leading technology and innovation consultancy, supporting UK public sector clients in their cloud transformation journeys. This role sits within a highly skilled team dedicated to designing, engineering, and optimising Google Cloud Platform (GCP ) solutions that power large-scale, mission-critical systems. The successful candidate will play a key role in shaping cloud strategy, driving architectural excellence, and leading technical … delivery across complex digital environments. What You’ll Do As a Google Cloud Architect, the successful candidate will: Lead the technical architecture and delivery of Google Cloud solutions for public sector organisations. Design, deploy, and operate secure, scalable, and high-performing GCP environments. Provide technical leadership and mentorship to engineering teams to ensure successful project delivery. Apply deep … one Google Cloud Professional-level certification . Proven expertise across a range of Google Cloud services – such as Compute Engine, App Engine, Cloud Storage, and GKE – as well as broader IaaS technologies ( e.g. Kubernetes, systems virtualisation). Experience designing and engineering cloud-based architectures to meet business and operational objectives. Hands-on experience producing comprehensive More ❯
leading technology and innovation consultancy, supporting UK public sector clients in their cloud transformation journeys. This role sits within a highly skilled team dedicated to designing, engineering, and optimising Google Cloud Platform (GCP ) solutions that power large-scale, mission-critical systems. The successful candidate will play a key role in shaping cloud strategy, driving architectural excellence, and leading technical … delivery across complex digital environments. What You’ll Do As a Google Cloud Architect, the successful candidate will: Lead the technical architecture and delivery of Google Cloud solutions for public sector organisations. Design, deploy, and operate secure, scalable, and high-performing GCP environments. Provide technical leadership and mentorship to engineering teams to ensure successful project delivery. Apply deep … one Google Cloud Professional-level certification . Proven expertise across a range of Google Cloud services – such as Compute Engine, App Engine, Cloud Storage, and GKE – as well as broader IaaS technologies ( e.g. Kubernetes, systems virtualisation). Experience designing and engineering cloud-based architectures to meet business and operational objectives. Hands-on experience producing comprehensive More ❯
leading technology and innovation consultancy, supporting UK public sector clients in their cloud transformation journeys. This role sits within a highly skilled team dedicated to designing, engineering, and optimising Google Cloud Platform (GCP ) solutions that power large-scale, mission-critical systems. The successful candidate will play a key role in shaping cloud strategy, driving architectural excellence, and leading technical … delivery across complex digital environments. What You’ll Do As a Google Cloud Architect, the successful candidate will: Lead the technical architecture and delivery of Google Cloud solutions for public sector organisations. Design, deploy, and operate secure, scalable, and high-performing GCP environments. Provide technical leadership and mentorship to engineering teams to ensure successful project delivery. Apply deep … one Google Cloud Professional-level certification . Proven expertise across a range of Google Cloud services – such as Compute Engine, App Engine, Cloud Storage, and GKE – as well as broader IaaS technologies ( e.g. Kubernetes, systems virtualisation). Experience designing and engineering cloud-based architectures to meet business and operational objectives. Hands-on experience producing comprehensive More ❯
leading technology and innovation consultancy, supporting UK public sector clients in their cloud transformation journeys. This role sits within a highly skilled team dedicated to designing, engineering, and optimising Google Cloud Platform (GCP ) solutions that power large-scale, mission-critical systems. The successful candidate will play a key role in shaping cloud strategy, driving architectural excellence, and leading technical … delivery across complex digital environments. What You’ll Do As a Google Cloud Architect, the successful candidate will: Lead the technical architecture and delivery of Google Cloud solutions for public sector organisations. Design, deploy, and operate secure, scalable, and high-performing GCP environments. Provide technical leadership and mentorship to engineering teams to ensure successful project delivery. Apply deep … one Google Cloud Professional-level certification . Proven expertise across a range of Google Cloud services – such as Compute Engine, App Engine, Cloud Storage, and GKE – as well as broader IaaS technologies ( e.g. Kubernetes, systems virtualisation). Experience designing and engineering cloud-based architectures to meet business and operational objectives. Hands-on experience producing comprehensive More ❯
london (city of london), south east england, united kingdom
Anson McCade
leading technology and innovation consultancy, supporting UK public sector clients in their cloud transformation journeys. This role sits within a highly skilled team dedicated to designing, engineering, and optimising Google Cloud Platform (GCP ) solutions that power large-scale, mission-critical systems. The successful candidate will play a key role in shaping cloud strategy, driving architectural excellence, and leading technical … delivery across complex digital environments. What You’ll Do As a Google Cloud Architect, the successful candidate will: Lead the technical architecture and delivery of Google Cloud solutions for public sector organisations. Design, deploy, and operate secure, scalable, and high-performing GCP environments. Provide technical leadership and mentorship to engineering teams to ensure successful project delivery. Apply deep … one Google Cloud Professional-level certification . Proven expertise across a range of Google Cloud services – such as Compute Engine, App Engine, Cloud Storage, and GKE – as well as broader IaaS technologies ( e.g. Kubernetes, systems virtualisation). Experience designing and engineering cloud-based architectures to meet business and operational objectives. Hands-on experience producing comprehensive 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 ❯
