17 of 17 Permanent Google Kubernetes Engine Jobs in the UK excluding London

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes, CI/CD pipelines (e.g., Jenkins More ❯

Development: Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Google … reliable, and secure cloud-based solutions using GCP services. Translating business requirements into technical specifications. Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery. Implementing and managing GCP networking configurations. Using IaC tools like Terraform to automate infrastructure provisioning and management. Implementing and managing Continuous Integration More ❯

Development: Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Google … reliable, and secure cloud-based solutions using GCP services. Translating business requirements into technical specifications. Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery. Implementing and managing GCP networking configurations. Using IaC tools like Terraform to automate infrastructure provisioning and management. Implementing and managing Continuous Integration More ❯

Development: Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in Google Cloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools. Data Lakes: Build data lakes using Google Cloud services such as Big Query. Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Google … reliable, and secure cloud-based solutions using GCP services. Translating business requirements into technical specifications. Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery. Implementing and managing GCP networking configurations. Using IaC tools like Terraform to automate infrastructure provisioning and management. Implementing and managing Continuous Integration More ❯

GCP DevOps Engineer – (GCP, Google Cloud Platform, DevOps, CI/CD, GKE, Cloud Run, Cloud Build, Architecture, SRE, Kubernetes, Linux, Docker, Google) – Permanent – London/Hybrid Charles Simon Associates are recruiting for a GCP DevOps Engineer in London on an exclusive basis for our rapidly scaling business. Location: London/Hybrid Salary: Flexible, Dependant on Experience Are … . For clarity, you must be working on GCP currently to be right for this role. What You’ll Be Doing: Designing and implementing GCP infrastructure (Compute Engine, GKE, Cloud Run, Pub/Sub, Cloud Functions, BigQuery, etc.). Building CI/CD pipelines using tools like Cloud Build, GitHub Actions, or Jenkins. Automating infrastructure with Terraform (or equivalent … on experience with Google Cloud Platform (must have). Strong background in DevOps/SRE/Cloud Engineering. IaC expertise (Terraform preferred). Experience with Kubernetes/GKE and containerisation (Docker). Familiarity with CI/CD pipelines and tooling. Solid knowledge of Linux, networking, and cloud security best practices. Experience with scripting languages (Python, Bash, Go). More ❯

Active MOD DV - Must have DV in place, no scope for sponsorship Salary : £80,000 - £95,000 + Benefits An exciting opportunity has opened up to join one of Google Cloud's primary technical partners, as they push on with a new programme of work in the UK Defence sector, utilising cutting edge Cloud technologies. The role suits a … programme. As well as applying any existing GCP experience. About the role As a Cloud Architect you will be responsible for designing and advising on secure cloud architectures within Google Cloud Platform (GCP), ensuring compliance with UK and international standards. You will work with clients across sectors to assess risks, implement robust security controls, and guide secure cloud adoption … Terraform, Deployment Manager). Desirable: Google Cloud Professional Cloud Security Engineer certification. Experience with UK public sector or regulated industries (e.g. finance, healthcare). Familiarity with container security (GKE, Kubernetes RBAC, image scanning). Proficiency in scripting (Python, Bash) for automation and tooling. Experience with incident response in cloud-native environments. Previous consultancy experience within UK public sector More ❯

Cloud Security | Corsham Area | DV Cleared Are you an experienced GCP Security Consultant with a passion for designing secure cloud architectures and driving digital transformation? Join a high-growth Google Cloud consultancy where your expertise will directly impact mission-critical projects across the UK. Our client offers a dynamic, innovation-led environment focused on cutting-edge solutions in cloud … youll be part of a collaborative team that values technical excellence and continuous learning. About the Role Youll be responsible for designing and advising on secure cloud architectures within Google Cloud Platform (GCP), ensuring compliance with UK and international standards. Working across sectors, youll assess risks, implement robust security controls, and guide secure cloud adoption strategies. This role demands … CD pipeline security integration Infrastructure as Code (Terraform, Deployment Manager) Experience with SIEM tools (Splunk, Chronicle) Desirable: GCP Security Engineer certification, MOD experience, scripting (Python/Bash), container security (GKE, Kubernetes) Why Should a Candidate Apply This is a unique opportunity to work on high-impact cloud security projects in a fast-paced consultancy environment, where your skills will More ❯

automation tools to improve productivity. Work on both front-end interfaces and scalable back-end services. Support the design and deployment of microservices in GCP, particularly with Kubernetes (GKE). Manage cloud infrastructure using Infrastructure-as-Code (Terraform). Troubleshoot and support solutions in Linux environments. Follow best practices in coding, design, and software delivery. Implement CI/CD More ❯

automation tools to improve productivity. Work on both front-end interfaces and scalable back-end services. Support the design and deployment of microservices in GCP, particularly with Kubernetes (GKE). Manage cloud infrastructure using Infrastructure-as-Code (Terraform). Troubleshoot and support solutions in Linux environments. Follow best practices in coding, design, and software delivery. Implement CI/CD More ❯

automation tools to improve productivity. Work on both front-end interfaces and scalable back-end services. Support the design and deployment of microservices in GCP, particularly with Kubernetes (GKE). Manage cloud infrastructure using Infrastructure-as-Code (Terraform). Troubleshoot and support solutions in Linux environments. Follow best practices in coding, design, and software delivery. Implement CI/CD More ❯

