326 to 350 of 4,026 Google-Cloud-Platform Jobs

Overview Smarter Grid Solutions (SGS) is a leading provider of Smart Grid products and services with a client list of network and utility companies across the UK and North America, including Scottish & Southern Electricity Networks, National Grid Electricity Distribution, UK More ❯

GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native … role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes … and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise More ❯

GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native … role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes … and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise More ❯

GCP DevOps Engineer - AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We're seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native … role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes … and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise More ❯

GCP DevOps Engineer AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week 60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. Were seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes … and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise More ❯

GCP DevOps Engineer AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week 60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. Were seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure … role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes … and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise More ❯

GCP DevOps Engineer – AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £60000 - 80000 DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We’re seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native … role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes … and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise More ❯

GCP Architect - Manager £75,000 to 90,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Role: Google Cloud Architecture Manager Location: London or Manchester (Hybrid) Salary: £75,000 - £90,000 + benefits Clearance: Must hold active SC security clearance Overview We are seeking an experienced Google Cloud Architecture Manager to … engineers and architects, and ensuring that solutions are secure, scalable, and aligned to business objectives. The ideal candidate will bring deep expertise in Google Cloud Platform (GCP) , strong leadership capabilities, and hands-on experience with modern cloud infrastructure, automation, and security best practices. Key Responsibilities Lead the architecture and delivery of complex Google Cloud … engineers and junior architects, fostering technical growth. Skills & Experience Required Active SC Security Clearance (essential). Professional-level Google Cloud certification required. Proven expertise in Google Cloud Platform services (Compute Engine, App Engine, GKE, Cloud Storage, IAM, VPC, etc.). Strong experience in architecting and engineering cloud-based solutions that meet both functional More ❯

GCP DevOps Engineer - AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £(Apply online only) DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We're seeking a skilled GCP DevOps Engineer to architect and maintain cloud … role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes … and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise More ❯

platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). Other significant tools of the platform include Linux, Terraform, Kubernetes, Docker, Packer, Ansible and Jenkins. We support … Qualifications Required qualifications: You have experience in predominantly cloud infrastructure roles (AWS) working within teams that practice DevOps You can interact confidently with cloud platforms including AWS & GCP via CLI and/or API You have expertise and solid experience in deploying infrastructure as code with, at minimum, Terraform and ideally some of the supporting cast (Ansible, Packer More ❯

potential of their SAP investments. We do this with our continuous innovation, automation, migration and operation, delivered on the world's most comprehensive cloud platforms – AWS, Azure and GCP and SAP Cloud ERP. We have been working with AWS and SAP since 2010 and we are a Premier Amazon Partner Network (APN) Consulting Partner. We are also a More ❯

potential of their SAP investments. We do this with our continuous innovation, automation, migration and operation, delivered on the world's most comprehensive cloud platforms AWS, Azure and GCP and SAP Cloud ERP. We have been working with AWS and SAP since 2010 and we are a Premier Amazon Partner Network (APN) Consulting Partner. We are also a More ❯

automate workflows using Terraform, Kubernetes, Docker , and CI/CD toolchains (GitHub Actions, Jenkins, Argo, etc.). Manage scalable cloud-based compute environments (Oracle Cloud, AWS, or GCP) for AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support … ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated testing frameworks. Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with MLflow, Kubeflow, DVC More ❯

automate workflows using Terraform, Kubernetes, Docker , and CI/CD toolchains (GitHub Actions, Jenkins, Argo, etc.). Manage scalable cloud-based compute environments (Oracle Cloud, AWS, or GCP) for AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support … ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated testing frameworks. Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with MLflow, Kubeflow, DVC More ❯

tools (Terraform, Ansible, CloudFormation), scripting (Python, Bash), and AI-enhanced automation. Build and maintain CI/CD (Jenkins, GitLab CI, GitHub Actions, ArgoCD). Cloud infrastructure (AWS, Azure, GCP), container orchestration (Kubernetes, Docker). Logging, monitoring, and observability (Prometheus, Grafana, ELK/EFK), including AI-driven log analysis and incident prediction. Experience supporting MLOps: deploying ML workflows, ensuring model More ❯

