1 to 25 of 40 GCP Jobs in the North East

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 ...

looking for Building, maintaining and optimising CI/CD pipelines Infrastructure as Code (Terraform, CloudFormation, AWS CDK) Cloud platform experience (AWS, Azure or GCP) Containerisation and orchestration using Docker and Kubernetes/OpenShift Scripting and automation using Python, Bash or PowerShell Configuration and administration of DevOps tools such as Jenkins ...

relevant subject We would also prefer you to have Octopus Deploy Static analysis tools e.g. SonarQube Control-M Cloud experience (Azure, AWS or GCP) VMware (vSphere) and SAN experience You can have an impact from day one – we empower and trust our people to leverage their skillsets Work ...

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 ...

develop Experience in Some or All of the Following Distributed computing technologies such as Spark and Databricks Cloud platforms including AWS, Azure, or GCP Workflow orchestration tools such as Airflow CI/CD, version control, and infrastructure as code Experience within financial services, consulting, or risk environments What ...

code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional ...

orchestration frameworks such as: LangChain LlamaIndex Semantic Kernel CrewAI Cloud platform expertise in one or more of these areas: AWS Microsoft Azure Google Cloud Platform API design and microservices architecture. Data architecture and integration experience. Familiarity with knowledge graphs, vector databases and knowledge management systems. Generative AI Experience Design ...

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 ...

token management, latency, and cost tradeoffs Basic understanding of web technologies including JavaScript, HTML, and CSS Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases — SQL or NoSQL Ability to validate, evaluate, and improve AI-generated ...

Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical ...

innovative solutions suited to client needs. Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on‐premises) using Azure, AWS, and GCP services. Technical Leadership: Oversee data modelling, data governance, and data quality frameworks while driving technical excellence. Strong hands‐on experience in technologies such … teams to establish CI/CD architectures using Azure DevOps, Kubernetes, and Terraform. Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and associated data services Guide the selection and implementation of analytics and reporting tools (Power BI, Tableau, PowerApps). Stakeholder Engagement: Able to work closely ...

/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions … orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. ...

building data-intensive applications and pipelines Strong programming skills in Python and SQL or similar Experience with technologies such as Spark, Databricks, AWS, Azure, GCP and/or Airflow Strong focus on data quality, testing and reliability Solid software engineering fundamentals and high engineering standards Strong communication and collaborative skills ...

other distributed source control systems Nice to Have Experience building or operating multi-tenant SaaS systems Familiarity with cloud platforms, ideally Azure or GCP Interest in AI-assisted development workflows (coding agents, LLM tooling) Exposure to AI/ML-powered products: personalisation, recommendation engines, or A/B testing platforms ...

Bash scripting. Desirable skills: BMC Certified Professional certifications. ITIL Managing Professional or higher. Agile, Scrum, or SAFe certification. Cloud certifications (AWS, Azure, or GCP). Security Clearance (SC). About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine ...

Shift-Left). Strong experience in operating and maintaining services primarily in any of the BIG three public cloud providers (AWS, Azure, and GCP). Bring recent government (public sector) experience Deliver complex digital services aligned to Government Digital Service (GDS) standards Desirable experience Some other areas of experience that ...

tools and standards. Public cloud technologies, cloud hosting, container, and networking design patterns, tools and best practice (e.g. Amazon Web Services, Microsoft Azure, Google Cloud Platform). Agile delivery methodologies and best practice. DevOps: Continuous Integration (CI) and Continuous Delivery (CD) delivery methodologies, tools and best practice. Shaping and supporting ...

relevant to VCF/vSphere (e.g. VCP-DCV) Advanced VMware certification (e.g. VCAP, VCDX) Certification in a public cloud platform (AWS/Azure/GCP) ITIL Foundation Experience with VMware NSX and/or vSAN Scripting/automation experience (e.g. PowerCLI, Terraform, Ansible) to support a move towards proactive/ ...

frameworks within a digital-first environment (banking, financial services, energy, or Big 4 consulting). Modern Tech Knowledge: Hands-on understanding of cloud environments (GCP), microservices, API-led architectures, and Agile/DevOps delivery cycles. Curiosity & Adaptability: A genuine passion for tech, AI, and continuous self-study to stay ahead ...

work confidently alongside colleagues in the others. You don’t need to tick every box.Cloud & Infrastructure Engineering• Experience with cloud platforms: AWS, Azure, GCP, OCI• Infrastructure as Code: Terraform, CloudFormation, Bicep, Pulumi• Configuration management: Ansible, Puppet, Chef, Packer• Networking, virtualisation, and compute provisioningPlatform Engineering• Building or operating internal developer platforms … Consultants have access to a vast array for different training and certifications in a variety of areas: Cybersecurity (CISSP, CISM), cloud technologies (AWS, Azure, GCP), and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini Invent offers you the flexibility to develop various areas of knowledge in technical ...

service grows. The Role You'll work across back-end software and systems engineering on a platform hosted on Google Cloud Platform (GCP). The environment is technology-agnostic, with a focus on choosing practical tools and using AI to work more effectively. … Responsibilities Design, build and improve scalable back-end services, systems and platform capabilities. Develop and maintain cloud-based infrastructure and services within a Google Cloud Platform environment. Use AI and modern engineering tools to improve development workflows, problem-solving and day-to-day efficiency. Required Skills & Experience Strong back ...

applications. Support and strictly enforce the standards set by the Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost‐effective model deployment via Vertex AI and containerized … Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model ...

infrastructure role within a complex environment. Strong technical expertise across Windows/Linux servers, networking, storage, and virtualisation. Cloud experience (Azure, AWS, or GCP). Strong understanding of security and compliance. Experience with automation and Infrastructure as Code tools. Excellent communication, problem-solving, and leadership skills. Relevant degree or equivalent ...

grade data platforms from our Newcastle area hub. You will shape data strategies and drive AI and data product initiatives across Azure, AWS, and GCP while mentoring junior engineers. You will work with stakeholders to translate business needs into robust, secure data architectures, ensuring governance and compliance across complex environments. ...

Ansible, Packer) Manage containerised applications using Docker and Kubernetes Implement monitoring, logging, and observability solutions (ELK, Grafana) Support cloud environments across AWS, Azure, or GCP Ensure secure, reliable deployments with strong DevSecOps practices Manage artefacts, code quality, and release processes What You’ll Need Experience with scripting or development (Python … Strong CI/CD experience (Jenkins, GitHub Actions, TeamCity or similar) Knowledge of containerisation and orchestration tools Experience with cloud platforms (AWS, Azure, or GCP) Understanding of monitoring, logging, and system performance Familiarity with databases (e.g. SQL Server) and job scheduling tools Experience with Atlassian tools (e.g. Jira, Confluence) Bonus ...