1 to 25 of 315 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-on 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, and drive execution for integrated … security controls across Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS) and for Google Cloud Platform (GCP) efforts. Able to demonstrate clear understanding of current risks and threats to Cloud infrastructure and/or IT infrastructures at technical and managerial levels. Ability to conduct Red Team security testing tasks in GCP to continuously More ❯

supplier list for this position.KeywordsCloud Engineer, Full Stack Developer, Data Engineer, Java Developer, Node.js, React Developer, Kubernetes, Docker, Red Hat OpenShift, CI/CD, GitHub, ArgoCD, PostgreSQL, AWS, Azure, GCP, DevOps, Agile, Power BI, Data Pipelines, Microservices, Hybrid Working, Security Clearance, Leadership, Management. More ❯

Extensive experience building and deploying production-grade web and software applications. Strong experience in React, TypeScript, and Python (Java optional). Hands-on experience with cloud-native development (AWS, GCP, or Azure). Understanding of CI/CD, infrastructure as code, and container orchestration. Experience mentoring other engineers and leading by example. Strong understanding of software architecture principles and system More ❯

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 a skilled GCP DevOps Engineer to architect and maintain cloud-native … 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) . Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments. Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes to support … up monitoring and alerting systems using Cloud Monitoring , Cloud Logging , Prometheus Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services. Required Skills Strong hands-on experience with GCP services : Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run. Proficient in scripting with Python or Bash . Deep understanding of Docker and Kubernetes for containerization and orchestration. Expertise in CI More ❯

Prior experience working with or for a 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 in Dynatrace, AWS More ❯

the following engineering disciplines : Cloud 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 or similar for MLOps; LangSmith More ❯

professional business relationships with partners and customer stakeholders Key Words: Cloud Modernisation - Cloud Modernization - Application Architect - Full Stack Engineer - Application Modernisation - AppMod - Application Engineer - Software Architect - Cloud - Azure - AWS - GCP - Application Architecture - Application Developer Additional Information We don't believe hiring is a tick box exercise, so if you feel that you don't match the job description 100%, but More ❯

candidate will meet all of the 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 and async messaging architectures More ❯

coder with Full Stack Development 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 and automated deployment processes Benefits More ❯

enterprise environments Strong IaC experience (Terraform preferred, CloudFormation also valuable) Solid understanding of architectural design patterns and their application to AI systems Deep expertise in one or more of: GCP, AWS, Azure Advocacy for high-quality engineering: automation, testing, IaC, pipeline maturity Excellent communication and documentation skills - written, verbal, diagrammatic Practical experience with serverless and containerised deployments Proven ability to More ❯

Development (TDD) and automated testing frameworks Excellent collaboration and communication skills, with a track record of working effectively in Agile environments Familiarity with public cloud platforms (AWS, Azure, or GCP) and containerized deployments Experience in retail banking or financial services is beneficial Environment & Culture The team currently manages over 300 microservices and operates within a truly collaborative Agile delivery model. More ❯

data effectively. Familiarity with distributed 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 using modern TypeScript testing tools. More ❯

broader programme and client objectives. 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 concepts, ETL/ELT pipelines More ❯

REST framework, views, templates). Strong background in React and modern front-end development (Redux, Hooks, etc.). Experience working with Git, Docker, and cloud environments (AWS, Azure, or GCP). Knowledge of SQL and relational databases (PostgreSQL, MySQL, or similar). Familiarity with CI/CD pipelines, automated testing, and Agile development practices. Understanding of RESTful APIs, modern UI More ❯

build an end-to-end 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 If you are available and More ❯

/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI/CD pipelines for data workflows. Excellent communication skills and ability to collaborate across teams. Preferred Qualifications Experience with Databricks More ❯

identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Ideal Profile: An Ideal Candidate Should Have Proven experience in backend development: Python Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers. Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying More ❯

don't ask that you have experience in all of this, but if you do, that's great Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana Our Interview process Interviewing is a two More ❯

performance applications: Programming Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in More ❯

performance applications: Programming Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in More ❯

a list of some of the typical technologies we use: CI/CD (Jenkins, Argo, Flux) Cloud Native deployment (Helm/Kustomize) Cloud/Cloud Native platforms (Azure, AWS, GCP, OpenShift) Infrastructure-as-Code (Terraform, Ansible, Crossplane) Container orchestration, networking, and automation (Kubernetes, Docker) Scripting (Bash, Powershell, Python) Programming languages (Golang, Java, Ruby, Python) Vulnerability remediation and mitigation tools (BlackDuck More ❯

financial services environments Maintain clear documentation for infrastructure, deployment, and operations Requirements Proven experience in a DevOps or infrastructure engineering role Strong knowledge of cloud platforms (Azure, AWS, or GCP) Familiarity with containerisation (Docker, Kubernetes) and automation tools (Terraform, Ansible) Understanding of CI/CD, monitoring, and troubleshooting in production environments Strong problem-solving and collaboration skills Experience supporting data More ❯

microservice-based architectures using domain 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. More ❯

of algorithms, data structures and 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/GitHub Actions) and MLOps More ❯

is a strict hiring requirement. Demonstrated ability to troubleshoot and resolve complex issues across varied environments, independently and effectively Experience with cloud-native technologies: Kubernetes, Docker, Linux, AWS, Azure, GCP, CI/CD, Terraform, Ansible, Serverless, and container registries In-depth understanding of public cloud platforms and deployment best practices Strong knowledge of network protocols (TCP/IP) and security More ❯