etc ) • Continuous Integration practices and Continuous Deployment/Delivery • Containers - Docker, Kubernetes etc. • Configuration Management - Ansible, Chef, Puppet etc. • Cloud - AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring - ELK, Prometheus, Splunk, Grafana, etc. • Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang, etc. • Experience working with Linux and/or More ❯

etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang, etc. • Experience working with Linux and/or More ❯

etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang, etc. • Experience working with Linux and/or More ❯

etc..) Continuous Integration practices and Continuous Deployment/Delivery Containers Docker, Kubernetes etc. Configuration Management Ansible, Chef, Puppet etc. Cloud AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable Monitoring ELK, Prometheus, Splunk, Grafana, etc. Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang, etc. Experience working with Linux and/or More ❯

etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable • Monitoring – ELK, Prometheus, Splunk, Grafana, etc. • Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang, etc. • Experience working with Linux and/or More ❯

etc..) Continuous Integration practices and Continuous Deployment/Delivery Containers Docker, Kubernetes etc. Configuration Management Ansible, Chef, Puppet etc. Cloud AWS preferred; multi clould experience ie with Azure, GCP etc. highly desirable Monitoring ELK, Prometheus, Splunk, Grafana, etc. Experience in one of the following scripting language: Java, Bash, Python, Powershell, Golang, etc. Experience working with Linux and/or More ❯

. 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 ❯

a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). You will be instrumental in managing our on-premises environments using Anthos, optimizing our infrastructure, and ensuring seamless integration and operation. Job Description … Design, implement, and maintain highly available, scalable, and secure infrastructure on Google Cloud Platform (GCP) using Anthos, Terraform, Kubernetes, ISTIO, and ArgoCD. Architect and manage Kubernetes multi-region deployments to ensure optimal performance and reliability across geographical regions. Implement event-driven autoscaling using KEDA and Knative for efficient resource utilization and cost optimization. Streamline build and deployment … depth knowledge of Kubernetes, with specific experience in managing Anthos environments. Extensive experience with Linux OS, including administration, troubleshooting, and performance optimization. Proficiency in at least one cloud platform (GCP preferred, with AWS or Azure also acceptable). Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) and CI/CD tools (e.g., Jenkins, GitLab CI). More ❯

a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). You will be instrumental in managing our on-premises environments using Anthos, optimizing our infrastructure, and ensuring seamless integration and operation. Job Description … Design, implement, and maintain highly available, scalable, and secure infrastructure on Google Cloud Platform (GCP) using Anthos, Terraform, Kubernetes, ISTIO, and ArgoCD. Architect and manage Kubernetes multi-region deployments to ensure optimal performance and reliability across geographical regions. Implement event-driven autoscaling using KEDA and Knative for efficient resource utilization and cost optimization. Streamline build and deployment … depth knowledge of Kubernetes, with specific experience in managing Anthos environments. Extensive experience with Linux OS, including administration, troubleshooting, and performance optimization. Proficiency in at least one cloud platform (GCP preferred, with AWS or Azure also acceptable). Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) and CI/CD tools (e.g., Jenkins, GitLab CI). More ❯

a strong background in system administration and a deep understanding of Kubernetes and Anthos. The ideal candidate will have extensive experience with Linux OS and cloud platforms (preferably GCP, with AWS or Azure as alternatives). You will be instrumental in managing our on-premises environments using Anthos, optimizing our infrastructure, and ensuring seamless integration and operation. Job Description … Design, implement, and maintain highly available, scalable, and secure infrastructure on Google Cloud Platform (GCP) using Anthos, Terraform, Kubernetes, ISTIO, and ArgoCD. Architect and manage Kubernetes multi-region deployments to ensure optimal performance and reliability across geographical regions. Implement event-driven autoscaling using KEDA and Knative for efficient resource utilization and cost optimization. Streamline build and deployment … depth knowledge of Kubernetes, with specific experience in managing Anthos environments. Extensive experience with Linux OS, including administration, troubleshooting, and performance optimization. Proficiency in at least one cloud platform (GCP preferred, with AWS or Azure also acceptable). Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) and CI/CD tools (e.g., Jenkins, GitLab CI). More ❯