and services in cloud and secure on-premises systems. • Build and maintain CI/CD pipelines and automated deployment processes. • Deliver containerised applications using Kubernetes (OpenShift, EKS, AKS, GKE, etc.) • Support testing processes including unit, integration, and system testing. • Troubleshoot complex issues across development and deployment environments. • Collaborate with software developers, infrastructure engineers, and stakeholders. • Mentor junior team members … Required qualifications to be successful in this role • Strong knowledge of public cloud platforms (AWS, Azure, GCP) and Infrastructure as Code (e.g., Terraform, CloudFormation). • Hands-on experience with Kubernetes and container orchestration (OpenShift, EKS, AKS, Rancher, etc.). • Proficient in modern development languages such as Python, Go, Java etc. • Background in systems engineering and integration. • Sound understanding of 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 ❯
or Google Cloud Platform. • Infrastructure Automation: Proficiency with Terraform, CloudFormation, Ansible or equivalent IaC tools. • Containerisation & Orchestration: Experience deploying and managing Docker and Kubernetes clusters (EKS, AKS, GKE or on prem). • Programming/Scripting: Competent in Python, Bash, PowerShell or similar, for automation and tooling. • Networking & Storage: Strong understanding of VPC architecture, subnets, firewalls, load balancers, and More ❯
heavy experience in at least one or more of: Docker, Kubernetes, Rancher Working experience with GCP cloud infrastructure/services Experience with infrastructure-as-code: Terraform Experience with GKE, Helm, and Harness Experience with Linux System Administration Understanding of high-availability, disaster-recovery, monitoring and logging at scale Deep hands-on Java (plus Spring framework). Nice to have … Python and Node.js Skills and Experience Consulting experience, preferably with major IT consulting Docker (DCA) or Kubernetes (CKAD) certification a plus Highly articulate with good communication skills across diverse groups, including stakeholders, engineers, business analysts, and teams Initiative to identify value work and execute delivery Demonstrated leadership through influencing stakeholders and up-skilling engineers Commercial awareness using pragmatic approach More ❯
Employment Type: Contract
Rate: From £350 to £400 per day Contract Inside IR35
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 ❯
testing coverage. Conduct API and web service testing using REST, Postman, curl, and related tools. Monitor and troubleshoot cloud services including Compute Engine, Cloud Storage, Pub/Sub, GKE/EKS, and networking components. Utilize logging, monitoring, and alerting tools to ensure system reliability and performance. Apply programming skills in Java, Go, and Groovy to support test development and 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 ❯
automation solutions using tools such as Ansible, Terraform and coding languages including Bash and PowerShell, as well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop … and implement DevOps practices, and mentor more junior team members internally. 💡 The successful candidate will: Architect and manage platforms for our public and private sector clients on Google Cloud Platform , AWS and Azure when needed Build CI/CD pipelines, automation (Ansible, Terraform), and containerised solutions Collaborate with data engineers, DevOps … teams, and clients to deliver secure, high-performing environments Drive innovation, mentor others, and implement best practices across cloud and DevOps ✅ Essential: Proven hands-on experience with GCP services (GKE, Compute, IAM, networking, etc.) Skills in infrastructure-as-code (Terraform), scripting (PowerShell, Python, Bash), and CI/CD Strong stakeholder communication and a proactive, collaborative mindset Alignment to Ntegra's More ❯
Minneapolis, Minnesota, United States Hybrid / WFH Options
Cognizant
As a Google AI Solution Architect you will make an impact as the primary point of contact for all Google AI domain-related queries and issues. You will be a valued member of the team and work collaboratively with management, team members and client. You will be responsible for designing, building, and deploying scalable, robust, multi-agent systems … using Google's Agent Development Kit (ADK), the Agent-to-Agent (A2A) protocol, and related tooling. You will partner with engineering teams, product stakeholders, and domain experts to translate business/functional requirements into agentic architectures that maximize modularity, reliability, and performance. You drive best practices for agent orchestration, inter-agent communication, state management, tool integrations, and cloud deployment … orchestration, state management, event-driven design Experience with agent frameworks or multi-agent/autonomous systems is a strong plus Familiarity with Google Cloud, serverless compute (Cloud Run, GKE, etc.), and scaling distributed applications Technical Skills Proficiency in Python (or other languages used for agent frameworks) Deep understanding of generative AI, LLMs, prompt engineering, chain-of-thought/planning More ❯
insights and analysis. This is a hands-on role which requires delivery expertise using Google Cloud Platform data technologies, particularly focussing on Cloud Storage, Big Query, using containerisation (GKE) and additionally Data Build Tool (DBT) for pipeline processing. Responsibilities Design and develop scalable, reliable, efficient and cost-effective data pipelines and ELT processes on the GCP platform. GCP Professional … with particular focus on Cloud storage and Big Query; GCP Professional Data Engineer certification Experience delivering on data warehousing, data lake or data lakehouse concepts Experience working with containerisation (GKE), Terraform, CI/CD automated code integration and deployment pipelines using Jenkins, Gitops and Harbour; In event streaming using Kafka, or Cloud Pub/Sub About working for us Our 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 ❯
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 ❯
london (city of london), south east england, united kingdom
Arrows
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 ❯
