25 of 25 Google Kubernetes Engine Jobs in the UK

Help plan and execute the integration of our current infrastructure into TransUnion's group-wide cloud platform while minimising disruptions. Participate in the migration of infrastructure from AWS to Google Cloud Platform (GCP), ensuring a smooth transition and leveraging GCP services effectively. DevOps & Security: Maintain robust CI/CD pipelines, collaborating closely with development teams to streamline deployment processes. … experience managing cloud providers, with significant experience in AWS and Google Cloud Platform (GCP). Familiarity with GCP services such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Familiarity with configuration management and IT automation tools. Strong understanding of DevOps and SRE principles. Soft Skills: Self-motivated, highly organised, and capable of driving 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 ❯

other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Cloud experience (e.g. Google Cloud and cloud run essential) including core web application infrastructure is essential CSED backend Demonstrated experience of Python backend development (e.g. using FastAPI) React frontend experience ideally Strong skills … software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Hosting: GCP (GKE and Cloud Run) essential Deployment: Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological … genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and Google Kubernetes Engine would be an advantage More ❯

other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products Basic qualifications: Cloud experience (e.g. Google Cloud and cloud run essential) including core web application infrastructure is essential CSED backend Demonstrated experience of Python backend development (e.g. using FastAPI) React frontend experience ideally Strong skills … software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy often Hosting: GCP (GKE and Cloud Run) essential Deployment: Terraform and GitHub Actions - essential Agile Methodology Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological … genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and Google Kubernetes Engine would be an advantage More ❯

We're also exploring how we can leverage AI to deliver an even better experience for our customers. We run a cloud-first environment and make use of many Google Cloud Platform tools such as Firestore, Google Kubernetes Engine, PubSub and Cloud SQL to build a reliable and performant platform with services implemented using Typescript. This More ❯

GCP Architect - Manager £75,000 to 90,000 GBP Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Role: Google Cloud Architecture Manager Location: London or Manchester (Hybrid) Salary: £75,000 - £90,000 + benefits Clearance: Must hold active SC security clearance Overview We are seeking an experienced Google Cloud Architecture Manager to lead the … design, delivery, and operation of enterprise-grade cloud solutions. This position involves driving the technical architecture of large-scale Google Cloud projects, managing teams of engineers and architects, and ensuring that solutions are secure, scalable, and aligned to business objectives. The ideal candidate will bring deep expertise in Google Cloud Platform (GCP) , strong leadership capabilities, and hands-on … Experience Required Active SC Security Clearance (essential). Professional-level Google Cloud certification required. Proven expertise in Google Cloud Platform services (Compute Engine, App Engine, GKE, Cloud Storage, IAM, VPC, etc.). Strong experience in architecting and engineering cloud-based solutions that meet both functional and non-functional requirements. Solid understanding of cloud networking and security More ❯

their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients. XiP Compute Services are deployed onto OpenShift and Amazon's Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google's Kubernetes Engine to further expand our coverage. Our system scales on-demand, and … members, allocating and overseeing work: Mentor and guide mid-level developers, providing technical advice, code reviews, and career development support. Implement the new generation of Citi's Risk Calculation Engine: Participate in the design, development, and implementation of the next version of the XiP Risk Calculation Engine. Operationally support the optimization of Risk calculations by examining and providing SME … level insight into the distributed execution of extremely large calculations: Monitor and analyze the distributed execution of large-scale risk calculations. Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine. Provide specialized customer support to optimize and improve large, distributed calculations More ❯

Google Cloud Architect ££75,000 (London)/Up to £70,000 (National) GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Google Cloud Architect (Associate Manager) Location: London, Leeds, Manchester, or Birmingham (Hybrid) Salary: Up to £75,000 (London)/Up to £70,000 (National) + benefits Clearance: Requires Security Clearance Our client is a … and emerging technologies. Their teams combine strategy, engineering, and innovation to solve complex challenges at national scale - from digital infrastructure to secure government systems. They're now hiring a Google Cloud Architect (Associate Manager level) to join their UK Google Business Group. You'll work on high-impact public sector programmes, designing and delivering secure, sovereign Google … strategy and adoption. What you'll bring: At least one Google Cloud Professional certification. Strong experience across core GCP services - Compute Engine, App Engine, Cloud Storage, GKE, IAM, and VPC networking. Background in designing, documenting, and implementing secure cloud architectures. Solid understanding of Infrastructure-as-Code (Terraform), automation (CI/CD), and scripting (Python, Bash). Knowledge 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 ❯

