1 to 25 of 1,666 GCP Jobs in London

About the Job you are considering:We are looking for a Google Cloud Platform (GCP) Data Engineer who will lead the engineering delivery and technical direction for a scalable multitenant data integration platform on Google Cloud Platform GCP The platform uses Managed Airflow Composer to orchestrate ETL pipelines and enables … delivering data engineering or integration platforms in cloud environmentStrong hands-on experience building production grade ETLELT pipelines and orchestration with AirflowSolid experience on Google Cloud Platform such as Data services eg BigQuery Cloud Storage PubSub Dataflow and or container platforms eg GKE Cloud Run IAM networking secrets management and environment ...

shape technical decisions, challenge existing approaches and help teams build securely from the outset. You'll have the opportunity to influence major initiatives across GCP security, Kubernetes, DevSecOps, application and API security, identity, resilience and security compliance, while helping the organisation continue to scale securely. The role would particularly suit … architectural and strategic level, and who wants greater ownership and influence over security. Please note: Strong commercial experience with both Google Cloud Platform (GCP) and Kubernetes is essential for this position. Your Team You'll sit within a wider technology function and work closely with teams across Architecture, Engineering, Product ...

Leadership (GCP Focus): Lead the design and share implementation plan of cloud-native and hybrid cloud solutions, with a strong emphasis on GCP (Google Cloud Platform) and its associated resources. While Azure experience is a plus, a deep understanding of GCP concepts and best practices is essential. You will clearly … solution architecture, specifically within an API-first environment or digital platform context, with a focus on Marketplace platforms or similar multi-tenant systems. • GCP Cloud Expertise (Essential): Deep knowledge and hands-on experience with Google Cloud Platform (GCP) and its associated services (e.g., Cloud SQL, Cloud Storage, Apigee). Experience ...

Clarity, JIRA, Asana) Preferred Skills and Experience Hands‐on experience of working on Windows/Linux Servers. Cloud services (AWS/Azure/GCP). Managing incidents, change requests, service requests and driving TRT (Technical Recovery Team) calls. Strong problem solving skills on these platforms Minimum knowledge and understanding ...

Solutions Architect Expert, or other relevant Microsoft Azure certifications (e.g. AZ-104, AZ-305, AZ-400). Experience working in other cloud environments (AWS, GCP). Familiarity with building and supporting cloud‐native data services (e.g., Snowflake, Databricks, Azure Synapse, Azure HDinsight, Azure AI Foundry). Benefits Remote‐first working ...

architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding ...

with AI and machine learning frameworks at scale (e.g., PyTorch, DeepSpeed, Megatron-LM, vLLM). Hands-on experience with major cloud platforms (e.g., AWS, GCP, Azure) and hybrid cloud architectures. Advanced experience with containerization (Docker) and orchestration (Kubernetes), including custom operators, Helm charts, and GPU scheduling plugins. Expertise with observability ...

modern observability platforms (e.g., Dynatrace, AWS Cloudwatch, Prometheus, Grafana, ELK Stack, Splunk, OpenTelemetry).* Cloud & Infrastructure: Advanced knowledge of major cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, Ansible).* Programming & Automation: Strong programming and scripting skills (e.g., Python, Go, Shell) with a focus ...

infrastructure - particularly Azure - including compute, networking, storage and cost management. Experience with Azure Cloud Services, Azure Machine Learning or equivalent cloud platforms (AWS/GCP). Solid understanding of CI/CD pipelines, Docker, Kubernetes and infrastructure-as-code. Expertise in building secure, scalable RESTful and GraphQL APIs. Excellent knowledge ...

platform engineering role, with at least 2 years in a leadership or senior capacity. Deep knowledge of cloud platforms (AWS, Azure, or GCP). Extensive hands‐on experience with containerisation (Docker, Kubernetes) and IaC tools (Terraform, Ansible). Strong software engineering background with proficiency in a modern programming language such ...

communicate technical concepts clearly and collaborate across teams. A mindset of continuous learning and improvement. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an associate level is highly desirable, e.g.: AWS Certified: Solutions Architect Associate AWS Certified Advanced Networking – Specialty (highly desirable) Certification in Kubernetes and Terraform administration ...

Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch ...

with Kubernetes for container orchestration Proficiency with containerization technologies like Docker Experience with GitHub Actions Solid understanding of cloud platforms (Ideally Azure but AWS, GCP accepted) Experience with observability tools (e.g., Prometheus, Grafana, ELK stack) Working with and designing RESTful APIs MSSQL, PostgreSQL or other SQL databases Working in Agile ...

Carlo, or Soda. Industry experience within Financial Services, Energy & Utilities, Healthcare, Manufacturing, or Retail. Cloud provider and/or platform certifications across AWS, Azure, GCP, Databricks, or Snowflake. Why Indicium AI Fast-growing global AI and Data consultancy with significant opportunities for career progression. Work on high-impact transformation programmes ...

ability to communicate technical decisions to both technical and non-technical stakeholders. Desirable Experience Modern web development using Next.js, React and TypeScript. Google Cloud Platform services, particularly BigQuery and Cloud Run. Enterprise authentication and authorisation, including SSO, SAML, OAuth and role-based access control. Designing and optimising applications that process ...

advocacy for, Agentic AI/Context Engineering Desirable: Engineering : Java, Vue, Angular, .Net Core Tools/Technologies/Infra : Docker, Kubernetes, Kafka, Azure, GCP, NoSQL, DNS Design : Serverless, cloud-native/PaaS, event driven, pub/sub, real-time/websockets, architectural design records (ADRs) SDLC : Agentic AI/Context ...

entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes Experience building scalable backend ...

infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure ...

observability tools (e.g., Dynatrace, AWS Cloudwatch, Prometheus, Grafana, ELK Stack, Splunk, Logic Monitor). · Strong technical knowledge with major cloud platforms (AWS, Azure, or GCP). · Solid programming and scripting skills (e.g., Python, Go, Shell, JavaScript) for automation. · Understanding of distributed systems, microservices architectures, and cloud-native environments. Experience with ...

Tech stack/tooling used: GCP, Terraform, Ansible, Python, CI/CD, Prometheus, Grafana, Datadog, Bash, Cyber Security Logistics Base salary: Undisclosed Employment type: Permanent Job Description Fundment is a fast-growing wealth infrastructure company, building on our success in transforming the £3 trillion UK wealth management market with … implementing tools and processes that ensure the high availability, performance and security of our market-leading investment system running on Google Cloud Platform (GCP). You will work closely with colleagues across our infrastructure, engineering and product teams to continually improve our rapid deployments while maintaining operational excellence. Key Responsibilities ...

Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow) Experience with cloud technologies (AWS/Azure/GCP) and distributed systems, web technologies and event drive architectures Understanding of data versioning and ML models lifecycle management Hands-on experience with CI/ ...

hands-on experience building and deploying infrastructure for a production software product Deep experience with at least one major cloud provider (AWS, Azure or GCP), and the judgement to know when a managed service is the right answer and when it isn't Strong experience designing and building infrastructure with ...

Site Reliability engineer, preferably in a consultancy or industry setting Experience working with one or more of the major cloud platforms – AWS, Azure or GCP Experience designing, building, and operating internal developer platforms (IDPs), with a focus on reliability and adoption A product-focused mindset that understands and prioritises ...

data integration solutions Strong understanding of distributed computing concepts and data processing frameworks Experience working with modern cloud platforms including Azure, AWS or GCP Knowledge of software engineering principles, testing and code quality practices Experience working within Agile development environments Excellent problem-solving and troubleshooting capabilities Desirable Experience Experience within ...

production ready data platform on one or more occasions. Engineering and Data Engineering Proficiency in Python Proficiency in cloud platforms like AWS, Azure, or GCP The capacity to build and manage large-scale data transformation workflows Proficiency in managing PII and sensitive information while ensuring compliance with data legislation. Champion ...