1 to 25 of 312 Google Jobs in London

Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/CD Pipelines Terraform (desirable) What We're Looking For Strong software engineering foundations Passion ...

Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep. Strong knowledge of CI/CD tools ...

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses ...

development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data warehouses and data platforms. Strong understanding of CI/ ...

KPIs and performance metrics across digital products and services. Knowledge of data governance, quality assurance, privacy, and security best practices. Hands-on experience with Google Analytics (GA4) and digital performance data. Excellent stakeholder management and communication skills. Desirable Experience Experience analysing customer acquisition, engagement, and retention within subscription-based ...

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 ...

applications or integrating LLM APIs Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent architectures Experience integrating services from OpenAI, Anthropic, Google Gemini, or similar AI platforms Experience working in regulated, standards-driven, or public sector environments Familiarity with Infrastructure as Code (Terraform, CloudFormation, etc.) Relevant certifications ...

cost control Auditing and compliance enforcement Desirable Skills AWS Specialty certifications (e.g. Security, Machine Learning, Advanced Networking) Exposure to other cloud platforms (e.g. Azure, Google Cloud) Whats on Offer Competitive base salary + comprehensive benefits package 30 days annual leave Private medical insurance Additional paid leave for charitable work Access ...

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 ...

distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux/Unix fundamentals ...

distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux/Unix fundamentals ...

including Salesforce Platform Developer I, Marketing Cloud Consultant, Integration Architect, AI Associate, or AI Specialist. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud , and experience integrating with cloud-based data warehouses or data lakes (eg Snowflake, Databricks, BigQuery). Knowledge of data security and compliance best practices ...

etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands-on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps-centric approach Security - having worked in sensitive data environments and ideally have ...

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 ...

with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction. Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent) and a working understanding of embeddings, semantic search, and token-based context management. Comfortable reading Python code or notebooks (most ...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Frankfurt, Germany; Munich, Germany; London, UK . Minimum qualifications Bachelor's degree in Computer Science ...

opportunity to contribute greatly to an extremely engineering-focused organization and further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform, Google Cloud Platform, etc; You will own engineering efforts to provide partner teams within the organisation with data sources that build the AI/ML user ...

love the culture and the technical challenges. Key Responsibilities Design, implement, and scale production-ready batch and real-time data streaming flows within a Google Cloud environment. Integrate automated testing, data quality guardrails, and monitoring tools to guarantee system health, security, and compliance. Collaborate with data scientists and product engineering ...

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 ...

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 ...

learn and pick up technologies to use the right tool for the job You have experience with cloud based environments e.g., AWS, Azure, Google Cloud, including designing scalable, secure data infrastructures You're comfortable with AI and Agentic programming, using it in your daily activities You have strong analytical ...

experience designing and delivering enterprise data warehouse, lakehouse, or analytics platforms. Strong experience with technologies such as BigQuery, Snowflake, Databricks, and Azure Synapse Analytics. Google Cloud Platform (GCP) experience highly desirable Deep understanding of data architecture principles and scalable solution design. Expertise in data modelling and performance optimisation. Experience implementing ...

direction across multiple teams. Proven ability to mentor engineers and provide technical leadership within multidisciplinary teams. Desirable Experience Experience with Azure and/or Google Cloud Platform. Experience building Internal Developer Platforms and self-service engineering capabilities. Knowledge of GitOps tooling such as Argo CD or Flux. Experience applying Site ...

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 ...

maintainable agentic workflows that can be iterated on quickly. AI Platform Integration Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement. Contribute to shared libraries, SDKs, and patterns that can be reused across clients. Cloud-Native Engineering ...