1 to 25 of 1,117 Permanent GCP Jobs in the South East

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 that supports high-performance AI systems. This is 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 ...

database solutions Solid understanding of cyber security principles including secure coding practices, encryption, authentication, and access management Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation technologies including Docker and Kubernetes Familiarity with CI/CD tools, infrastructure as code, performance monitoring, and modern DevOps practices Strong ...

Python , and microservices (additional languagaes are a benefit). Strong knowledge of Agile , TDD , and DevOps methodologies. Proficiency with cloud platforms (AWS, Azure, or GCP) and Infrastructure as Code. Experience with CI/CD, containerization (Docker, Kubernetes), and automated testing. Proven ability to lead and inspire engineering teams. Excellent communication ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

real-world production environment, with responsibility for supporting, scaling, and maintaining mission-critical systems. Deep expertise with at least one major cloud platform (AWS, GCP, or Azure), including designing cloud-native architectures, implementing best practices, and managing production workloads in highly available environments. Strong programming or scripting skills in languages ...

software architecture. Hands-on expertise with Java, Spring Boot , and microservices. Strong understanding of Agile and DevOps practices. Familiarity with cloud platforms (AWS, Azure, GCP) and Infrastructure as Code. Experience with CI/CD, containerisation (Docker, Kubernetes), and automated testing. Excellent communication and stakeholder engagement skills. Desirable: Experience in consulting ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...