26 to 50 of 290 GCP Jobs in London

some or all of the following: Development: Experience with Java, Python, JavaScript, C++, or C#. Cloud & Containers: Cloud-native platforms (AWS, Azure, GCP) and Kubernetes/Helm. CI/CD & IaC: GitLab, Jenkins, Terraform, or Ansible. Data & Observability: Database technologies and tools like Prometheus, Grafana, or ELK. Core Practices: Agile ...

engineering Strong hands-on Infrastructure as Code (IaC) (e.g., Terraform , Ansible , CloudFormation ) Containers & orchestration: Docker + Kubernetes Cloud platform depth: AWS/Azure/GCP (networking, compute, storage, security) CI/CD tooling: Jenkins , GitLab CI , GitHub Actions , CircleCI (or similar) Monitoring & logging: Prometheus , Grafana , ELK stack (or equivalent) DevSecOps ...

one. Key Requirements Strong software development background (eg Java, Python, C#, etc.) Experience with CI/CD (Jenkins, GitLab), cloud (AWS/Azure/GCP), containers (Kubernetes/Docker), or IaC (Terraform/Ansible) Comfortable working in a fast-paced, highly secure, onsite environment Active DV clearance Desirable Exposure ...

must haves • Strong Python skills with proven data engineering experience • Advanced SQL skills, including analytics and data quality practices • Hands-on experience with GCP services such as BigQuery, Cloud Storage, Pub/Sub and Cloud Functions • Experience building and managing production data pipelines and data warehouse solutions • Knowledge of DevOps ...

applications Experience building scalable production systems Understanding of APIs, distributed systems, microservices, and system design Experience with cloud platforms such as Azure, AWS, or GCP Familiarity with DevOps/MLOps tooling including Docker, Kubernetes, CI/CD, monitoring, and logging Comfortable operating in fast-paced, product-led environments Nice ...

Docker, including image creation, container management (including security patching) and orchestration • Infrastructure as Code using Terraform, Ansible or CloudFormation • Experience of cloud compute - AWS, GCP or Azure (primarily AWS) • GitOps tooling such as Argo CD • Infra security, compliance and governance • Familiarity with CNCF ecosystem and building platforms ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

professional services or consulting environment Resource and capacity planning — familiar with utilisation tracking and forecasting Cloud platform knowledge: AWS, Azure, and/or GCP Container and microservices architecture: Kubernetes, Docker, OpenShift Scripting and automation: Python, Bash advantageous Familiar with delivery and project tooling: JIRA, Confluence, ServiceNow About You A credible ...

professional software engineer. Demonstrated advanced programming expertise in Python and in developing and delivering robust, scalable software solutions. Experience with cloud platforms (AWS, GCP, Azure) and cloud-native architectures. Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent ...

optimize systems for latency, cost, and reliability, and to take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage ...

multifunctional team across Infrastructure/DevOps/SRE Utilise your experience with Infrastructure as Code tools like Terraform or Cloud formation Experience with GCP or Azure (required) An appreciation of Infrastructure as Code, and CI/CD tooling Scripting responsibilities with languages such as Shell, Bash, or Python etc Demonstrate ...

RESTful services, API gateways, and integration layers Practical application of TOGAF (or similar enterprise architecture frameworks) Hands on experience with cloud platforms (AWS, Azure, GCP) and cloud native design patterns Strong knowledge of: Microservices vs monolithic architectures Cloud native, hybrid, and on premise solutions Digital transformation and modernisation strategies Experience ...

/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online ...

frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify ...

additional days to suit your lifestyle. Giving back: 2 paid volunteering days per year. Development & Growth Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave . Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires youwork ...

Python engineering skills and experience building API-based services Experience with modern data architectures and system design Experience working in cloud environments (AWS, Azure, GCP, or Databricks) Familiarity with CI/CD pipelines and modern engineering practices Experience with vector databases (e.g. Pinecone, Chroma) Experience with agent frameworks (e.g. LangChain ...

with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse ...

lifecycle processes in SailPoint IdentityNow/Identity Security Cloud. 2. Integration & Configuration: · Integrate SailPoint ISC with HR systems, Active Directory, cloud applications (Azure, AWS, GCP), and enterprise applications (SAP, ServiceNow, etc.). · Configure and manage IdentityNow connectors for automated provisioning and deprovisioning. · Implement role-based access control (RBAC), attribute-based ...

skills demand within the company, certifications etc. YOUR PROFILE Must have experience of delivering Digital Solutions on one or more cloud platform (AWS, Azure, GCP). Comfortable working in an Agile Environment balancing time-to-value and iterative delivery with governance and control processes. Experience and knowledge to quickly build ...

skills demand within the company, certifications etc. YOUR PROFILE Must have experience of delivering Digital Solutions on one or more cloud platform (AWS, Azure, GCP). Comfortable working in an Agile Environment balancing time-to-value and iterative delivery with governance and control processes. Experience and knowledge to quickly build ...

Django Channels, Flask, RESTful APIs. Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage. Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality ...

Experience designing for multi-cloud, hybrid and on-prem environments - Skilled in cloud-native patterns (PaaS, SaaS, serverless, containers, orchestration) - Cloud platforms (AWS or GCP): commonly used IaaS/PaaS services - Proficient with observability frameworks (Prometheus, ElasticSearch , Grafana, OpenTelemetry ) for metrics, logs and traces Platform Technologies & BSS Vendor Platforms - Open ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...