151 to 175 of 1,150 GCP Jobs in the UK

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

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 ...

Technical Experience * Kotlin * Java * JVM * Ktor or Spring * REST APIs * PostgreSQL * MongoDB * Redis * GitHub Actions or other CI/CD tools * Docker * Kubernetes * AWS, GCP or Azure * Monitoring and logging tools such as CloudWatch, Prometheus, OpenSearch or Elasticsearch * Jira, Trello or similar delivery tools Desirable Experience * Experience or interest ...

data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving skills and ability to work independently ...

data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving skills and ability to work independently ...

track record of designing and delivering large-scale, distributed systems in a complex enterprise environment. Deep expertise in architectural frameworks, cloud platforms (AWS, Azure, GCP), microservices, APIs, and security. Strong understanding of DevOps, CI/CD, and modern software development methodologies. Demonstrated experience with Agentic AI systems, autonomous agents ...

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 ...

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 ...

Nice to have (but not required) Experience with AI frameworks such as LangChain, LangGraph or similar Experience deploying AI workloads within AWS, Azure or GCP Knowledge of MLOps, containerisation or Kubernetes Experience working on National Security, Defence or Intelligence programmes Familiarity with secure software development within highly classified environments ...

Strong software development experience in one of Java, Scala, or Python Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks. Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment Proficient in SQL and SQL extensions ...

/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. ...

include: Optimising existing HubSpot integrations to improve data quality and reliability. Enhancing reporting capabilities through improved data pipelines and flows into Google Cloud Platform (GCP). Supporting the expansion of existing B2B data infrastructure to accommodate growing B2C requirements. Helping evolve and optimise the current GCP platform to ensure … future growth. Working closely with business stakeholders to deliver meaningful insights and scalable data solutions. Skills & Experience Essential Strong experience with Google Cloud Platform (GCP). Advanced SQL skills. Strong Python development experience. Commercial experience working with BigQuery. Experience integrating and working with HubSpot data. Desirable Experience with Salesforce. Exposure ...

Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks) Cloud platform experience (AWS, GCP, Azure) Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches CI/CD for data pipelines, version control discipline ...

customers Strong cybersecurity background and cloud security experience Deep hands‐on experience with at least two major Cloud Service Providers (CSPs)—AWS, Azure, or GCP Knowledge of risk‐based security assessments and frameworks Understanding of cloud identity, access, certificates, and keys Strong operating system, virtual machine, and container knowledge WHAT ...

JavaScript ecosystems, Node.js, and Angular Deep understanding of software architecture, microservices, and distributed systems Experience working with cloud platforms such as Azure, AWS, or GCP Familiarity with CI/CD pipelines and container technologies such as Docker and Kubernetes A track record of building scalable, high-quality SaaS xgfakrv platforms ...

JavaScript ecosystems, Node.js, and Angular Deep understanding of software architecture, microservices, and distributed systems Experience working with cloud platforms such as Azure, AWS, or GCP Familiarity with CI/CD pipelines and container technologies such as Docker and Kubernetes A track record of building scalable, high-quality SaaS xlzlddp platforms ...

/front‐office stakeholders Desirable Skills & Experience Prior experience in investment banking or financial services, particularly front‐office systems Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with containerisation technologies (Docker, Kubernetes) Experience with Kafka or similar messaging/event platforms Understanding of distributed systems design and immutable event ...

MySQL) as a core part of your job Cloud experience: youve deployed and maintained services in production on a cloud platform (Azure, AWS, or GCP). You understand how things like storage, messaging, and secrets management work Testing discipline: you write tests for your code (xUnit, NUnit, or similar), care ...

variety of industries. What do I need? Java, C#, Python, Go or TypeScript React, Angular, Vue or Svelte Cloud experience (AWS, Azure or GCP) Infrastructure as Code CI/CD tools such as GitHub Actions, GitLab CI or Jenkins Desirable NoSQL technologies such as Elasticsearch Strong problem-solving and debugging ...

working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable experience leading and developing engineers, supporting capability growth, motivation, and consistent delivery ...

strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure ...

Expertise in Elasticsearch management, indexing, and query optimisation. Knowledge of data modelling, warehousing, and modern data platform architectures. Familiarity with cloud platforms (AWS, Azure, GCP) in secure environments. Understanding of data security, governance, and information assurance. Experience with DevOps practices, CI/CD, and Infrastructure as Code. Desirable: Experience within ...

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 ...

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 ...

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 ...