601 to 625 of 3,641 GCP Jobs

travel to London. Key Responsibilities: Design, develop, and maintain CI/CD pipelines to streamline deployment processes Manage and optimize cloud infrastructure using services such as AWS, Azure, or GCP Implement and maintain container orchestration platforms (e.g., Kubernetes, Docker) Monitor system performance, proactively identify issues, and implement resolutions Ensure security and compliance across cloud and on-premise environments Work closely … system administration, and security best practices Requirements Proven experience in a DevOps or Site Reliability Engineering (SRE) role Solid experience with at least one major cloud provider (AWS, Azure, GCP) Hands-on experience with Kubernetes and Docker Proficiency in Terraform, CloudFormation, or similar IaC tools Strong scripting skills in Bash, Python, or similar Familiarity with monitoring and logging tools (e.g. More ❯

travel to London. Key Responsibilities: Design, develop, and maintain CI/CD pipelines to streamline deployment processes Manage and optimize cloud infrastructure using services such as AWS, Azure, or GCP Implement and maintain container orchestration platforms (e.g., Kubernetes, Docker) Monitor system performance , proactively identify issues, and implement resolutions Ensure security and compliance across cloud and on-premise environments Work closely … system administration , and security best practices Requirements Proven experience in a DevOps or Site Reliability Engineering (SRE) role Solid experience with at least one major cloud provider (AWS, Azure, GCP) Hands-on experience with Kubernetes and Docker Proficiency in Terraform , CloudFormation , or similar IaC tools Strong scripting skills in Bash , Python , or similar Familiarity with monitoring and logging tools (e.g. More ❯

travel to London. Key Responsibilities: Design, develop, and maintain CI/CD pipelines to streamline deployment processes Manage and optimize cloud infrastructure using services such as AWS, Azure, or GCP Implement and maintain container orchestration platforms (e.g., Kubernetes, Docker) Monitor system performance , proactively identify issues, and implement resolutions Ensure security and compliance across cloud and on-premise environments Work closely … system administration , and security best practices Requirements Proven experience in a DevOps or Site Reliability Engineering (SRE) role Solid experience with at least one major cloud provider (AWS, Azure, GCP) Hands-on experience with Kubernetes and Docker Proficiency in Terraform , CloudFormation , or similar IaC tools Strong scripting skills in Bash , Python , or similar Familiarity with monitoring and logging tools (e.g. More ❯

travel to London. Key Responsibilities: Design, develop, and maintain CI/CD pipelines to streamline deployment processes Manage and optimize cloud infrastructure using services such as AWS, Azure, or GCP Implement and maintain container orchestration platforms (e.g., Kubernetes, Docker) Monitor system performance, proactively identify issues, and implement resolutions Ensure security and compliance across cloud and on-premise environments Work closely … system administration, and security best practices Requirements Proven experience in a DevOps or Site Reliability Engineering (SRE) role Solid experience with at least one major cloud provider (AWS, Azure, GCP) Hands-on experience with Kubernetes and Docker Proficiency in Terraform, CloudFormation, or similar IaC tools Strong scripting skills in Bash, Python, or similar Familiarity with monitoring and logging tools (e.g. More ❯

startup where your work directly drives the product vision. What you'll be doing: Designing and deploying scalable, high-performance cloud infrastructure for ML workloads. Managing cloud platforms (AWS, GCP, Azure) and setting up ML nodes for both local development and distributed training. Optimizing storage systems to handle big data for ML. Building and scaling containerized applications with Docker, Kubernetes … is a big plus). Strong scripting ability (Bash, Python, PowerShell, etc.) for automation. Hands-on experience with containerization & orchestration (Docker, Kubernetes, Terraform). Skilled in cloud platforms (AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner More ❯

services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week More ❯

understanding. Desirable Experience Background in infrastructure or networking. Exposure to generative AI, AWS Contact Center, data and analytics, or mainframe modernisation. Multi-cloud or hybrid cloud experience (e.g. Azure, GCP). Understanding of interoperability across cloud platforms and on-prem environments. Additional Information Candidates must be eligible for UK security clearance (typically 5 years of continuous UK residency and British More ❯

with CI/CD pipelines, containerization (Docker, Kubernetes is a plus Good understanding of version control systems like Git. Preferred, but not required: Experience with other cloud platforms (AWS, GCP) is a plus. Knowledge of frontend technologies such as Angular or React (optional Certification in Java, Azure, or Microservices is advantageous. More ❯

theres a brilliant city-centre Edinburgh office, great for getting together with the team, especially in the early weeks. What were looking for: Strong experience with AWS (Azure or GCP a bonus) and one or more modern languages such as Java, JavaScript or Python Hands-on knowledge of Terraform or CloudFormation Familiarity with Kubernetes , serverless architectures, CI/CD, and More ❯

integrate third-party services. Build scalable, secure, and high-performance backend architectures. Implement and maintain DevOps practices , working with tools such as Docker , Kubernetes , and cloud platforms ( AWS/GCP/Azure ). Collaborate with designers, product managers, and other developers to bring ideas to life. Write clean, maintainable, and well-documented code. Develop with Node.js for backend services where … front-end applications. Proficiency in SQL databases (PostgreSQL/MySQL) and ORMs. Experience with DevOps practices and familiarity with tools such as Docker , Kubernetes , and cloud platforms ( AWS/GCP/Azure ). Knowledge of Node.js and building scalable back-end services. Experience in API development and integrating third-party APIs. Familiarity with Agile methodologies, version control (Git), and CI More ❯

platform. Remote : UK Salary : Up to £50k + 1% Equity What You’ll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯

a brilliant city-centre Edinburgh office, great for getting together with the team, especially in the early weeks. What we’re looking for: Strong experience with AWS (Azure or GCP a bonus) and one or more modern languages such as Java, JavaScript or Python Hands-on knowledge of Terraform or CloudFormation Familiarity with Kubernetes , serverless architectures, CI/CD, and More ❯

ready platform. Remote : UK Salary : Up to 50k + 1% Equity What Youll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯

best practices & mentor junior devs What were looking for: 5+ years software engineering, incl. 3+ in Go Strong background in microservices & distributed systems Experience with AWS/Azure/GCP Hands-on with CI/CD, Git, YAML, monitoring tools Excellent problem-solver, proactive communicator, team player Perks: Fully remote (UK) with high-end kit provided Annual reviews + More ❯

platform. Remote : UK Salary : Up to £50k + 1% Equity What You’ll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯

ready platform. Remote : UK Salary : Up to 50k + 1% Equity What Youll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯

Remote : UK Salary : Up to £50k + 1% Equity What You ll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯

platform. Remote : UK Salary : Up to £50k + 1% Equity What You’ll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯

platform. Remote : UK Salary : Up to £50k + 1% Equity What You’ll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯

platform. Remote : UK Salary : Up to £50k + 1% Equity What You’ll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯

platform. Remote : UK Salary : Up to £50k + 1% Equity What You’ll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to More ❯