1 to 25 of 42 Permanent Google Kubernetes Engine Jobs in the UK excluding London

expertise to deliver robust, innovative solutions, from initial strategy to implementation and optimization.Our commitment to innovation and delivering outstanding results was recently celebrated at Google Cloud Next ’26, where Deloitte was honoured with an exceptional six Google Cloud Partner of the Year awards.This recognition underscores our commitment … expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.· Demonstrable experience with AI/ML services on Google Cloud ...

expertise to deliver robust, innovative solutions, from initial strategy to implementation and optimization.Our commitment to innovation and delivering outstanding results was recently celebrated at Google Cloud Next ’26, where Deloitte was honoured with an exceptional six Google Cloud Partner of the Year awards.This recognition underscores our commitment … expertise across a broad range of Google Cloud services, including but not limited to: Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.· Demonstrable experience with AI/ML services on Google Cloud ...

Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) or Deployment Manager.Strong background … tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security, and identity management in cloud environments, including GCP-specific best practices.Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana ...

Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including for GCP) or Deployment Manager.Strong background … tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security, and identity management in cloud environments, including GCP-specific best practices.Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana ...

bootstrapping Google Cloud Organisations, hardening with policies and structuring an enterprise’s resource hierarchy Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Network Connectivity Center, Cloud SQL, Identity and Access Management (IAM) and VPC Service Controls Experience writing clean, modular Terraform code Experience with … great! Java, which makes up the majority of our backend codebase GCP and AWS — we're cloud-native Container-based architecture Kubernetes (GKE on GCP, EKS on AWS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana RDS and CloudSQL for PostgreSQL Our Interview ...

bootstrapping Google Cloud Organisations, hardening with policies and structuring an enterprise’s resource hierarchy Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Network Connectivity Center, Cloud SQL, Identity and Access Management (IAM) and VPC Service Controls Experience writing clean, modular Terraform code Experience with … great! Java, which makes up the majority of our backend codebase GCP and AWS — we're cloud-native Container-based architecture Kubernetes (GKE on GCP, EKS on AWS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana RDS and CloudSQL for PostgreSQL Our Interview ...

Cloud Platform team. The ideal candidate will have hands-on experience managing large-scale Kubernetes clusters on public cloud environments (AKS, EKS, or GKE) and a strong understanding of modern SRE and DevOps practices. You will be responsible for ensuring high availability, reliability, scalability, and performance of our cloud … systems. Key Responsibilities: • Manage, monitor, and optimize large-scale Kubernetes clusters hosted on public cloud platforms (Azure AKS, AWS EKS, or Google GKE). • Implement and maintain infrastructure as code using tools such as Terraform. • Collaborate with development and operations teams to improve system reliability and deployment automation. ...

client is a leading global investment bank. JOB DESCRIPTION We have a Lead Site Reliability Engineer (SRE) opportunity within our Google Cloud Site Reliability Engineering team. As a Lead Site Reliability Engineer at our client within the Infrastructure Platform - Cloud Foundational Services SRE organization, you will join our Google … capabilities, and skills: Google & Azure cloud expertise in a mission critical production environment Strong understanding about container technologies such as Docker, Kubernetes, GKE and HELM Experiencein programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIs Hands-on experience ...

Strong programming skills in Python, Go, or Node.js for API and microservice development. Experience designing and deploying cloud-native APIs (Cloud Run, Cloud Functions, GKE). Deep understanding of event-driven architectures, Pub/Sub, message processing, and workflow automation. Strong knowledge of OAuth2, OIDC, JWT, SAML, and identity federation … Professional Cloud Security Engineer or Cloud Architect certification. Experience with additional identity providers (Okta, Azure AD, Ping Identity). Familiarity with Kubernetes (GKE RBAC + workload identity). Experience using Secret Manager, Vault, or other secrets management tools. Knowledge of compliance frameworks (SOC2, ISO 27001, PCI, HIPAA). ...

Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps …/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate ...

Engineering & Cloud Computing Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps …/LLMOps Pipelines Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate ...

Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps …/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate ...

Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps …/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/Vertex AI Pipelines). Team Leadership & Mentorship: Extensive experience leading technical delivery, defining engineering milestones, running code reviews, and successfully mentoring junior or intermediate ...

