1 to 25 of 2,339 Permanent GCP Jobs in the UK excluding London

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 infrastructure … a hands-on technical 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 to support … up monitoring 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 in CI 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 infrastructure … a hands-on technical 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 to support … up monitoring 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 in CI 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 infrastructure … a hands-on technical 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 to support … up monitoring 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 in CI 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 infrastructure … a hands-on technical 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 to support … up monitoring 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 in CI More ❯

fostering a culture of technical excellence. What You'll Bring Proven experience in platform or software engineering within complex environments. Hands-on experience with cloud technologies (AWS, Azure, or GCP). Strong background in DevOps principles , automation, and CI/CD. Familiarity with infrastructure-as-code tools such as Terraform or Ansible. Experience with containerisation and orchestration technologies. Understanding of More ❯

fostering a culture of technical excellence. What You’ll Bring Proven experience in platform or software engineering within complex environments. Hands-on experience with cloud technologies (AWS, Azure, or GCP). Strong background in DevOps principles , automation, and CI/CD. Familiarity with infrastructure-as-code tools such as Terraform or Ansible. Experience with containerisation and orchestration technologies. Understanding of More ❯

fostering a culture of technical excellence. What You’ll Bring Proven experience in platform or software engineering within complex environments. Hands-on experience with cloud technologies (AWS, Azure, or GCP). Strong background in DevOps principles , automation, and CI/CD. Familiarity with infrastructure-as-code tools such as Terraform or Ansible. Experience with containerisation and orchestration technologies. Understanding of More ❯

fostering a culture of technical excellence. What You’ll Bring Proven experience in platform or software engineering within complex environments. Hands-on experience with cloud technologies (AWS, Azure, or GCP). Strong background in DevOps principles , automation, and CI/CD. Familiarity with infrastructure-as-code tools such as Terraform or Ansible. Experience with containerisation and orchestration technologies. Understanding of More ❯

fostering a culture of technical excellence. What You’ll Bring Proven experience in platform or software engineering within complex environments. Hands-on experience with cloud technologies (AWS, Azure, or GCP). Strong background in DevOps principles , automation, and CI/CD. Familiarity with infrastructure-as-code tools such as Terraform or Ansible. Experience with containerisation and orchestration technologies. Understanding of More ❯

GCP Data Engineer | London | £50,000 - £70,000 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. With a diverse portfolio of clients and cutting-edge projects, our client is a trusted name in the data consulting space. Due to exciting growth plans, we are now looking for a … Data Engineer , specialising in Google Cloud Platform (GCP) and BigQuery . We are looking for: Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent … communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What’s in it for you: 📍 Location: London (Hybrid) 💻 Remote working: Occasional office visits each month 💰 Salary: £50,000–£70,000 DOE 🤝 Collaborative culture and strong team support 📈 Vast L&D opportunities both internally and externally More ❯

GCP Data Engineer | London | £50,000 - £70,000 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. With a diverse portfolio of clients and cutting-edge projects, our client is a trusted name in the data consulting space. Due to exciting growth plans, we are now looking for a … Data Engineer , specialising in Google Cloud Platform (GCP) and BigQuery . We are looking for: Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent … communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What’s in it for you: 📍 Location: London (Hybrid) 💻 Remote working: Occasional office visits each month 💰 Salary: £50,000–£70,000 DOE 🤝 Collaborative culture and strong team support 📈 Vast L&D opportunities both internally and externally More ❯

GCP Data Engineer | London | £50,000 - £70,000 Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. With a diverse portfolio of clients and cutting-edge projects, our client is a trusted name in the data consulting space. Due to exciting growth plans, we are now looking for a … Data Engineer , specialising in Google Cloud Platform (GCP) and BigQuery . We are looking for: Demonstrable data engineering/BI skills, with a focus on having delivered solutions in Google Cloud Platform (GCP) Strong experience designing and delivering data solutions using BigQuery Proficient in SQL and Python Experience working with Big Data technologies such as Apache Spark or PySpark Excellent … communication skills, with the ability to engage effectively with senior stakeholders Nice to haves: GCP Data Engineering certifications BigQuery or other GCP tool certifications What’s in it for you: 📍 Location: London (Hybrid) 💻 Remote working: Occasional office visits each month 💰 Salary: £50,000–£70,000 DOE 🤝 Collaborative culture and strong team support 📈 Vast L&D opportunities both internally and externally More ❯

CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration More ❯

CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration More ❯

CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration More ❯

solutions. Domain experience in Recruitment Technology, HRTech, or closely related fields is a must. Proficient in software architecture, microservices, RESTful API design, and cloud-native development (AWS, Azure, or GCP preferred). Experience with CI/CD pipelines, automated testing, and DevOps practices. Solid grasp of security best practices, data privacy, and GDPR compliance. Excellent communication skills, with the ability More ❯

supplier list for this position.KeywordsCloud Engineer, Full Stack Developer, Data Engineer, Java Developer, Node.js, React Developer, Kubernetes, Docker, Red Hat OpenShift, CI/CD, GitHub, ArgoCD, PostgreSQL, AWS, Azure, GCP, DevOps, Agile, Power BI, Data Pipelines, Microservices, Hybrid Working, Security Clearance, Leadership, Management. More ❯

their Sheffield office. Key skills: • Strong in Golang & Python • Skilled in RESTful APIs, microservices, Kubernetes, serverless functions, and database technologies (Relational & NoSQL). • Cloud & DevOps Expertise: Extensive AWS experience (GCP desirable), Infrastructure as Code (Terraform), CI/CD (Jenkins, GitLab), containerisation, monitoring, and cost optimisation. • Security & Compliance: Solid understanding of cryptography, cloud security principles, audit, and compliance, particularly in regulated More ❯

their Sheffield office. Key skills: • Strong in Golang & Python • Skilled in RESTful APIs, microservices, Kubernetes, serverless functions, and database technologies (Relational & NoSQL). • Cloud & DevOps Expertise: Extensive AWS experience (GCP desirable), Infrastructure as Code (Terraform), CI/CD (Jenkins, GitLab), containerisation, monitoring, and cost optimisation. • Security & Compliance: Solid understanding of cryptography, cloud security principles, audit, and compliance, particularly in regulated More ❯

as SQLAlchemy Proven commercial experience building and maintain features with Javascript, Typescript, React and a keen interest in UI/UX Familiarity with cloud-based data services (AWS/GCP/Azure) Proven ability working with containerised deployments (Docker) Experience using AI-assisted coding and development tools (eg Claude Code, Cursor) as part of modern best practices Familiarity with continuous More ❯

problem-solving skills and a proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the More ❯

problem-solving skills and a proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the More ❯

problem-solving skills and a proactive approach to technical challenges Strong communication and collaboration skills, comfortable working in cross-functional teams Desirable: Exposure to cloud platforms (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools and automation pipelines Understanding of infrastructure-as-code tools (Terraform, Ansible, etc.) If you have a background in the More ❯

AI features to life You'll bring: Strong commercial experience developing production-grade systems in Python with proven experience at Senior level Experience with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Exposure to ML model integration, APIs, or data-driven systems (you don't need to be a Data Scientist) A problem-solving mindset and passion for More ❯

AI features to life You’ll bring: Strong commercial experience developing production-grade systems in Python with proven experience at Senior level Experience with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Exposure to ML model integration, APIs, or data-driven systems (you don’t need to be a Data Scientist) A problem-solving mindset and passion for More ❯