1 to 25 of 56 Remote/Hybrid Google Kubernetes Engine Jobs in the UK

Define cloud architecture patterns and engineering standards to support enterprise cloud adoption. Design and implement container platforms using Google Kubernetes Engine (GKE) and Azure Kubernetes Service (AKS).Define and enforce cloud governance frameworks covering identity, access management, networking, security and compliance. Design reusable and modular Infrastructure … Strong experience designing and implementing enterprise Cloud Landing Zones. Advanced Infrastructure as Code experience using Terraform and Terraform Cloud. Strong Kubernetes experience including GKE and AKS.Experience with containerisation and cloud native architectures. Knowledge of service mesh technologies including Istio. Strong understanding of cloud governance, IAM, networking and security. Experience ...

engineering landscape. Cloud Architecture & Operations Provide technical leadership and guidance on cloud architecture, best practices, and operational excellence. Support cloud-native services including: - GKE (Google Kubernetes Engine) - Cloud Run - Cloud Functions - Pub/Sub - Cloud SQL - Apigee - VPC Networking - IAM - Cloud Monitoring - Design resilient and observable systems … Reliability Engineering, or Cloud Infrastructure roles. - Significant experience operating highly available production systems at enterprise scale. - GCP Expertise (Essential) Strong hands-on experience with: - GKE (Google Kubernetes Engine) - Cloud Run - Cloud Functions - Pub/Sub - Cloud SQL - VPC Networking - IAM - Cloud Monitoring - Secret Manager - Cloud Storage - Infrastructure ...

agentic solutions. Proven experience in designing cloud enterprise solutions and supporting customer projects through completion. Strong proficiency in the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI). Advanced Python coding skills, including data structures, algorithms, and software design. Experience in automating infrastructure provisioning, DevOps … Google Cloud Professional ML Engineer certification. Technical Skills GCP Stack (Mandatory): AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE) Gemini Enterprise, Agent Platform (formerly Vertex AI) BigQuery, Cloud Run, Vertex AI Pipelines Programming: Advanced Python skills including data structures, algorithms, and software design patterns. ...

hands-on role for a specialist with a proven track record of designing, building, and automating security controls specifically for GCP, including hardened GKE clusters. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear from … deep understanding of GCP IAM and its limitations Experience with service-oriented architecture using containers, distributed systems and immutable infrastructure on GCP (including GKE, Compute Engine, Shared VPC and Cloud SQL) Expertise in Kubernetes, securing clusters (GKE) and meshes (Cilium is preferable), networking best practices and RBAC implementation ...

Engineer, you will help shape the future of our cloud security capability by developing and enhancing secure cloud platforms across AWS, Microsoft Azure, and Google Cloud Platform (GCP). Working closely with engineering, security, DevOps, and operational teams, you will contribute to cloud architecture designs, automate security remediation processes … firewall rules, and cloud load balancing. Experience with Cloud Logging, Cloud Monitoring, and Security Command Center. Familiarity with Google Kubernetes Engine (GKE) and cloud-native container orchestration. What Success Looks Like The successful candidate will demonstrate a proactive and security-first approach to cloud engineering, enabling ...

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 ...

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 ...

modern cloud-native software engineering and strict defense compliancebuilding automated, air-gapped platforms using Google Distributed Cloud air-gapped (GDC air-gapped) and GKE Enterprise capable of supporting tactical edge analytics and disconnected containerised workloads. Requirements Key Responsibilities Sovereign Infrastructure as Code (IaC): Design, build, and maintain enterprise-grade … environments and Sovereign Landing Zones using Terraform and Ansible. Kubernetes Orchestration: Manage, scale, and secure production GKE and GKE Enterprise clusters in air-gapped or low-bandwidth environments. High-Assurance Security Architecture: Implement Zero-Trust network topologies, Private Google Access, Service Controls, and IAM policies aligned with NCSC ...

dive into these intricate, interconnected systems. What You'll Do Build, optimise, and scale backend services powering real-time multiplayer gameplay Work with GKE, Helm, and Kubernetes to manage deployments and autoscaling for stateful game servers Improve observability: monitoring dashboards, alerting (Prometheus/Grafana or GCP Cloud Monitoring … resilience and prevent cascading failures across services Collaborate on architectural decisions with a small, senior engineering team Hands-on experience with Kubernetes (ideally GKE) in production Real experience scaling distributed systems under load. Worked with at least some of: MongoDB, PostgreSQL, Kafka, Redis, pub/sub systems Comfortable with ...

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. ...

high performance and ownership. Infrastructure Ownership: Drive the strategic direction for our infrastructure and platform ensuring robust management of our services like Kubernetes (GKE) clusters. Focus on continuous improvement, operational excellence, and innovation. Champion SRE Culture: Own availability and embed SRE principles across the organization, including defining SLOs, SLAs … teams in the infrastructure and SRE domains, with a track record of scaling platforms and people. Technical Expertise: Several years of deep expertise in Google Cloud Platform (GCP), Kubernetes, and Infrastructure-as-Code (Terraform/Terragrunt, Crossplane), with GitOps workflows using tools like ArgoCD. Reliability & Architecture: Solid understanding ...

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 ...

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 ...

Strong programming skills in Python Go or Nodejs for API and microservice development Experience designing and deploying cloudnative APIs Cloud Run Cloud Functions GKE Deep understanding of event driven architectures PubSub message processing and workflow automation Strong knowledge of OAuth2 OIDC JWT SAML and identity federation patterns Proficiency in Terraform … Google 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 Mandatory Skills: Node.js ...

VanRath is seeking a Senior DevOps Engineer to drive cloud migration into Google Cloud Platform, build scalable infrastructure and champion automation across CI/CD pipelines. The role blends hands-on engineering with project delivery and requires strong GCP expertise. Based in Manchester with hybrid onsite 2-3 days … week, the contract runs for 12 months and pays up to £500 per day Inside IR35. You'll work with GCP, Kubernetes (GKE), Terraform, Ansible, Linux, Bash/Python and cloud networking. #J-18808-Ljbffr ...

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 ...

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 ...