276 to 300 of 3,432 GCP Jobs in the UK

SOLID principles, Design Patterns and Clean Code. You'll also work with microservices and event-driven architectures, cloud platforms such as AWS, Azure or GCP, and infrastructure-as-code tools like Terraform. Testing coverage will rely on JUnit, Spock and Mockito, applying TDD and BDD along … 11+, Spring Boot, multi-threading, profiling, performance tuning and RMI Hands-on experience with microservices and event-driven architectures Cloud platforms (AWS, Azure or GCP) and Terraform A track record with TDD, Agile and automated build/deployment practices Practical experience with JUnit/Spock and mocking frameworks like Mockito ...

SOLID principles, Design Patterns and Clean Code. You'll also work with microservices and event-driven architectures, cloud platforms such as AWS, Azure or GCP, and infrastructure-as-code tools like Terraform. Testing coverage will rely on JUnit, Spock and Mockito, applying TDD and BDD along … 11+, Spring Boot, multi-threading, profiling, performance tuning and RMI Hands-on experience with microservices and event-driven architectures Cloud platforms (AWS, Azure or GCP) and Terraform A track record with TDD, Agile and automated build/deployment practices Practical experience with JUnit/Spock and mocking frameworks like Mockito ...

SOLID principles, Design Patterns and Clean Code. You'll also work with microservices and event-driven architectures, cloud platforms such as AWS, Azure or GCP, and infrastructure-as-code tools like Terraform. Testing coverage will rely on JUnit, Spock and Mockito, applying TDD and BDD along … 11+, Spring Boot, multi-threading, profiling, performance tuning and RMI Hands-on experience with microservices and event-driven architectures Cloud platforms (AWS, Azure or GCP) and Terraform A track record with TDD, Agile and automated build/deployment practices Practical experience with JUnit/Spock and mocking frameworks like Mockito ...

maintaining the infrastructure to acquire data from the data platform, deploy models, maintain, monitor and upgrade core data science services in both Azure and GCP that supports the deployment of machine learning models across the enterprise. You’ll work closely with Data Scientists, Platform Engineers, and Developers to ensure seamless … Experience with TDD. Experience with infrastructure as code tools like Terraform or similar. Infrastructure as Code (IaC) tools. Hands on experience with cloud platforms (GCP, AWS, or Azure). Familiarity with containerization using Docker and orchestration of deployments. Experience with CI/CD tools and Git-based development workflows. Understanding ...

TensorFlowStrong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges such as prompt engineering, latency and cost optimisationExperience with cloud platforms (AWS, GCP or Azure) and infrastructure-as-code such as TerraformHands-on with DevOps practices (CI/CD, Docker, Kubernetes) and observability tools like Prometheus, Grafana ...

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. the ...

data ingestion and transformation, and event-driven (Pub/Sub) architectures. This role focuses on building secure, scalable identity and access workflows across Google Cloud Platform, integrating identity services with custom APIs, Pub/Sub pipelines, and cloud-native applications. You will collaborate closely with tech leads, Cloud Security, DevOps ...

Senior Site Reliability Engineer Southampton HQ - 2 Times a week in Office Cloud, SaaS, AWS, The company deliver cutting-edge enterprise software solutions across both cloud and on-premises environments, empowering organisations to enhance customer ...

The company deliver cutting-edge enterprise software solutions across both cloud and on-premises environments, empowering organisations to enhance customer experiences, maintain regulatory compliance, and proactively fight fraud. The company are trusted by businesses worldwide ...

making practical engineering trade-offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application ...

making practical engineering trade-offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application ...

response processes Exposure to large-scale CDN, edge, or traffic-routing environments Experience working in globally distributed infrastructure or platform teams Basic experience using GCP and Azure What's in it for you We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes ...

making practical engineering trade‐offs across performance, scalability, reliability, security, maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application ...

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed ...

Cloud & AWS Knowledge: Strong experience with AWS and native services, particularly EKS, EC2, VPC, S3, and Transit Gateways. Experience with other major cloud platforms (GCP, Azure) is a plus. Containerisation & Orchestration: Extensive knowledge of containerisation (Docker) and orchestration platforms (Kubernetes). Ability to deploy and manage clusters at scale. Database ...

orchestration frameworks (e.g., Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead‐letter queues, error isolation). Cloud & Infrastructure : Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations : Application instrumentation (metrics, distributed tracing, structured logging) and production support in high ...

broad set of technologies as we evolve the platform. Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog, Grafana Dashboarding: Preset ...

with modern AI technologies such as LangGraph, Google ADK, Microsoft Agent Framework, LlamaIndex and similar tools.* Deploying AI solutions across cloud platforms including Azure, GCP and Snowflake.* Embedding responsible AI principles, evaluation frameworks, safety controls and assurance mechanisms throughout the AI lifecycle.* Integrating external AI services and APIs into enterprise ...

with modern AI technologies such as LangGraph, Google ADK, Microsoft Agent Framework, LlamaIndex and similar tools.* Deploying AI solutions across cloud platforms including Azure, GCP and Snowflake.* Embedding responsible AI principles, evaluation frameworks, safety controls and assurance mechanisms throughout the AI lifecycle.* Integrating external AI services and APIs into enterprise ...

with modern AI technologies such as LangGraph, Google ADK, Microsoft Agent Framework, LlamaIndex and similar tools. Deploying AI solutions across cloud platforms including Azure, GCP and Snowflake. Embedding responsible AI principles, evaluation frameworks, safety controls and assurance mechanisms throughout the AI lifecycle. Integrating external AI services and APIs into enterprise ...

fast-paced environments What will help you on the job Experience with modern web development frameworks, particularly Next.js,React, and TypeScript Familiarity with Google Cloud Platform services, especially BigQuery andCloud Run Knowledge of enterprise authentication patterns including SSO, SAML, OAuth,and RBAC Experience processing and optimizing applications that work with ...

stakeholders. Proven experience providing architecture governance, design authority, and technical leadership across complex transformation programmes. Strong knowledge of cloud platforms including Azure, AWS, or GCP and their associated data and AI services. Excellent communication, stakeholder management, and consulting skills, with the ability to influence both technical teams and executive leadership. ...

AI Engineer – Campus and Graduate Level Experience: 1–3 years of relevant experience through internships, academic projects, research, freelance work, or professional roles Location: [Location/Hybrid/Remote] Reports to: Agentic AI Architect/ ...

/orchestration frameworks (e.g., Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead-letter queues, error isolation)Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloadsObservability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high-availability ...

data solutions for each challenge. With technologies spanning Python, SQL, cloud‐native data services, streaming platforms, and modern data tooling across AWS, Azure and GCP, you’ll have opportunities to deepen your expertise, explore new approaches, and grow your career. Role Responsibilities This is a varied role that requires adaptability … with experience using Python to build, test, and operate data pipelines and services. Proficiency with at least one major cloud platform (AWS, Azure, or GCP), delivering scalable, secure, and well‐architected data solutions. Strong experience working with core data stores, including relational databases such as PostgreSQL and Microsoft SQL. Experience ...