1 to 25 of 45 Google Kubernetes Engine Jobs in the UK excluding London

Location: Bristol, England, United Kingdom Salary: Not disclosed Description Methods Analytics (MA) is recruiting for a Senior DevOps Engineer with strong cloud and Kubernetes experiences to join our team a permanent basis. This role will be hybrid, requiring flexibility to regular travel to our client sites in the Southwest … management on Kubernetes platforms such as Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), or Oracle Kubernetes Engine (OKE), ensuring seamless integration across development, pre-production, and production environments. Embed DevSecOps practices into the development lifecycle, ensuring More ❯

Contract GCP DevOps Engineer Duration: 3 months IR35: Outside IR35 Location: Remote Working Contract DevOps Engineer with extensive experience and background in Google Cloud Platform (GCP) is required to join our client for an initial 3-month contract. The role will be fully remote working and is deemed outside … an experienced GCP DevOps Engineer to step in and analyse, audit, and optimise their Google Cloud Platform infrastructure. They're running Kubernetes (GKE) workloads and want to ensure their platform is efficient, secure and scalable. This is a hands-on role for a cloud engineer who thrives in … GCP - deep knowledge of core services: Compute Engine, Cloud Storage, VPC, IAM, Logging/Monitoring (Cloud Operations) Google Kubernetes Engine (GKE) Cloudflare Terraform CI/CD pipelines Networking concepts, technologies, and protocols Stakeholder management Excellent communication skills If you are suitable and interested in this opportunity More ❯

that is quick, secure and resilient for customers and easy, modern and green for developers. Our core technology focus is on Microsoft Azure and Google Cloud Platform. We are … particularly interested in people with experience in one or more of the following: Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Windows Server, Red Hat Enterprise Linux (RHEL), Terraform, Azure Arc, Azure Policy, Apigee, Azure API Management, Harness, Backstage, VMware Aria Suite, Kafka and modern middleware … knowledge. What you'll need You should have experience of at least two or more of the following: Delivery experience of Cloud related products Google or Azure The Google Cloud Data Science product set Improving the Developer Experience e.g. Streamlining and simplifying the Onboarding and time to being More ❯

that is quick, secure and resilient for customers and easy, modern and green for developers. Our core technology focus is on Microsoft Azure and Google Cloud Platform. We are … particularly interested in people with experience in one or more of the following: Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Windows Server, Red Hat Enterprise Linux (RHEL), Terraform, Azure Arc, Azure Policy, Apigee, Azure API Management, Harness, Backstage, VMware Aria Suite, Kafka and modern middleware … knowledge. What you'll need You should have experience of at least two or more of the following: Delivery experience of Cloud related products Google or Azure The Google Cloud Data Science product set Improving the Developer Experience e.g. Streamlining and simplifying the Onboarding and time to being More ❯

that is quick, secure and resilient for customers and easy, modern and green for developers. Our core technology focus is on Microsoft Azure and Google Cloud Platform. We are … particularly interested in people with experience in one or more of the following: Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Windows Server, Red Hat Enterprise Linux (RHEL), Terraform, Azure Arc, Azure Policy, Apigee, Azure API Management, Harness, Backstage, VMware Aria Suite, Kafka and modern middleware … knowledge. What you'll need You should have experience of at least two or more of the following: Delivery experience of Cloud related products Google or Azure The Google Cloud Data Science product set Improving the Developer Experience e.g. Streamlining and simplifying the Onboarding and time to being More ❯

transformative AI-powered cloud solutions for our global clients. In this dynamic role, you’ll act as a strategic advisor, leveraging your expertise in Google Cloud’s cutting-edge AI/ML technologies to empower businesses. You’ll collaborate with cross-functional teams, including marketing and account management, to … to identify opportunities for optimization. Design and deliver tailored cloud migration and AI implementation strategies aligned with client business goals. Provide expert consultation on Google Cloud AI/ML tools, including Vertex AI, BigQuery ML, Document AI, and Natural Language AI. Facilitate discovery workshops to uncover client needs and … Proficiency in ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Expertise in container orchestration for AI workloads using Google Kubernetes Engine (GKE) or Kubernetes. Background in software engineering, data science, or AI model development. Experience designing and delivering training programs for technical and non-technical audiences. Ability More ❯

