable) Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access control. Familiarity with observability tools … Ability to systematically troubleshoot and debug distributed systems Comfortable reading, modifying, and writing code in Python and/or Node.js Nice to Have Production experience with Google Cloud Platform (GCP) Knowledge of security and IAM best practices, including role design, policy management, and access boundaries Experience optimising CI/CD pipelines for speed, reliability, and developer experience (e.g., caching, incremental More ❯

reports directly to the Chief Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap. Responsibilities Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure Write, review, and manage modular, reusable Terraform code Operate and enhance CI/CD pipelines using GitHub Actions Containerise and deploy backend applications … Infrastructure-as-Code using Terraform (modular and reusable patterns preferred) Strong foundation in Linux, networking, and container technologies Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable) Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access control. Familiarity with observability tools … Ability to systematically troubleshoot and debug distributed systems Comfortable reading, modifying, and writing code in Python and/or Node.js Nice to Have Production experience with Google Cloud Platform (GCP) Knowledge of security and IAM best practices, including role design, policy management, and access boundaries Experience optimising CI/CD pipelines for speed, reliability, and developer experience (e.g., caching, incremental More ❯

experience). Proven experience in technical support, site reliability engineering (SRE), or platform operations. Strong knowledge of Linux/Unix and Windows environments. Familiarity with cloud platforms (AWS, Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). More ❯

teams to ensure smooth delivery from prototype to production. What You’ll Bring Strong background in cloud infrastructure engineering — experience with at least one major provider ( AWS, Azure, or GCP ). Proven ability to deploy and manage systems across hybrid or multi-cloud and on-premise environments. Expertise with Kubernetes, Docker , and container orchestration at scale. Familiarity with DevOps and More ❯

of professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or More ❯

of professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or More ❯

Required Technical Expertise Deep experience with DevOps architecture and implementation Understanding of containers with heavy experience in at least one or more of: Docker, Kubernetes, Rancher Working experience with GCP cloud infrastructure/services Experience with infrastructure-as-code: Terraform Experience with GKE, Helm, and Harness Experience with Linux System Administration Understanding of high-availability, disaster-recovery, monitoring and logging More ❯

large scale datasets, data engineering workflows, and production automation. Python (production grade), SQL, Linux; strong software engineering (testing, type hints, code review, packaging). Cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking (MLflow/W&B). Machine Learning for time series/tabular data; LLM/agentic systems 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 ❯

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 ❯

London. This role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. Essential Experience Hands-on experience with cloud platforms, ideally with GCP but AWS and Azure experience is also very relevant. Proven track record building CI/CD pipelines and infrastructure-as-code. Experience developing and supporting production-grade applications in languages More ❯

London. This role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. Essential Experience Hands-on experience with cloud platforms, ideally with GCP but AWS and Azure experience is also very relevant. Proven track record building CI/CD pipelines and infrastructure-as-code. Experience developing and supporting production-grade applications in languages More ❯

London. This role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. Essential Experience Hands-on experience with cloud platforms, ideally with GCP but AWS and Azure experience is also very relevant. Proven track record building CI/CD pipelines and infrastructure-as-code. Experience developing and supporting production-grade applications in languages More ❯

work experience). Proven experience in technical support, site reliability engineering (SRE), or platform operations. Strong knowledge of Linux/Unix and Windows environments. Familiarity with cloud platforms (Azure, GCP). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Knowledge of scripting languages (Python, Bash, PowerShell). Knowledge of containerization & orchestration (Docker, Kubernetes). More ❯