1 to 25 of 308 GCP Jobs in London

GCP DevOps Engineer – (GCP, Google Cloud Platform, DevOps, CI/CD, GKE, Cloud Run, Cloud Build, Architecture, SRE, Kubernetes, Linux, Docker, Google) – Permanent – London/Hybrid Charles Simon Associates are recruiting for a GCP DevOps Engineer in London on an exclusive basis for our rapidly scaling business. Location: London/… deliver robust solutions. Driving cost optimisation and best practices across the GCP estate. What We’re Looking For: Hands-on experience with Google Cloud Platform (must have). Strong background in DevOps/SRE/Cloud Engineering. IaC expertise (Terraform preferred). Experience with Kubernetes/GKE and containerisation (Docker ...

Senior GCP Platform Engineer - 12 Month Contract (Inside IR35) - Hybrid This programme is delivering a large-scale, enterprise Google Cloud Platform (GCP) environment and requires a senior GCP Platform Engineer to help design, build and operate a secure, scalable and highly available cloud platform. You will work at an architectural …/CD pipelines and DevOps practices Solid understanding of networking, IAM, security and governance in GCP Background working in enterprise or large-scale cloud environments GCP Certifications such as Professional Cloud Architect, DevOps Engineer or Associate Cloud Engineer Contract Details Duration: Initial 12 months with strong extension potential Day Rate ...

version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight ...

proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker ...

multiple programming languages such as Python, JavaScript, or similar. Extensive experience writing well-tested code. Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with ...

Python , and microservices (additional languagaes are a benefit). Strong knowledge of Agile , TDD , and DevOps methodologies. Proficiency with cloud platforms (AWS, Azure, or GCP) and Infrastructure as Code. Experience with CI/CD, containerization (Docker, Kubernetes), and automated testing. Proven ability to lead and inspire engineering teams. Excellent communication ...

GCP DevOps Engineer - AI Infrastructure (Financial Services) Location: London Contract Type: Full-time/Permanent 2 days required at Office and 3 from home per week £(Apply online only) DOE Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We're seeking … skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure that supports high-performance AI systems. This is a hands-on technical role with strategic impact across infrastructure, automation, and security. Key Responsibilities Infrastructure & Cloud Engineering Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP) . ...

reliable and scalable back-end systems with an object-oriented 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). Strong ownership mindset ...

software architecture. Hands-on expertise with Java, Spring Boot , and microservices. Strong understanding of Agile and DevOps practices. Familiarity with cloud platforms (AWS, Azure, GCP) and Infrastructure as Code. Experience with CI/CD, containerisation (Docker, Kubernetes), and automated testing. Excellent communication and stakeholder engagement skills. Desirable: Experience in consulting ...

Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML ...

RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. Nice to Have: Experience ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

RESTful APIs. * Experience with Camunda external task pattern and Zeebe (for Camunda 8). * Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). * Understanding of microservices architecture and event-driven systems. * Experience with CI/CD pipelines and DevOps practices. * Excellent problem-solving and communication skills. Preferred Qualifications ...

Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap. Responsibilities Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure Write, review, and manage modular, reusable Terraform code Operate and enhance CI/CD pipelines using GitHub Actions … modular and reusable patterns preferred) Strong foundation in Linux, networking, and container technologies Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable) Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access ...

experience in a cloud security environment CISSP, CCSP, OSCP, SANS or equivalent desirable Certification in one or more cloud vendor offerings such as AWS, GCP, Azure, OCI Specific Knowledge & Experience 3+ years of hands-on cloud security experience, ideally in roles such as cloud security engineer or solutions architect with ...

RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) AI-Native development: use AI tools such as CoPilot or Cursor a collaborator and accelerator of development. Experience in frontend or Android development (e.g. ...

model evaluation techniques Deep understanding of BFSI environments including risk, compliance, and AML/KYC Practical experience with cloud platforms (AWS/Azure/GCP) and containerisation (Docker/Kubernetes) Experience building scalable ML systems and secure, production-grade applications Proven ability to work collaboratively in cross-functional teams Strong ...

paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar). Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes. Experience in managing and deploying services ...

/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using ...

independently in a remote-first environment Desirable Skills Experience with frameworks such as Django is essential for this position. Cloud experience (AWS, Azure, or GCP) Experience with containerisation (Docker, Kubernetes) Knowledge of CI/CD pipelines Database experience (SQL and/or NoSQL) Prior experience working in Agile environments ...

About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using ...

RESTful APIs. Experience with Camunda external task pattern and Zeebe (for Camunda 8). Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP). Understanding of microservices architecture and event-driven systems. Experience with CI/CD pipelines and DevOps practices. Excellent problem-solving and communication skills. Preferred Qualifications ...

hands-on Technical Architect Deep experience with MongoDB, Redis, Elasticsearch , distributed systems, micro-services, and AI/ML integration Cloud experience ( AWS, Azure, or GCP ) and containerisation ( Docker/Kubernetes ) Strong data governance, security, and compliance expertise in regulated environments Excellent communication and stakeholder management skills Modis International Ltd acts ...

Proficiency in Python and developing highly concurrent, scalable API services and microservices in a cloud environment. Extensive, hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Infrastructure as Code (Terraform), Docker - containerisation. An understanding of kubernetes. Understanding of LLM architectures, inference serving optimization techniques (quantisation, caching), and MLOps tooling ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...