1 to 25 of 60 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. ...

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 ...

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 ...

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 ...

Join us as a Software Engineer - Google Cloud Platform This is an opportunity for a driven Software Engineer to take on an exciting new career challenge Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions It’s a chance … design, through coding to testing, deployment and operations The skills you'll need We're looking for someone with hands-on experience of Google Cloud Platform developing, comfortable building and scaling solutions across the wider GCP ecosystem rather than any single component. You'll bring practical 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 ...

services organisation based in the UK. Within this role, the candidate must have a strong background of Google Cloud Platform (GCP), Kubernetes (GKE), and have experience working with CI/CD concepts and tools. Salary - Up to £72,000 + strong benefits (including share options worth over … required onsite Main Duties Design and deliver infrastructure as code solutions using Terraform, enabling scalable and secure environments Manage and deploy application workloads to GKE clusters using Helm charts, supporting best practices in workload isolation and service configurations Support the engineering community by defining infrastructure standards, reusable tooling, and shared ...

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 ...

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 ...

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 ...

/IP, DNS, Routing, Firewalls, VPNs, Load Balancers, Network Overlays, Network Segregation, and Peer-to-Peer communication . Support and manage Kubernetes platforms (GKE/EKS) . Build and maintain monitoring, alerting, and observability solutions. Perform incident response, problem management, and Root Cause Analysis (RCA). Automate operational tasks … tcpdump, and network troubleshooting tools . Strong knowledge of Network Overlays, Network Segmentation, and Kubernetes Networking . Hands-on experience with Kubernetes (GKE/EKS) . Experience with Dynatrace, or Cloud Monitoring tools . Python and Shell scripting expertise. Terraform and CI/CD experience. Strong Incident Management ...

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 ...

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 ...

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 ...

lifecycle. You’ll join a high-impact team responsible for securing a highly available, multi-tenant platform built on cloud-native infrastructure (GCP and Kubernetes), taking a proactive and automated approach to establishing the company’s foundational security posture and ensuring it meets and exceeds the standards required … infrastructure within GCP. Proficiency in API security: reviewing, defining patterns for, and upskilling engineers on secure API design. Expert knowledge of hardening Kubernetes (GKE) clusters, including network policies, container runtime security, and secrets management. Solid skills in writing, securing, and testing infrastructure as code using Terraform or OpenTofu. Hands ...

/CD pipelines Provide technical support to development teams to enable the efficient delivery of high‐quality services and applications Build and maintain Kubernetes clusters on‐prem and in cloud Access and IAM management in Google Cloud, Looker, BigQuery, etc. Database management (MySQL, PostgreSQL, MongoDB) Performance monitoring … infrastructure as code Qualifications and Skills Hands‐on experience with on‐prem sharded MongoDB cluster Extensive experience building, managing, and scaling Kubernetes clusters (GKE, manual Kubernetes, etc.) Extensive experience designing and building high‐availability, resilient infrastructure Experience setting up and maintaining monitoring, alerting, log collection (rsyslog, Grafana, Prometheus ...

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 ...

highly regulated financial services environment. Proven experience as a Cloud Architect with hands-on expertise in GCP and Azure. Strong knowledge of Kubernetes, GKE, and AKS for container orchestration. Expertise in Landing Zone design and optimization for enterprise-scale deployments. Advanced skills in Terraform/Terraform Cloud … Python scripting for automation. Understanding of policy-as-code frameworks (OPA, Sentinel) and cloud governance. Certifications: GCP Professional Cloud Architect, Azure Solutions Architect Expert, Kubernetes Certified. Good to have: Experience with IDE platforms for Cloud Engineering (e.g., Backstage). Please click apply ...