11 of 11 Permanent Google Kubernetes Engine Jobs in the North of England

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 ...

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 ...

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 ...

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). ...

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). ...

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 ...

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 ...

join our Data & AI Engineering team. You’ll build, automate, and maintain scalable systems that support the full machine learning lifecycle. You will lead Kubernetes orchestration, CI/CD automation (including Harness), GPU optimisation, and large‐scale model deployment, owning the path from code commit to reliable, monitored production … branching models, protected merges, and code‐review workflows. It would be great if you had any of the following... Experience with GCP (e.g., GKE, Cloud Run, Pub/Sub, BigQuery) and Vertex AI (Endpoints, Pipelines, Model Monitoring, Feature Store). Hooks for prompt/version management, offline/online evaluation ...