10 of 10 Google Kubernetes Engine Jobs in London

Senior Google Cloud Consultant £80,000-£100,000 + London Hybrid + Excellent Benefits +Bonus London Hybrid | Technology Consultancy | Permanent A growing consultancy is expanding its cloud, data and AI capability and is looking for a commercially aware, client-facing Senior Google Cloud Consultant. You'll work across … Cloud Platform Deep expertise in Cloud Infrastructure, Data Engineering, or AI/ML Hands-on experience with services such as Compute Engine, GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Storage, Vertex AI Proven ability to produce architectural documentation and migration strategies Strong stakeholder engagement and consulting capability ...

Description: Mandatory Skills: GCP Network GCP Network JD: Must have- Key points to check in the resource Google networking Products, Terraform and Git hub Google Network - Cloud Router, DNS, HA VPN, Dedicated Interconnect, IP Address Management, Private Service Connect, Private Service Access, Google Load Balancer, Service Directory. … knowledge (including Dedicated Interconnect, VPC network peering, Cloud Routers, Firewalls, Google DNS, Cloud NAT, IAM and VPC SC), basic knowledge of connected workloads (GKE, Compute Engine, Cloud SQL, Storage buckets, Google Data AI products, etc.) and corresponding ancillary function such as Identity. Hands on participation in projects ...

Runtime, and LangChain, along with orchestration tools including Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus … Champion multi‐cloud architecture across Azure, AWS, and GCP. Ensure resilient, secure, and cost‐efficient deployments using Docker, Kubernetes (AKS/EKS/GKE), and Terraform/Bicep. Lead enterprise MLOps capabilities using Azure ML, SageMaker, Vertex AI, MLflow, and Kubeflow, integrated with CI/CD (GitHub Actions, Azure ...

workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments. Responsibilities Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices … hands-on experience in Google Cloud. Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering. Expert-level Kubernetes & GKE resource tuning. Hands-on experience with Dataflow pipelines and worker optimisation. Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator). Deep understanding of Cloud ...

understands how queries behave across hundreds of terabytes Has built production systems with Airflow/Composer , DBT , Terraform and Docker Is comfortable with GKE , Cloud Run or Cloud Functions Has worked with streaming systems built on Dataflow/Apache Beam Can work closely with non-technical stakeholders and shape solutions ...

backed services for AI workloads (e.g. inference, embeddings, or agent pipelines) in production Scale & operate production infrastructure · Deploy services on GCP (Cloud Run/GKE) or equivalent cloud infrastructure · Improve performance, reliability, and cost efficiency (latency, throughput, retries, backoffs) · Implement security-first patterns: auth flows, service-to-service auth ...

Experience with Monitoring infrastructure (ELK and Prometheus preferred) Database administration experience (MySql or PosgreSql preferred) Experience in container software administration (Docker, Podman, Kubernetes, GKE or Helm preferred) Working knowledge with TCP/IP, multicast, tcpdump, clocking (PTP, NTP) Ability to navigate network equipment command line If the described opportunity ...

workload identity, network security, and audit logging; support audits and remediation activities Manage internet-facing architecture – Provision and secure HTTPS load balancers, Cloud Run, GKE, DNS, certificates, and domain routing; own ingress, WAF, rate-limiting, and auth integration Enable product, data, and ML teams – Translate product and data requirements into … understanding of cloud networking (VPCs, subnets, routing, load balancers) and IAM/identity-based access models Experience with containerised and serverless workloads (Cloud Run, GKE, Docker) Practical experience implementing security controls in cloud environments (SOC 2, ISO 27001, HIPAA, or similar) Experience operating web-facing, security-sensitive systems Comfortable working ...

that are fully owned and managed within the platform. Programme Focus The programme focuses on: Establishing a robust, secure, and scalable data architecture on Google Cloud Platform (GCP) Creating in-house capabilities for data ingestion, transformation, storage, and consumption Enabling efficient extraction and integration of risk-related datasets Supporting … alerting Integrating Looker and enabling reporting for end-users within general guardrails Your Profile Essential Skills/Knowledge/Experience Python GCP Services GCS, GKE, BigQuery PySpark, DBT IAM Role & Groups CI/CD Tools Jenkins, Harness or equivalent Design & Architecture Data product design with in guard rails and estimating ...

Google Cloud Consultant (Cloud/Data/AI) Location: London (Hybrid) Salary: £50,000 - £70,000 + benefits Type: Permanent 83zero are partnered with a leading technology consultancy that helps organisations modernise their digital platforms and unlock value through cloud, data, and AI technologies. Due to continued growth, they … Essential Experience working with Google Cloud Platform (GCP) in a professional environment Exposure to GCP services such as Compute Engine, Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, or Vertex AI Experience supporting the implementation of cloud infrastructure or data platforms Understanding of Infrastructure-as-Code , ideally ...