Engineer (SRE) III – Platform Engineering & Systems Reliability The Role: CME Group is seeking a Site Reliability Engineer (SRE) III to engineer reliability for our Google Cloud (GCP) infrastructure, Middleware Platform Engineering team, and core technology foundations powering our Clearing, Risk, and derivatives applications. In this role, you will help … Java, or Bash to construct production-grade tooling. Cloud Native & Systems Fundamentals: Proficiency with Linux-based systems, distributed systems, containerization (Kubernetes/GKE), and public cloud platforms (GCP/GCE). Infrastructure as Code (IaC): Understanding of modern CI/CD patterns and IaC tools such as Terraform, Ansible ...

Event-driven architecture, and API Management. Strong knowledge of IAM concepts, Forgerock, authentication/authorization mechanisms, and security best practices. Experience with Kubernetes (GKE), Docker, Terraform, and CI/CD pipelines. Strong problem-solving, communication, and leadership skills. Experience with GraphQL, gRPC, and Service Mesh (Istio/Linkerd). ...

adoption, reuse, and measurable outcomes. Practical cloud native experience Preferred qualifications, capabilities, and skills Experience in Infrastructure Architecture designs Experience in AWS EKS, GCP GKE ecosystems a plus Knowledge of industry-wide technology trends and best practices Knowledge of multiple Cloud Platforms Proficiency in database technology such as Oracle/ ...

adoption, reuse, and measurable outcomes. Practical cloud native experience Preferred qualifications, capabilities, and skills Experience in Infrastructure Architecture designs Experience in AWS EKS, GCP GKE ecosystems a plus Knowledge of industry‐wide technology trends and best practices Knowledge of multiple Cloud Platforms Proficiency in database technology such as Oracle/ ...

platform estate Write automation and integrations to reduce manual toil Manage infrastructure as code with Terraform; containerise services with Docker on Kubernetes (GKE) hosted on GCP Participate in on-call services as a technical escalation point Build dashboards and alerts to monitor pipeline reliability Coach and mentor colleagues across ...

platform estate Write automation and integrations to reduce manual toil Manage infrastructure as code with Terraform; containerise services with Docker on Kubernetes (GKE) hosted on GCP Participate in on-call services as a technical escalation point Build dashboards and alerts to monitor pipeline reliability Coach and mentor colleagues across ...

platform estate Write automation and integrations to reduce manual toil Manage infrastructure as code with Terraform; containerise services with Docker on Kubernetes (GKE) hosted on GCP Participate in on-call services as a technical escalation point Build dashboards and alerts to monitor pipeline reliability Coach and mentor colleagues across ...

platform estate Write automation and integrations to reduce manual toil Manage infrastructure as code with Terraform; containerise services with Docker on Kubernetes (GKE) hosted on GCP Participate in on-call services as a technical escalation point Build dashboards and alerts to monitor pipeline reliability Coach and mentor colleagues across ...

VNETs/VPCs, routing, DNS, load balancing, firewalls). Deep knowledge of infrastructure-as-code and automation tooling. Experience with container platforms (AKS, EKS, GKE, Kubernetes) and serverless architectures. Strong background in identity and access management (Azure AD, IAM, RBAC). Proven experience building scalable, resilient, and secure cloud ...

leaders on safe adoption, reuse, and measurable outcomes. Practical cloud native experiencePreferred qualifications, capabilities, and skillsExperience in Infrastructure Architecture designsExperience in AWS EKS, GCP GKE ecosystems a plusKnowledge of industry-wide technology trends and best practicesKnowledge of multiple Cloud PlatformsProficiency in database technology such as Oracle/MS SQL/ ...

maintain Google Cloud infrastructure using Infrastructure as Code (primarily Terraform), ensuring repeatable and version-controlled environmentsBuild and manage containerised workloads using Docker, GKE, and Cloud Run, alongside production-grade CI/CD pipelinesDesign, build, and maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc, Pub/… Google Cloud Platform across infrastructure, data, and application domainsStrong hands-on experience with Infrastructure as Code (Terraform), containerisation (Docker, Kubernetes/GKE), and CI/CD tools (e.g. Jenkins, Cloud Build, GitHub Actions, GoCD)Solid understanding of cloud networking and security fundamentals, including VPCs, IAM, firewall rules, encryption ...

modernising our technology and building a cloud platform that is fast, secure, resilient and sustainable. As a Cloud Platform DevOps Engineer specialising in Google Cloud Platform networking, you’ll play a pivotal role in developing, optimising and operating the networking foundations that underpin our transformation This is a fantastic … driving the delivery of technical platforms in enterprise environmentsExperience reviewing and providing feedback on peer code changesBasic understanding of GCP connected workloads such as GKE, Compute Engine, Cloud SQL, Storage and Google Data/AI productsProven ability to develop, deploy and own end‐to‐end product lifecycle within ...