1 to 25 of 75 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 … 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. ...

rotation —more details will be provided in the interview process. 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 ...

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 ...

issues in live systems. Experience designing and administering SQL databases, schema design, query performance, and day‐to‐day operational management. Hands‐on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency … observability that supports it. Infrastructure‐as‐code (e.g. Terraform) for provisioning and maintaining cloud environments. Experience developing and administering workloads on Kubernetes (e.g. GKE). Familiarity with GCP networking and security controls, VPC, VPC Service Controls (VPC‐SC), and private connectivity. Contributions to relevant open‐source projects. Knowledge ...

reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency … observability that supports it. Infrastructure-as-code (e.g. Terraform) for provisioning and maintaining cloud environments. Experience developing and administering workloads on Kubernetes (e.g. GKE). Familiarity with GCP networking and security controls - VPC, VPC Service Controls (VPC-SC), and private connectivity. Contributions to relevant open-source projects. Knowledge ...

drive automation, observability, security and platform reliability. Key Responsibilities Design, build and operate secure cloud infrastructure on Google Cloud. Own Kubernetes (GKE) platforms and container orchestration. Develop Infrastructure as Code using Terraform. Build and maintain CI/CD pipelines and deployment automation. Implement monitoring, logging and observability across … Actions/Jenkins Kafka Vault Keycloak What We’re Looking For Strong commercial experience building and operating production GCP environments. Deep Kubernetes and GKE expertise. Strong Terraform and Infrastructure as Code experience. Experience owning CI/CD pipelines and cloud automation. Security-conscious approach with experience delivering resilient cloud ...

Cloud Engineer to join a new data platform programme. This is a hands-on GCP contract role , with strong experience across Google Cloud, GKE/Kubernetes and Terraform essential. Experience working within air-gapped, restricted or disconnected environments is also highly desirable. You’ll be responsible for building … distributed and restricted environments. WHAT YOU’LL BE DOING Build and operate production infrastructure on Google Cloud Platform (GCP) . Work extensively with GKE and Kubernetes . Build and manage infrastructure using Terraform . Own CI/CD, automation, monitoring and observability. Support secure deployments across restricted ...

cloud-native software engineering and strict defense compliance—building 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. 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 ...

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 ...

also need you to contribute to developing the team, perhaps by sharing your expertise or mentoring teammates. QualificationsWhat We're Looking forPA is a Google Cloud Premier Partner and we create innovative solutions using the whole spectrum of Google Cloud products and services, as well as other leading … designing and delivering solutions on Google Cloud, perhaps using serverless products such as Cloud Run, or infrastructure such as Compute Engine and GKE, AI such as Vertex AI, ADK or Agent Engine, as well as data services such as: BigQuery, Spanner, Dataflow, Composer, Bigtable or CloudSQL.Ideally ...

also need you to contribute to developing the team, perhaps by sharing your expertise or mentoring teammates. QualificationsWhat We're Looking forPA is a Google Cloud Premier Partner and we create innovative solutions using the whole spectrum of Google Cloud products and services, as well as other leading … designing and delivering solutions on Google Cloud, perhaps using serverless products such as Cloud Run, or infrastructure such as Compute Engine and GKE, AI such as Vertex AI, ADK or Agent Engine, as well as data services such as: BigQuery, Spanner, Dataflow, Composer, Bigtable or CloudSQL.Ideally ...

potential tooling to cement your position in the field. You have expertise in AWS services (EC2, S3, RDS, etc.) and GCP services (Compute Engine, Kubernetes Engine, Cloud Storage, etc.). You have a demonstrable leadership proficiency in DevOps tools and practices including CI/CD, automation ...

where initiative and ownership are valuedTech StackBackend: TypeScript, Node.jsFrontend: TypeScript, React; React Native/Expo for mobileArchitecture: Clean Architecture, Domain-Driven DesignInfrastructure: Kubernetes (GKE), Google Cloud PlatformTooling: Modern DevOps, CI/CD pipelinesSome of the requirements: Strong experience with TypeScript, React, Node or similar modern stacksInterest in Clean … Domain-Driven DesignCommitment to clean, maintainable codeProduct-focused mindset — understanding the user and the problemSelf-starter attitude with the ability to work independentlyExperience with Kubernetes, CI/CD, or broader DevOps toolingExposure to React Native/ExpoExperience contributing to re-platforming or system-modernisation projectsDon't miss ...

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 ...

team you'll be working with: We are looking for a Google Cloud Platform Technical Architect to join our team as part of our ever-growing Cloud and Security Practice. Cloud services are core to our clients' journeys toward digital transformation, and increasingly play a critical role in enabling … combine architecture, engineering, automation, and emerging technology expertise to help make our customers' transformation needs a reality. What you'll be doing: The Google Cloud Platform Technical Architect is a customer-facing domain expert who applies broad technical skills to design and deliver modern cloud platforms, from cloud foundations ...

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 ...

existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain), and other AI/ML technologies to solve real‐world banking challenges. Operational Excellence: Implement and champion best‐in‐class engineering practices … Kafka Cloud & DevSecOps Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency) Containers: Docker, Kubernetes (GKE/EKS) IaC: Terraform CI/CD: GitHub Actions, Jenkins Observability: Splunk, ELK, Prometheus, Grafana Security & Compliance Secure coding, API security, Zero Trust Data privacy ...

existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real‐world banking challenges. Operational Excellence: Implement and champion best‐in‐class engineering practices … Kafka Cloud & DevSecOps Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency) Containers: Docker, Kubernetes (GKE/EKS) IaC: Terraform CI/CD: GitHub Actions, Jenkins Observability: Splunk, ELK, Prometheus, Grafana Security & Compliance Secure coding, API security, Zero Trust Data privacy ...

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 … qualifications, capabilities, and skills: Google & Azure cloud expertise in a mission critical production environmentStrong understanding about container technologies such as Docker, Kubernetes, GKE and HELMExperience in programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIsHands-on experience with ...

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 Experience in programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIs Hands ...

existing capabilities, influence roadmaps, and accelerate delivery. AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real-world banking challenges. Operational Excellence: Implement and champion best-in-class engineering practices …/Cassandra, KafkaCloud & DevSecOpsCloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency)Containers: Docker, Kubernetes (GKE/EKS)IaC: TerraformCI/CD: GitHub Actions, JenkinsObservability: Splunk, ELK, Prometheus, GrafanaSecurity & ComplianceSecure coding, API security, Zero TrustData privacy, encryption, access controlRegulatory compliance ...

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 ...