1 to 25 of 350 GCP Jobs in London

Hedge Fund PERM GCP Cloud Security Engineer - GCP, AWS, Azure, Python, Bash, IAM, Terraform, Automation Cloud Security Engineer The successful candidate will be a subject matter expert with hands … experience in a wide range of cloud technologies, tools and methodologies. The role is suited for an experienced Cloud Engineer with focus in Google Cloud Platform, the candidate must have proven understanding in enterprise security and will focus on building toolsets and processes. Principal Responsibilities Contribute to the vision, strategy

GCP Governance and Compliance Manager 12 months London or Manchester - x2 days onsite 3 days remote Inside IR35 - Umbrella only Overview: Out client is delivering non-production and production Google Cloud Platform (GCP) Landing Zones, including an Internet Facing Environment (IFE) to host external APIs. To ensure the platform meets … Banks' core security requirements, is onboarded on the BAU Group Cloud Governance process and complies with the Cloud Controls Framework (CCF), a dedicated GCP Governance and Compliance Manager is required. This role will focus on mapping The Banks' policies and standards to the GCP Landing Zone delivery, ensuring all technical

GCP DevOps Engineer - AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £(Apply online only) DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We're seeking … skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) .

Global Systems Integrator (GSI). Proven experience in pre-sales, solution architecture, or consulting roles. Strong understanding of cloud platforms (AWS, Azure, GCP), DevOps, and microservices. Hands-on experience with observability tools, APM, log analytics, and infrastructure monitoring. Proficiency in scripting or programming languages (e.g., Java, Python, JavaScript). Certifications

Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML

following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi-disciplined team and clearly communicating complex technology solutions to technical and non-technical people Experience designing event processing

patterns (e.g., REST APIs, batch inference, event-driven). Experience with orchestration tools (e.g., Airflow, Dagster) and cloud-native ML platforms (e.g., AWS SageMaker, GCP Vertex AI). Ability to influence decision-making regarding infrastructure and tooling, balancing "build vs. buy" discussions. Strong knowledge of Infrastructure as Code (Terraform

experience including: Proficient coding experience using Python Experience with SQL and backend development (Node.js with SQL is a plus) Proficiency in Clout Platfoms: Ideally GCP, but AWS or Azure also welcome DevOps Engineering experience understancing basic principals and tools such as: Kubernetes Terraform (infrastructure as code) CI/CD pipelines

years of backend or platform engineering experience. Proven experience building and deploying microservices in production within a cloud environment (AWS, Azure, or GCP). Expertise in Go, Node.js, or Java, with deep understanding of distributed systems and API design. Experience integrating or leveraging AI/ML models or services within

across multiple time zones. Advantageous experience Experience with Java and familiarity with the JVM ecosystem; Spring Boot exposure. Cloud experience with AWS, Azure or GCP; infrastructure-as-code (e.g., Terraform, Helm) and secure configuration management. Performance profiling and tuning in .NET (e.g., dotnet-trace, PerfView) and/or JVM environments.

systems concepts such as event sourcing, resilience patterns, and asynchronous communication. Experience with containerised development (Docker) and deploying cloud-native applications (Azure, AWS, or GCP). Strong understanding of DevOps concepts: CI/CD pipelines, automated testing, infrastructure-as-code patterns. Proficiency in unit, integration, and end-to-end testing

About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using

pipeline consuming other data products Basic qualifications: Extensive experience conducting Bankend Development using Python. Concurrency and Asyn exp Demonstrated experience using FastAPI Cloud Experience - GCP Essential SQL Docker Containerization Unit testing experience - TDD or Test Suit ML or AI experience would be desriable. Experience within Life Sceiences or Pharma Sector

Kubernetes, and CI/CD platforms Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation and deployment on major cloud platforms (AWS, GCP, or Azure) Comfortable working with ML libraries (e.g. TensorFlow, PyTorch, scikit-learn) and serving frameworks Knowledge of data pipeline orchestration tools such as Airflow

other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH. The salary

other complex services) into production systems. Experience with containerization (Docker, Kubernetes) and deploying/managing services on a major cloud platform (AWS, GCP, or Azure). This is a permanent position with hybrid working of two days a week in the central London office and the rest WFH. The salary

Familiarity with BI tools (QuickSight, Looker, PowerBI, Tableau). Exposure to tagging/tracking tools (Snowplow, Tealium). Experience with Terraform & Terragrunt. Knowledge of GCP or Google Analytics is a plus. Our promise to talent At Property Finder, we believe talent thrives in an environment where you can be your

driven design (DDD). CQRS and Event Sourcing patterns * Kubernetes * Knowledge/Certification in Spring framework. * Experience in cloud technologies AWS/Azure/GCP Please apply for the job if you fit the above criteria.

cloud concepts. Experience contributing to solution design and familiarity with architectural patterns/frameworks. Proven delivery of serverless pipelines in Azure/AWS/GCP (Azure highly desirable). Experience building data transformation pipelines using SQL and NoSQL databases. Hands-on ownership of CI/CD (Jenkins/Azure DevOps

engineering* Experience designing ML/AI solutions and working with common architecture patterns* Background in serverless data/ML pipelines (Azure preferred, AWS/GCP welcome)* Proficiency in SQL and NoSQL data stores* Broad understanding of machine learning methods (regression, tree-based models, clustering, deep learning, attention models, transformers, vector

PEGA rules engine. Nice to have: Active Security Clearance (SC) Proven experience working within Agile delivery frameworks Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) Strong understanding of DevOps practices, including CI/CD pipelines and automated testing tools for PEGA Background in regulated sectors such

PEGA rules engine. Nice to have: Active Security Clearance (SC) Proven experience working within Agile delivery frameworks Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) Strong understanding of DevOps practices, including CI/CD pipelines and automated testing tools for PEGA Background in regulated sectors such

PEGA rules engine. Nice to have: Active Security Clearance (SC) Proven experience working within Agile delivery frameworks Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) Strong understanding of DevOps practices, including CI/CD pipelines and automated testing tools for PEGA Background in regulated sectors such

extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience

experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding of networking, storage, and virtualization concepts.