101 to 125 of 1,563 GCP Jobs in London

of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures A university degree - numbers based, Computer Science or Geography Relevant industry sector More ❯

of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures. A university degree - numbers based, Computer Science or Geography. Relevant industry sector More ❯

in broad, complex, and unique environments with mixed applications and protocols required Experience with containers, orchestrators like Kubernetes, Docker, Linux, Cloud Providers (AWS, Azure, GCP), CI/CD, Terraform, Ansible, Container Registries, Serverless a plus Existing knowledge of, and experience with public cloud platform (XaaS) features, capabilities, and best use More ❯

on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working with one or more of the following tools - Kibana, Open-Search, Grafana, Datadog, Sumologic More ❯

Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible • You hold strong communication skills with an More ❯

private-cloud infrastructure running centos/rocky linux on a mix of bare-metal, virtualization, and containerization. Managed public cloud environments such as aws, gcp, azure and their federation into on-premise environments. Life-cycle management of baremetal servers such as Dell and Supermicro in globally distributed data centers (e.g. More ❯

large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS cloud platform (experience with GCP or Azure is a plus). Experience monitoring and optimizing model performance in production settings. Programming Languages: Strong coding skills in Python and SQL. Experience More ❯

technologies, frameworks, and best practices in Node.js development. Maintain proper documentation of code and processes. Collaborate with DevOps and cloud platforms (e.g., AWS, Azure, GCP) to deploy, monitor, and manage applications. Role Requirements A bachelor's degree in Computer Science or equivalent experience. Strong understanding of RESTful APIs and the More ❯

technologies, frameworks, and best practices in Node.js development. Maintain proper documentation of code and processes. Collaborate with DevOps and cloud platforms (e.g., AWS, Azure, GCP) to deploy, monitor, and manage applications. Role Requirements A bachelor's degree in Computer Science or equivalent experience. Strong understanding of RESTful APIs and the More ❯

Kubernetes) and CI/CD tooling Desirable Familiarity with distributed tracing and performance profiling tools (Jaeger, Zipkin) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code (Terraform, CloudFormation) Background in real-time systems or IoT architectures Useful Understanding of network protocols and security best-practices More ❯

Kubernetes) and CI/CD tooling Desirable Familiarity with distributed tracing and performance profiling tools (Jaeger, Zipkin) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code (Terraform, CloudFormation) Background in real-time systems or IoT architectures Useful Understanding of network protocols and security best-practices More ❯

developing using modern development languages (e.g. Java, Go, Python etc) with code written to a common standard. • Experience of public cloud technologies (either AWS, GCP, Azure) and principles, in particular Infrastructure as Code. • Ability to translate user requirements into technical requirements. • Excellent interpersonal skills and able to communicate with Clients More ❯

help every company become an AI company via our ML SaaS platform. Primary skills we consider: Python Secondary skills we consider: Kubernetes, Microservices, Docker, GCP, Maths, Machine Learning Employment type: Permanent Remote working: Flexible remote (up to 4 days p/w) We are looking for a brilliant senior developer More ❯

large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS cloud platform (experience with GCP or Azure is a plus). Experience monitoring and optimizing model performance in production settings. Programming Languages: Strong coding skills in Python and SQL. Experience More ❯

Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS, GCP, or Azure). Familiarity with data modeling and warehousing concepts, and dimensional modeling techniques. dbt knowledge is preferable. Comfortable working with CI/CD tools More ❯

have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of teams are releasing code 15-20 times per day More ❯

or within the UK Ministry of Defence Strong background in architecture, software engineering, or technical consulting Hands-on experience with cloud platforms (AWS, Azure, GCP) Proficiency in modern programming or scripting languages (e.g. Java, Python, Node.js) Experience with scalable, distributed systems and modern application architectures Excellent stakeholder communication and presentation More ❯

or within the UK Ministry of Defence Strong background in architecture, software engineering, or technical consulting Hands-on experience with cloud platforms (AWS, Azure, GCP) Proficiency in modern programming or scripting languages (e.g. Java, Python, Node.js) Experience with scalable, distributed systems and modern application architectures Excellent stakeholder communication and presentation More ❯

field. Strong proficiency in programming languages such as Python, Java, or Go for automation and monitoring. Experience with cloud platforms like AWS, Azure, or GCP, and their services for scalable, resilient systems. Expertise in containerization technologies (e.g., Docker, Kubernetes) and orchestration tools. Knowledge of monitoring and logging tools (e.g., Prometheus More ❯

Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Be part of a mission-critical Messaging team enabling real-time data flows. Work with cutting-edge More ❯

Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Be part of a mission-critical Messaging team enabling real-time data flows. Work with cutting-edge More ❯

development: Experience in back-end engineering developing reliable systems with an object-oriented programming language. Cloud-native technologies: Experience in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), and observability platforms (e.g., Datadog or Grafana). Curiosity: A hunger to learn and grow your skills. More ❯

developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Leadership: A track More ❯

developing reliable and scalable systems with an object-oriented programming language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Leadership: A track More ❯

workflow orchestration platforms (e.g., Airflow, Fivetran, dbt) Proficiency with SQL and solid grounding in data modeling concepts Familiarity with cloud services and architectures (AWS, GCP, or Azure) Proven experience managing or mentoring engineers and driving delivery in an agile environment Solid grasp of data security, access control, and compliance principles More ❯