Google Platform Engineer with strong GCP DevOps, Jenkins and/or Harness pipeline automation, Terraform, Python, GKE Location: [London] | Hybrid/Remote Duration: [3-6 months initial, likely long term extension] We're looking for an experienced Google Platform Engineer to lead a key migration project moving our CI/CD pipelines from Jenkins to Harness . If … you're passionate about automation, cloud native technologies and building scalable infrastructure on Google Cloud Platform (GCP) , we'd love to hear from you. What You'll Bring: CI/CD & DevOps Tooling … Deep hands-on experience with Jenkins , including: Shared Libraries SonarQube & Nexus integration Docker builds and image publishing Google Artifact Registry (GAR) integration Infrastructure & Cloud Strong knowledge of GCP : GKE , VPC networking, Firewall rules Virtual Data Centre (VDC) architecture Google Artifact Registry Scripting & Automation Terraform : Comfortable with IaC for GCP infrastructure and CI/CD components Python : Proficient in 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 ❯

CircleCI, Azure DevOps Pipelines Infrastructure-as-Code Terraform, Ansible, AWS CloudFormation, Pulumi Cloud Platforms AWS, Azure, GCP, or private cloud (OpenStack) Containerization Docker, Podman Orchestration Kubernetes (EKS, AKS, GKE), Helm, OpenShift Version Control Git, GitLab, Bitbucket Monitoring & Logging Prometheus, Grafana, ELK Stack, Splunk, Datadog Security & Compliance HashiCorp Vault, Snyk, SonarQube, Trivy, AWS IAM, CIS Benchmarks Configuration Mgmt. Ansible, Puppet More ❯

for cloud resource provisioning and management Proficiency with CI/CD pipelines and DevOps practices for data applications, including Git-based workflows and containerization/orchestration using Docker, ECS, GKE, or Kubernetes Platform and Architecture Skills Solid understanding of platform engineering concepts including observability, monitoring tools (CloudWatch, Prometheus, Grafana), and automated scaling Proven experience designing and supporting multi-tenant More ❯

SAST, DAST, SCA) and data validation gates. AI/ML Infrastructure Security: Harden and secure the underlying cloud infrastructure for AI/ML workloads, including GPU clusters, container orchestration (Kubernetes), and managed services (e.g., AWS SageMaker, Azure ML). Security by Design: Embed security controls into every stage of the ML lifecycle (data ingestion, feature store, model training, deployment … or GCP), including their AI/ML and security services. Proficiency in Infrastructure-as-Code (Terraform is highly preferred). Strong hands-on experience with Kubernetes (EKS, AKS, GKE) and container security (Docker). Security Fundamentals: Deep understanding of cloud security principles (Zero Trust, Least Privilege), IAM, network security, and encryption (at-rest and in-transit). Practical experience … industry regulations and standards (e.g., GDPR, PCI-DSS, SWIFT CSCF) and their technical implications. Qualifications & Experience (Preferred) Relevant security certifications (e.g., CISSP, CCSP, AWS/Azure Security Specialist). Kubernetes security certifications (e.g., CKS - Certified Kubernetes Security Specialist). Experience with security tools specifically for ML (e.g., IBM Adversarial Robustness Toolbox, Microsoft Counterfit). Knowledge of Model Risk 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 ❯

Google Platform Engineer with strong GCP DevOps, Jenkins and/or Harness pipeline automation, Terraform, Python, GKE Location: London Hybrid/Remote Duration: 3-6 months initial, likely long term extension We're looking for an experienced Google Platform Engineer to lead a key migration project moving our CI/CD pipelines from Jenkins to Harness click apply More ❯

Location: Manchester, hybrid Key Responsibilities Design, build, and maintain scalable backend services using Java, aligning with best practices for performance, reliability, and maintainability. Work with containerisation/orchestration technologies (Kubernetes) to deploy, manage, and scale services. Develop and maintain systems on Cloud Platform, leveraging cloud-native capabilities. Implement and manage message streaming/queuing architectures using Kafka (or similar … Java, Spring Boot, in enterprise-scale backend systems. Hands-on experience with Kubernetes, deploying microservices in production. Solid working knowledge of Cloud Platforms, including networking, storage, services like GKE, Pub/Sub, etc. In depth experience with Kafka: setting up clusters, producers/consumers, tuning, fault handling. Experience with microservices architecture, REST APIs, and distributed systems. Strong CI/ More ❯

