26 to 50 of 630 Google Jobs in London

Javascipt, Typescript (Backend/Frontend) Skilled at using modern cloud infrastructure, experienced when it comes to deploying and hosting applications on AWS, Azure or Google Cloud. You actively facilitate and encourage knowledge sharing within your client team, as well as the wider Engineering department. You advocate for best engineering practices ...

when to use different tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you don’t already have ...

when to use different tools. Scripting & Automation: Skills in a scripting language like Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you dont already have one, youll ...

build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about ...

Broad experience with data governance, data quality, master data management, and regulatory requirements. Key Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language ...

Solutions Architect, Digital Platforms, Google Cloud Google London, UK; Frankfurt am Main, Germany; +2 more; +1 more Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. Bachelor's degree in Computer Science, a related field, or equivalent practical experience. 7 years … structured PRD and a working technical demo. About the job This role sits within the Global Solutions and Consumer AI organization with Google Cloud. Their role is accelerate customer value and increase adoption by delivering innovative, repeatable, and enterprise-ready solutions focused on business value. Make Google Cloud the preferred ...

frameworks such as React , Angular , or Vue . Knowledge of Git and modern development workflows. Experience with cloud platforms including AWS , Azure , or Google Cloud Platform (GCP) . Understanding of SQL , NoSQL , APIs, and distributed systems. Knowledge of machine learning concepts and AI application development. Experience working with Agile methodologies. ...

Agile or Scrum, in particular iterative approaches to software development in conjunction with the client. Experience with cloud platforms such as AWS, Azure or Google Cloud. Familiarity with DevOps practices and principles, such as CI/CD pipelines, containerisation (e.g. Docker) and associated orchestration. This is a genuinely exciting opportunity ...

degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services ...

distributions, statistical testing, regression analysis Cloud management and deployment – A strong background in different cloud platforms like Amazon AWS, Microsoft Azure, OpenStack Apache, and Google Cloud Platform Databases – A familiarity of working with different databases such as Postgres, MySQL, NoSQL (e.g., MongoDB), Redis is recommended. Web technologies – knowledge and experience ...

technically complex problems. Preferred technical and professional experience Apache Kafka or other distributed messaging technologies. Java development. Public cloud platforms (AWS, Azure or Google Cloud). Kubernetes, Docker or containerised environments. Linux system administration. Networking fundamentals (DNS, TLS, load balancing, firewalls). CI/CD pipelines and software development lifecycle ...

explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. Ability ...

Code: Experience with Terraform, CloudFormation, CDK or equivalent tools. Scripting & Automation: Skills in Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you don’t already have ...

Code: Experience with Terraform, CloudFormation, CDK or equivalent tools. Scripting & Automation: Skills in Python, Ansible, Bash, Groovy, Powershell, or similar. DESIRABLE SKILLS: Azure or Google Cloud Experience: Ability to compare and contrast cloud offerings, especially in a migration scenario. AWS Professional Certification: If you dont already have one, youll ...

Large Language Models, Generative AI, Retrieval‐Augmented Generation (RAG), AI agents, and enterprise AI architectures. Experience with cloud platforms including AWS, Azure, or Google Cloud Platform. Understanding of APIs, microservices, distributed systems, and enterprise integration patterns. Experience designing secure, scalable, and highly available enterprise solutions. Familiarity with Kubernetes, Docker, cloud ...

experience with system security, operating systems, cloud infrastructure, and enterprise data management. Key Skills Advanced knowledge of cloud platforms: Microsoft 365, Azure, AWS, and Google Cloud Platform (GCP). Hands-on experience with programming languages such as Java, .NET, Python, or equivalent. Microservices architecture and containerization. RESTful API design ...

administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp* Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale* Infrastructure-as-Code using Terraform, with real hands-on experience of multi ...

Gemini, Llama or similar LLMs LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen or equivalent frameworks RAG, vector databases and embeddings Azure AI, AWS AI or Google Vertex AI MLOps, CI/CD and cloud-native deployment Docker, Kubernetes and modern software engineering practices What we're looking for 3+ years building ...

dashboards Supporting cloud infrastructure tasks across AWS and Microsoft Azure Working with GitHub for version control, code reviews, and collaborative development Assisting with Google Workspace administration and integrations Exploring and implementing AI integrations to support business processes Documenting systems, processes, data flows, and dependencies Supporting process redesign and simplification initiatives ...

breadth across every industry, every enterprise technology stack, and every level of organizational complexity — combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering. Key Responsibilities Use AI coding assistants daily ...

advanced Red Team operations and adversary simulation exercises. Purple Team and Breach & Attack Simulation experience. Knowledge of cloud security testing across AWS, Azure, and Google Cloud Platform. Experience with social engineering engagements. Understanding of AI and emerging security threats. Experience with container security, Kubernetes, Docker, and CI/CD security ...

coding → testing → ops). Tooling & Platforms (practitioner proficiency) Claude Code (Anthropic) for secure, context‐rich code assistance; use with projects, tool use, code planning. Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling. Azure OpenAI/GPT‐4.x for enterprise ...

automation capabilities, to improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification (e.g., BSc, CKAD, Google Associate Cloud Engineer, or AWS Certified Solutions Architect). Expert-level administration of a major cloud platform (GCP, AWS, or Azure). Mastery of Kubernetes administration ...

work at home 100% of the time. Your Role: Designing and implementing AI platform architectures using cloud services such as Microsoft Azure, AWS, or Google Cloud. Establishing CI/CD and MLOps pipelines to automate model training, testing, deployment, and monitoring. Managing containerized workloads using Docker and Kubernetes for scalability ...

access to learning platforms: Free access for all, to world-class learning assets and curated programs from Harvard Business Review, Coursera, Udemy, Microsoft, AWS, Google and many more.Digital campuses and academy: Our engineering academy offers more than 60,000 hours of training, as also our digital campus on GenAI, data ...