DevOps and platform engineering , including: CI/CD pipelines (GitHub Actions, GitLab, Jenkins, Azure DevOps) Infrastructure as Code (Terraform, Ansible, CloudFormation) Containerisation and orchestration (Docker, Kubernetes, AKS, EKS, GKE) Cloud security, governance, and compliance frameworks Experience building and maintaining senior stakeholder relationships, presenting solutions, and driving consensus between business and technical teams. Track record of coaching, mentoring, and leading More ❯

reduce through automation Contribute to DR and systems resiliency testing & improvements Contribute own ideas and reliability improvement suggestions to the Product backlog Support the migration of markets applications to Google Cloud Platform (GCP) Act as a mentor to … L2 and L1 SRE colleagues What We're Looking for: Experience with Linux-based systems Experience with Cloud-based platform(s) - Google Cloud Platform, GCE, and/or GKE a bonus Understanding of application architectures and messaging protocols Competent programming/scripting skills (Python, Bash, etc.) Strong problem-solving and analytical abilities. Excellent communication and teamwork skills. Eagerness to … learn and adapt in a fast-paced trading environment. Desirable Experience with metrics & monitoring, OpenTelemetry, Splunk, Prometheus, Grafana, etc. Experience and knowledge of working with distributed systems Experience with Kubernetes Knowledge of networking (HTTP/TCP/UDP/IP). Experience in Financial markets. Experience working in an agile environment. Why CME Group: Be part of a global More ❯

maintain scalable, data-driven applications in Java 🛠️ Lead on requirements, design workshops, and solutioning 🤝 Mentor junior engineers and share best practices ☁️ Implement & optimise microservices and distributed systems on GCP (GKE, PubSub, BigQuery, Dataflow) using Docker & Kubernetes 🔄 Build and manage efficient data pipelines with streaming tech + relational/NoSQL databases ✅ Ensure high quality through robust unit, integration, and non … and stay ahead of emerging technologies 💡 What you’ll bring: 🔑 Strong Java & OOP experience 📊 Background in data platforms, frameworks & streaming technologies 🧩 Familiarity with microservices & distributed systems ☁️ Exposure to GCP (GKE, PubSub, BigQuery) 🗄️ Experience with relational/NoSQL databases 🐳 Proficiency with Docker & Kubernetes 🔄 Solid understanding of engineering best practices (CI/CD, Git, testing) 🧠 Problem-solving mindset & curiosity for new More ❯

maintain scalable, data-driven applications in Java 🛠️ Lead on requirements, design workshops, and solutioning 🤝 Mentor junior engineers and share best practices ☁️ Implement & optimise microservices and distributed systems on GCP (GKE, PubSub, BigQuery, Dataflow) using Docker & Kubernetes 🔄 Build and manage efficient data pipelines with streaming tech + relational/NoSQL databases ✅ Ensure high quality through robust unit, integration, and non … and stay ahead of emerging technologies 💡 What you’ll bring: 🔑 Strong Java & OOP experience 📊 Background in data platforms, frameworks & streaming technologies 🧩 Familiarity with microservices & distributed systems ☁️ Exposure to GCP (GKE, PubSub, BigQuery) 🗄️ Experience with relational/NoSQL databases 🐳 Proficiency with Docker & Kubernetes 🔄 Solid understanding of engineering best practices (CI/CD, Git, testing) 🧠 Problem-solving mindset & curiosity for new More ❯

maintain scalable, data-driven applications in Java 🛠️ Lead on requirements, design workshops, and solutioning 🤝 Mentor junior engineers and share best practices ☁️ Implement & optimise microservices and distributed systems on GCP (GKE, PubSub, BigQuery, Dataflow) using Docker & Kubernetes 🔄 Build and manage efficient data pipelines with streaming tech + relational/NoSQL databases ✅ Ensure high quality through robust unit, integration, and non … and stay ahead of emerging technologies 💡 What you’ll bring: 🔑 Strong Java & OOP experience 📊 Background in data platforms, frameworks & streaming technologies 🧩 Familiarity with microservices & distributed systems ☁️ Exposure to GCP (GKE, PubSub, BigQuery) 🗄️ Experience with relational/NoSQL databases 🐳 Proficiency with Docker & Kubernetes 🔄 Solid understanding of engineering best practices (CI/CD, Git, testing) 🧠 Problem-solving mindset & curiosity for new More ❯