Location: Manchester, hybrid Key Responsibilities Design, build, and maintain scalable backend services using Java, aligning with best practices for performance, reliability, and maintainability. Work with containerisation/orchestration technologies (Kubernetes) to deploy, manage, and scale services. Develop and maintain systems on Cloud Platform, leveraging cloud-native capabilities. Implement and manage message streaming/queuing architectures using Kafka (or similar … Java, Spring Boot, in enterprise-scale backend systems. Hands-on experience with Kubernetes, deploying microservices in production. Solid working knowledge of Cloud Platforms, including networking, storage, services like GKE, Pub/Sub, etc. In depth experience with Kafka: setting up clusters, producers/consumers, tuning, fault handling. Experience with microservices architecture, REST APIs, and distributed systems. Strong CI/ More ❯

in code review processes. Collaborating with frontend engineers to define interfaces and deliver product features. Working with DevOps/Platform teams on CI/CD, containerisation and deployment (Docker, Kubernetes or managed alternatives). Troubleshooting production issues and improving observability (logging, metrics, tracing). Contributing to technical design discussions and driving improvements to reliability and performance. Tech Stack & Skills … development practices and experience with pytest or equivalent. Experience working with RESTful APIs and/or GraphQL. Familiarity with containerisation and cloud deployment (Docker, Kubernetes/EKS/GKE or equivalent). Version control with Git and experience of CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.). Nice to have: Experience with async frameworks (FastAPI, Celery More ❯

focus on resilience, efficiency, and compliance. Platform Engineer Responsibilities Develop and maintain infrastructure-as-code solutions, primarily with Terraform Oversee and optimise Kubernetes clusters (with a focus on GKE ) Implement automation that reduces friction and operational overhead Provide expertise and guidance on cloud and containerisation best practices Ensure environments meet recognised compliance and security standards Build frameworks and documentation … that enable development teams to self-serve effectively Platform Engineer Requirements Strong track record working with Google Cloud Platform services and architecture Hands-on experience with large-scale Kubernetes environments Familiarity with Kubernetes toolchains such as Helm and kustomize Knowledge of GitOps methodologies and tools like ArgoCD Programming proficiency in Python and/or TypeScript Ability to 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 ❯

GCP DevOps Engineer (AI/ML) 12 Month Contract Hybrid, West Sussex Randstad is seeking a Google Cloud Platform Subject Matter Expert with a DevOps and AI/ML focus to design, automate, and secure next-generation cloud platforms for artificial intelligence and machine learning workloads. This position will involve combining deep GCP expertise with DevOps engineering to enable … scalable and automated AI solutions within highly regulated and security-sensitive environments. Essential Skills: Strong hands-on experience as a DevOps engineer with Google Cloud Platform. Proven expertise with AI/ML services on GCP, particularly Vertex AI, BigQuery ML, and TensorFlow. Solid understanding of MLOps principles, including building CI/CD pipelines for machine learning. Proficiency in Infrastructure … as Code (IaC) using Terraform. Experience deploying and managing AI/ML workloads with Kubernetes/GKE. Strong scripting skills in Python for ML and AI integration. Knowledge of cloud security, data privacy, and compliance for regulated environments. This is an urgent role, and the hiring team is actively shortlisting candidates. Please apply with your CV or email removed More ❯

Deep understanding of AWS, Azure, and GCP services, including compute (EC2, Lambda), networking (VPC, Transit Gateway), storage (S3, Blob), and container orchestration (ECS, Fargate, Kubernetes/EKS/GKE). - Familiarity with IaC tools such as Terraform, CloudFormation, and Helm for scalable deployments. AI/ML Fundamentals: - Knowledge of Natural Language Processing (NLP), model lifecycle management, and explainability techniques. … employer. Please note we are on the client's supplier list for this position. Useful Keywords Technical Presales Lead, Solutions Engineering, Pre-Sales Manager, Cloud Architecture, AWS, Azure, GCP, Kubernetes, ECS, Fargate, Terraform, AI/ML, NLP, Security Compliance, SOC2, ISO 27001, GDPR, SaaS, Enterprise Software, API Integrations, Player-Coach, Technical Leadership, Proof of Value, Enterprise Presales More ❯

Google Cloud Architecture Manager ££90,000 (London)/Up to £85,000 (National) GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Google Cloud Architecture Manager Location: London, Leeds, Manchester, or Birmingham (Hybrid) Salary: Up to £90,000 (London)/Up to £85,000 (National) + benefits Clearance: SC eligible - requires 5 years continuous UK … global consultancy delivering technology-led transformation across the public sector. They partner with government departments and critical service providers to design, build, and run secure, scalable digital infrastructure using Google Cloud and other enterprise technologies. They're looking for an experienced Google Cloud Architecture Manager to lead the design and delivery of large-scale cloud programmes within their … automation, Infrastructure-as-Code, and DevSecOps best practices. What you'll bring: Google Cloud Professional certification (Architect or similar). Deep experience in GCP architecture - Compute, Networking, IAM, GKE, and hybrid environments. Proven track record leading cloud delivery for enterprise or public sector clients. Strong understanding of IaC (Terraform), CI/CD, and secure platform engineering. Experience documenting architectures More ❯