1 to 25 of 194 GCP Jobs in the South East

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.

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

pipelines and infrastructure automation. Required Skills TypeScript/Node.js REST APIs (Express, Nest.js, or similar frameworks) Unit testing (Jest or equivalent) Cloud computing (GCP preferred; AWS or Azure experience also valuable) Infrastructure as Code (Terraform or similar) Docker and Compose Continuous Integration tools and environments Experience in a Continuous Delivery

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

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

level of ability/experience, you will have familiarity, competence or expertise in a subset of these areas: Cloud technologies: AWS primarily Azure and GCP beneficial Cyber security Vulnerability management (e.g. tenable) IDAM (e.g Azure AD, Keycloak) Virtualisation and Containerisation Containerisation (e.g. Docker, Podman) Container management (e.g. Kubernetes) Architectural styles

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

products and platforms working in alignment with our AI development teams Technical Environment: Cloud Platforms: Multi-cloud environment (Microsoft Azure, AWS and GCP) Languages: C#, Go, JavaScript Development Practices: AI and Agile methodologies, CI/CD, Infrastructure as Code Quality Assurance: Mix of in-house and outsourced QA resources Operations

products and platforms working in alignment with our AI development teams Technical Environment: * Cloud Platforms: Multi-cloud environment (Microsoft Azure, AWS and GCP) * Languages: C#, Go, JavaScript * Development Practices: AI and Agile methodologies, CI/CD, Infrastructure as Code * Quality Assurance: Mix of in-house and outsourced QA resources * Operations

Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. ? Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). ? Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). ? Knowledge

style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other cloud environments (GCP/AWS). Familiarity with Git-based version control , CI/CD, and DevOps principles. Strong understanding of Power BI and DAX for building analytical

Strong experience in modern programming languages (Python, Java, Typescript, JavaScript) Familiarity with secure coding principles and systems engineering Experience with cloud platforms (AWS, Azure, GCP) and DevOps tooling is a bonus Comfortable working in agile, iterative environments Active DV clearance is essential A passion for mission-focused work and working

statistics Knowledge of probabilistic and Bayesian modelling Solid software-engineering principles and experience with an OO language Familiarity with cloud platforms (Azure, AWS, or GCP) and IaC tools such as Terraform

models on Android mobile platforms. Proven experience in building and maintaining large-scale, distributed training pipelines. Experience with cloud computing platforms (e.g., AWS, Azure, GCP).

e.g., Docker) and CI/CD systems. Understanding of networking concepts (TCP/IP, serial interfaces, device communication). Experience with cloud platforms (AWS, GCP, Azure). Familiarity with embedded systems, device provisioning, or firmware interactions. Experience with performance tuning in Linux or systems-level optimization. The company offer

e.g., Docker) and CI/CD systems. Understanding of networking concepts (TCP/IP, serial interfaces, device communication). Experience with cloud platforms (AWS, GCP, Azure). Familiarity with embedded systems, device provisioning, or firmware interactions. Experience with performance tuning in Linux or systems-level optimization. The company offer

travel to London.- Experience as in a cloud infrastructure/cloud support role. PLATFORM ENGINEER ESSENTIAL SKILLS- Strong experience with cloud technologies (AWS, Azure, GCP)- Infrastructure as Code e.g. Terraform - Experience building and maintaining CI/CD pipelines using tools such as GitLab or Jenkins- Experience with containerisation tools (Kubernetes

Proven experience developing digital or media-focused technology solutions. Strong programming skills (JavaScript, TypeScript, Python, or similar). Experience with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as React. Experience with ETL/

ability to build, develop and scale technical organisations of 30 people or more Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices Experience of large scale platform migrations, customer transitions and maintaining service continuity Background working with blended QA teams

ability to build, develop and scale technical organisations of 30 people or more Deep technical grounding with hands on exposure to Azure, AWS or GCP, enterprise software architecture and modern engineering practices Experience of large scale platform migrations, customer transitions and maintaining service continuity Background working with blended QA teams

principles Strong understanding of Back End technologies and best practices Passion for writing clean, well-tested code Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills and the ability to explain technical ideas clearly A mindset focused on scalability, maintainability, and continuous learning Must be proficient in Node

JavaScript frameworks such as React, Redux , Vue, Backbone, or Angular. Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in object-oriented programming , data structures , algorithms and web application development .

Experience integrating with NHS or healthcare systems Docker, Kubernetes, CI/CD (Jenkins/GitLab/Azure DevOps) Cloud exposure (AWS/Azure/GCP) Knowledge of Kafka/RabbitMQ is a plus *Rates depend on experience and client requirements

designing and delivering enterprise infrastructure solutions across cloud and on-premises environments. - Hands-on experience with at least one public cloud (AWS, Azure, or GCP) and strong understanding of cloud-native services and architectures. - Solid background in networking (routing, switching, LB, VPN, DNS), virtualization (VMware, Hyper-V), and storage technologies.