101 to 125 of 3,070 GCP Jobs in the UK

cloud-native microservices . The ideal candidate will have a proven track record in designing, developing, and deploying scalable applications on Google Cloud Platform (GCP) , with a solid understanding of DevOps practices and modern CI/CD pipelines. Key Responsibilities Design and develop full-stack applications using Node.js , Next.js … Angular . Build and maintain microservices architecture deployed on GCP . Implement DevOps best practices , including CI/CD pipelines, containerization, and infrastructure automation. Ensure application security and compliance with industry standards (OAuth 2.0, OIDC, CORS, CSRF). Collaborate with cross-functional teams to deliver high-quality software solutions. Mentor ...

development experience using C# and .NET frameworks. Strong understanding of RESTful APIs, API design best practices, and microservices architecture. Experience with Google Cloud Platform (GCP) or another major cloud provider, including managed services and database integrations. Strong knowledge of CI/CD pipelines, source control, and release automation practices. Experience ...

software engineer. Demonstrated advanced programming expertise in Python and in developing and delivering robust, scalable software solutions using frameworks like FastAPI. Experience with cloud platforms (GCP, Azure) and cloud-native architectures. Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding … live systems. Experience designing and administering SQL databases — schema design, query performance, and day-to-day operational management. Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency in English. Preferred Qualifications & Skills Familiarity ...

/Unix fundamentals Application troubleshooting and performance diagnostics Incident and Problem Management processes Monitoring and observability platforms Desirable: OpenShift/Kubernetes Cloud technologies (Google Cloud Platform, Azure, AWS) Microservices and distributed architectures Event-driven architectures and messaging platforms (Kafka, MQ) Elastic Stack (ELK) Grafana Google Cloud Observability (GCO) Python, Shell ...

About aion Aion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer ...

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 ...

Who We Are IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and event management. It powers ...

Who We Are: IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and event management. It powers ...

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 ...

open table formats such as Delta Lake or Apache IcebergProficiency with cloud-native services on Azure and knowledge of multi-cloud environments (AWS or GCP)Hands-on experience with CI/CD and Infrastructure as Code tools (Terraform, GitHub Actions, Jenkins)Strong leadership ability to guide teams, define epics/ ...

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 ...

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 ...

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 ...

data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain Security ...

platforms that support analytics, operational workloads,AIand emerging usecases. You may work with technologies and architectural approaches including, butnotlimited to: Cloud platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing ...

workflows. Develop, fine‐tune, and deploy LLM‐based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that enable … micro‐services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI). Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‐as‐Code (Terraform). Proven problem‐solving skills and ability to thrive in fast‐paced environments. Excellent communication ...

access controls, cost governance and FinOps, multi-environment deployments, data sharing, replication and disaster recovery. Strong knowledge of Azure and/or Google Cloud Platform services across data, storage, networking, security and monitoring. Experience with BigQuery, Databricks, Synapse, Redshift or similar platforms is highly desirable. Expertise in scalable enterprise ...

external workflows. Develop, fine-tune, and deploy LLM-based applications (e.g., chatbots, assistants, knowledge extraction tools).Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that enable teams … APIs and micro-services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI).Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).Proven problem-solving skills and ability to thrive in fast-paced environments. Excellent communication ...

Frank, or local transaction reporting), Risk Management, or Capital Markets. Cloud Awareness: Familiarity with cloud-native development and deploying applications on cloud platforms (AWS, GCP, or Azure). Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field What ...

infrastructure, platform, or cloud engineering teams. Strong technical foundation in operating large-scale, highly distributed production systems on cloud platforms such as OCI, AWS, GCP, or Azure. Demonstrated ability to lead senior engineers and provide credible technical guidance. Strong understanding of reliability engineering practices, including availability, scalability, observability, incident management ...

functions Experience working with AI technologies to accelerate software development and business capability is highly desirable Experience with Docker, AWS and/or Google Cloud Platform Advanced SQL (Amazon Redshift, T-SQL) and data modelling Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases ...

machine learning integration, or proprietary calculation engines. Oversee the migration, integration, or hybrid deployment of KDB+ on-premises and in cloud environments (e.g., AWS, GCP, KX Insights). Performance Engineering & Stability Conduct deep profiling, capacity planning, and latency/memory optimization across high-volume market and transactional data streams. Implement ...

infrastructure to run models in production. Data & platform: SQL, plus experience designing batch and stream data-processing systems. Cloud & tooling: AWS and/or GCP, Docker, Terraform, and observability tooling such as Datadog. Knowledge of Kubernetes, Kafka, and CI/CD pipelines is highly beneficial. Additional Information Bring ...

Proficiencywith monitoring tools like Prometheus, Grafana, or ELK Stack Experience with AI/ML integration in backend systems. Proficiencyin cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker). Working knowledge of SQL and NoSQL databases. Experience with Terraform, or awareness of IAC with willingness to learn Strong background ...

machine learning integration, or proprietary calculation engines. Oversee the migration, integration, or hybrid deployment of KDB+ on-premises and in cloud environments (e.g., AWS, GCP, KX Insights).Performance Engineering & StabilityConduct deep profiling, capacity planning, and latency/memory optimization across high-volume market and transactional data streams. Implement robust Disaster ...