76 to 88 of 88 Google Kubernetes Engine Jobs in London

to the team as necessary. Your Profile Essential experience: Experience in Python and Spark development. Experience in Google Cloud tech stack: Cloud Run, Big Query, Cloud Functions, PubSub, GKE CI/CD pipeline. The ability to design the efficient solutions, make them go through review process and secure approvals for actual implementation. A team player Desirable knowledge & experience: Hands More ❯

AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google Cloud technologies. Key Responsibilities: • Architect retail-centric solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for … AI agent frameworks (e.g., Dialogflow, LangChain, or custom agent orchestration solutions). • Strong understanding of retail data ecosystems, POS integration, and customer engagement analytics. • Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store). • Proficiency in Python and strong experience with AI/ML frameworks (e.g. … Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with More ❯

AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google Cloud technologies. Key Responsibilities: • Architect retail-centric solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for … AI agent frameworks (e.g., Dialogflow, LangChain, or custom agent orchestration solutions). • Strong understanding of retail data ecosystems, POS integration, and customer engagement analytics. • Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store). • Proficiency in Python and strong experience with AI/ML frameworks (e.g. … Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and impactful AI solutions. • Google Professional Cloud Architect certification Preferred Qualifications: • Google Cloud Machine Learning Engineer or equivalent. • Experience leading digital transformation or AI/ML adoption in enterprise retail environments. • Familiarity with More ❯

and LDAP schemas Connector development, resource configuration, and SDK usage Development of user journeys, workflows, and IDM components Integration with reporting platforms and backend systems Cloud setup experience (Docker, GKE, Terraform) Understanding of authentication protocols, OAuth, certificates Qualifications: 10-12 years of IAM implementation experience Strong communication skills Customer-facing experience CISSP certification (bonus) Willingness to travel Technical Skills: Operating More ❯

Zencore is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. We are seeking candidates with significant experience in Google Cloud to join our team. Our engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking assistance with data and application modernization. We embed within customer … a collaborative, co-development style. What you will do... As a Senior Project Manager, you will lead and manage the successful delivery of engagements to drive customer adoption of Google Cloud services, like Google Compute Engine, Google Kubernetes Engine, BigQuery, Anthos, and our AI/Machine Learning capabilities. In this role, you will regularly … engage with diverse stakeholder groups, including executives of large enterprises and a cross-functional and geographically dispersed team within Google to help gather requirements, scope engagements, plan, and deliver service offerings to accelerate the cloud adoption journey. You will utilize your relationship management, leadership skills, and technical background to lead others, proactively mitigate risks, resolve issues, and advance projects More ❯

together using a typed, auto-generated API client that helps us move quickly and safely across the stack. We deploy everything into Google Cloud Platform, making use of GKE, Cloud SQL, BigQuery, PubSub, and Cloud Storage, with infrastructure managed through Terraform and CI/CD pipelines powered by CircleCI. We keep a close eye on how things behave in More ❯

the unique challenges of AI product development. Our tech stack Our primary development stack includes Go, TypeScript with React, and Postgres, with deployment on Google Cloud Platform using GKE and Cloud SQL. Our stack for AI development is somewhat different than most. We do rely on products like Anthropic, Vertex, and OpenAI but we've also invested heavily in More ❯

hours ago London, England, United Kingdom 1 month ago Senior Technical Consultant, Google Cloud London, England, United Kingdom 1 month ago GCP Public Cloud Infrastructure Architect (HPC, GKE) London, England, United Kingdom 5 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 5 days ago London, England, United Kingdom 2 days ago London, England, United More ❯

stack We Use Go and TypeScript (React) with Postgres as our core stack A generated, typed API client to help us ship quickly and safely Google Cloud Platform (GKE, Cloud SQL), with BigQuery, PubSub, Cloud Storage and more Terraform for infrastructure, CircleCI for testing and deployment Sentry, Grafana + Prometheus, and Kibana for observability Anthropic, Vertex, and OpenAI along More ❯

always be wondering what’s inside. But perhaps the most important thing with containers is KUBERNETES. And this is a chance to work for one of the most innovative Kubernetes platforms there is. A SaaS company leading the way in … FinOps and container efficiency, and one who has already made quite a stir. This development team work directly on their flagship product, building new features and enhancements across EKS, GKE, and AKS. You’ll have focused on Golang development for several years and be comfortable working in “you build it, you run” environments, dabbling in Terraform, Gitlab, and observability. The … the usual 9-5. This is an innovation-driven company where you’ll be working alongside the best Gophers Europe has to offer, as well as working with Kubernetes in ways you may not have known existed. If you’re looking for something new, take a hit on that apply button. #J-18808-Ljbffr More ❯

Join to apply for the Lead Service Architect role at Aker Systems Continue with Google Continue with Google 2 days ago Be among the first 25 applicants Join to apply for the Lead Service Architect role at Aker Systems Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide … months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 8 hours ago London, England, United Kingdom 7 months ago GCP Public Cloud Infrastructure Architect (HPC, GKE) London, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 6 days ago Greater London, England, United Kingdom 6 days ago Greater London, England, United Kingdom 1 week … ago London, England, United Kingdom 1 month ago Greater London, England, United Kingdom 5 months ago GCP Public Cloud Infrastructure Architect (HPC, GKE) London, England, United Kingdom 1 month ago Solution Architect - D365/Power Platform London, England, United Kingdom 2 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 2 weeks ago We’re unlocking More ❯

driven, able to work autonomously, and eager to take ownership Bonus GraphQL API design and consumption in a micro service environment DevOps know how - experience with Kubernetes on GKE and managing production infrastructure TailwindCSS utility patterns Impact & Ownership: Ship features that thousands use to master AI skills AI First Culture: We build with AI, not just for AI - you More ❯

software landscape. Experience working with CRM, BPM, payments, and/or ticketing systems. You will have the opportunity to work across a variety of technologies including GCP, Kubernetes (GKE), Kafka, Elasticsearch, Oracle, Couchbase and Apigee, so previous experience in any of these is welcome. About Us Our vision is to give everyone the belief they can make their move. More ❯