DevOps journey. Growth/Development Opportunities: Work with a wide variety of cloud services and modern DevOps toolchains. Gain experience across Azure, GCP, AWS, Kubernetes, CI/CD pipelines, and infrastructure as code. Influence and shape DevOps practices and culture at a global, human-centred consultancy. Exposure to projects … efficiency of DevOps tools and practices. Continuous improvement in CI/CD performance and incident response time. About you: Extensive experience with Azure or Google Cloud Platform, either in a commercial setting or private projects, with knowledge of alternative cloud providers such as AWS an advantage. Comfortable with Linux … Cloud IAM, Organisation Policy Service, Firebase Authentication, Identity Platform, Cloud KMS, Certificate Manager, VPC, Cloud Storage, Cloud CDN, pub/sub, Cloud SQL, Compute Engine, Google Kubernetes Engine, Cloud Run. OR Experience with Azure features such as Azure Active Directory, RBAC, Azure Policy, Azure AD B2C More ❯

that our products are not only reliable and performant, but also cost-efficient. Our platform is built on Google Kubernetes Engine (GKE) and utilizes several other Google technologies such as Memorystore, Cloud Datastore, PubSub, Cloud Functions, BigQuery, and Vertex AI, as well as services from other … Qualifications Minimum of five (5) years experience as a Site Reliability Engineer, or DevOps Engineer Experience designing, analyzing, and troubleshooting distributed systems Experience maintaining Kubernetes clusters in a production environment More ❯

use in the role: AWS & GCP and various services, including AWS ECS, EC2, Fargate, Lambda, and GCP Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Terraform for IaC Docker Kubernetes Linux (sysadmin including firewalls and hardening) Web Server Config (Apache, Nginx) Database management (MongoDB More ❯

of a collaborative team, your tasks will include: Designing and improving CI/CD pipelines to enhance software delivery. Implementing and managing cloud infrastructure (Google Cloud Platform, Kubernetes, Docker). Automating workflows and identifying performance bottlenecks. Optimizing monitoring and alerting systems for proactive issue resolution. Ensuring security and … At least three years of experience as a DevOps Engineer. Experience with cloud technologies , such as Google Cloud Platform (GCP) and Kubernetes (GKE). Knowledge of CI/CD tools , such as Bitbucket Pipelines or similar platforms. Familiarity with security and compliance standards (e.g., PCI-DSS, Snyk, SonarCloud More ❯

Understanding of the various data solutions (like OLAPs, OLTP, graph, no-SQL etc.) and respective applications. • Containers and building container-based platforms using Docker, GKE, AKS etc. • DevOps/automation experience (CI, CD, Observability, Aggregated Logging & Engineering Metrics) • Quality Engineering (e.g., Test Pyramid, Automated Testing etc.) • Non-functional testing (e.g. More ❯

understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had Experience in Spring More ❯

understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had Experience in Spring More ❯

understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had Experience in Spring More ❯

understanding of API Gateways (e.g. APIGEE) Building applications utilising container technologies e.g. Docker Managing application deployed to Kubernetes clusters, Istio & Helm Cloud: GCP, GKE, IaC (Terraform) Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube It would be great if you also had Experience in Spring More ❯

control, and CI/CD workflows. Strong understanding of model performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as … Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. Benefits: Competitive salary and bonus scheme Hybrid working Rentokil Initial Reward Scheme 23 days holiday, plus More ❯

control, and CI/CD workflows. Strong understanding of model performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines. Cloud Computing (Google Cloud Platform - GCP Preferred) Hands-on experience with GCP services such as … Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications. Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices. Benefits: Competitive salary and bonus scheme. Hybrid working. Rentokil Initial Reward Scheme. 23 days holiday, plus More ❯

Azure, AWS) Good understanding of GCP Infrastructure setup with VPC Network, FW, LoadBalancer and GCP Services Experience in developing and deploying applications in GCP GKE Experience with Terraform, CloudBuild, CloudDeploy, GitHub and CI/CD processes Knowledge to setup monitoring tools and dashboards Experience with Agile development methodologies. Knowledge of More ❯

on your team. We enjoy the big picture and the detail; we want people who excel at both. Extensive experience with GCP services, particularly GKE, Cloud Run, and Cloud Functions Strong background in Java development with additional expertise in Python/Go/TypeScript Deep understanding of NATS and message More ❯

