1 to 25 of 104 Google Kubernetes Engine Jobs in the UK

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 ...

real-time processing of email exchanges in the shipping market Our Stack Google Cloud Platform - primarily PaaS services (Bigtable, Cloud SQL, Dataflow, Datastore, GKE, GCS, KMS, Pub/Sub) Amazon Web Services - multi-region, multi-account, with a broad range of managed services Containers and orchestration - Kubernetes (GKE … Google Cloud Platform services and architecture, including running production workloads at scale Production Kubernetes experience, particularly Google Kubernetes Engine (GKE) Proficiency with Infrastructure-as-Code, preferably Terraform with the GCP provider Experience with Google Cloud networking, including VPC, Cloud Load Balancing, and Cloud ...

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. ...

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 … 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 ...

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 ...

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 ...

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 ...

Senior GCP Cloud Engineer (Contract, SC) - Kubernetes/GKE/Air-Gapped THE SHORT VERSION A UK technology business building AI systems for regulated, security-sensitive environments is standing up a new data platform on Google Cloud, and needs someone to own the ground it runs on. GKE … Design, build and operate secure, resilient infrastructure on Google Cloud for regulated and air-gapped environments. Build and maintain Kubernetes clusters on GKE, including the split edge and central topology and the replication between them. Own infrastructure as code, CI/CD pipelines and automated, repeatable deployments. Implement ...

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 ...

have a Lead Site Reliability Engineer (SRE) opportunity within our Google Cloud Site Reliability Engineering team. As a Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platform - Cloud Foundational Services SRE organization, you will join our Google Cloud Site Reliability Engineering team operating within a global … 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 Experience in programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIs Hands ...

hackajob is partnering directly with JPMorganChase to hire for this role. 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 JPMorgan Chase within the Infrastructure Platform - Cloud Foundational Services SRE organization … 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 ...

seeking a highly skilled GCP DevSecOps Engineer to help design, implement, and secure cloud-native infrastructure and deployment pipelines on Google Cloud Platform (GCP). You will be responsible for integrating security throughout the software development lifecycle while enabling rapid, scalable, and reliable application delivery. This role is ideal … compliance checks into CI/CD pipelines Monitor cloud environments and optimize performance, availability, and cost Manage containerized workloads using Docker and Kubernetes (GKE) Implement logging, monitoring, and alerting solutions Collaborate with developers, security teams, and architects to ensure secure delivery practices Support incident response, troubleshooting, and root cause ...

J.P. Morgan is seeking a Lead Site Reliability Engineer to join our Google Cloud SRE team within the Infrastructure Platform. You will drive reliability across global Google Cloud environments … lead DevOps practices to automate and scale services. You will bring strong cloud expertise (Google Cloud, Azure), container tech (Docker, Kubernetes, GKE, Helm), programming (Python/Go), and a focus on observability, incident response, and AI-assisted SRE workflows to improve resilience and efficiency. #J-18808-Ljbffr ...

maintain Google Cloud infrastructure using Infrastructure as Code (primarily Terraform), ensuring repeatable and version‐controlled environments Build and manage containerised workloads using Docker, GKE, and Cloud Run, alongside production‐grade CI/CD pipelines Design, build, and maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc … Google Cloud Platform across infrastructure, data, and application domains Strong 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 ...

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 ...