from the start. What you will do: Design, maintain, and evolve infrastructure by leading both high-level and low-level designs in GCP and GKE to ensure performance, security, availability, and reliability at every layer Optimize cloud resources by monitoring and managing usage for cost efficiency without compromising performance Implement … Hands-on skills with observability tools (Prometheus, Grafana, ELK stack, OpenTelemetry) and logging pipelines (Kibana, Elasticsearch). Expertise in Docker and container orchestration using Kubernetes (preferably on GCP) and Helm. Familiarity with CI/CD systems and version control (Bitbucket Pipelines, ArgoCD). Solid understanding of Linux systems administration … Automation & IaC : Bash, Python, GoLang, Terraform Observability : Elasticsearch, Kibana, FluentD; Prometheus, Grafana; Jaeger, Grafana Tempo CI/CD : Bitbucket Pipelines, ArgoCD Containerization & Orchestration : Docker, Kubernetes, Helm Security : SOPS, Okta, TFsec, Trivy, Istio Stateful Services : PostgreSQL, TimescaleDB, Redis Sentinel, Kafka, NATS Networking : Nginx, Ingress-Nginx Collaboration : Slack, Google Meet More ❯

the Data Engineering ecosystem: We primarily work in python, go and SQL. Our code (tracked via github) deploys to GCP (Bigquery, Airflow/Composer, GKE, Cloud Run), dbt Cloud and Azure via terraform. We recognise this is a broad list; if youre not deeply familiar with some of these tools More ❯

with industry regulations and best practices . Provide technical mentorship and leadership to engineering teams. Support multi-cloud and hybrid-cloud deployments (Azure, AWS, Google Cloud). Required Skills and Experience 6+ years of experience in cloud architecture and infrastructure engineering . Expertise in cloud solutions design and large … tools such as Terraform, Ansible, and Kubernetes. Strong communication and stakeholder management skills . Expertise in at least one major cloud provider (AWS, Azure, Google Cloud). Preferred Skills and Certifications Cloud certifications (AWS, Azure, Google Cloud). Knowledge of … API integration, network security, and storage solutions . Experience in regulatory compliance frameworks (PCI-DSS, Financial Services, etc.). Expertise in Kubernetes solutions (GKE, AKS, EKS, OpenShift). Ability to optimize cloud services using FinOps and SRE principles . Benefits £100,000 - £118,000 + Bonus More ❯

Senior Site Reliability Engineer (GCP, Kubernetes) About the role: Take charge of ensuring our data-intensive infrastructure is robust, secure, scalable, and optimized for exceptional performance, delivering best experiences for our customers. As an SRE, you'll champion best practices across teams, shaping the future of our technological landscape. … defining and leading the SRE vision and strategy, ensuring alignment with business objectives and engineering priorities. Architect, maintain, and develop infrastructure within GCP and GKE - on high and low-level design for performance at all levels and with security, availability and reliability at the core of it. Develop automated solutions … DNS, SSH, TCP/IP, REST). Hands-on experience with Docker containerization. Familiarity with CI/CD systems and version control. Expertise in Kubernetes and Helm. Experience with public cloud platforms (GCP, AWS, or Azure). Proven ability to implement redundancy and disaster recovery scenarios. Track record in More ❯

is eligible for inclusion in the Company’s hybrid working from home policy. Preferred Skills, Qualifications and Experience Prior public cloud experience, preferably with Google Cloud. Strong core platform knowledge in Projects and Folders, IAM and Billing. Proficiency operating with Infrastructure as Code (IaC) using industry standard tooling, preferably … automation and scripting using tools such as G-Cloud, CLI, Bash, Python and Golang. Experience of modern platform stacks such as Kubernetes or GKE, as well as affiliated technologies and workflows including service mesh/ingress, CI/CD, monitoring stacks and security instruments. Experience of using and managing More ❯

is eligible for inclusion in the Company’s hybrid working from home policy. Preferred Skills, Qualifications and Experience Prior public cloud experience, preferably with Google Cloud. Strong core platform knowledge in Projects and Folders, IAM and Billing. Proficiency operating with Infrastructure as Code (IaC) using industry standard tooling, preferably … automation and scripting using tools such as G-Cloud, CLI, Bash, Python and Golang. Experience of modern platform stacks such as Kubernetes or GKE, as well as affiliated technologies and workflows including service mesh/ingress, CI/CD, monitoring stacks and security instruments. Experience of using and managing More ❯