126 to 150 of 2,159 GCP Jobs in London

e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. ...

pipelines, Git, and containerised environments (Docker). Understanding of test design, debugging, and failure analysis. Some exposure to cloud platforms (AWS, Azure, or GCP). Desirable Experience Experience testing AI services, LLMs, or Agentic AI workflows. Hands‐on with performance or load testing tools (JMeter, Gatling). Familiarity with Kubernetes ...

predictive algorithms Hands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP) Knowledge of MLOps practices and tools like Databricks or MLflow Ability to tackle ambiguous problems with structured, analytical approachesStrong verbal and written communication skills ...

environment (Agile preferred)Strong problem-solving skills and ability to work in a dynamic environmentPreferred Experience (Nice to Have)Cloud experience (AWS, Azure, or GCP)Exposure to DevOps practices (CI/CD, Docker, Kubernetes)Experience in international or bilingual work environmentsKnowledge of microservices architecture or scalable system designDomain experience (e.g. ...

Hands-on experience with databases such as PostgreSQL, MySQL, or MongoDB. Familiarity with asynchronous programming and performance optimization techniques. Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker. Knowledge of CI/CD pipelines and version control systems such as Git. Strong problem-solving skills ...

device binding/attestation, and experience in consolidating fragmented user identities into a unified identity model. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes). Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill. Experience with Domain-Driven ...

skills; able to work effectively with diverse teams and stakeholders. Strong analytical, problem-solving, and decision-making skills. Familiarity with cloud platforms (AWS, Azure, GCP) and modern architecture patterns (microservices, APIs, event-driven).Experience with Agile methodologies and DevOps practices. Who we are: At NTT DATA, you have endless opportunities ...

NoSQL); API development (REST, GraphQL, gRPC) and event-driven architectures; Caching strategies and message queue systems (Redis, Kafka, RabbitMQ); Cloud platforms (AWS, Azure, GCP) with containerisation (Docker, Kubernetes); CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation); Monitoring, observability, and performance optimisation tools; You can keep a cool head ...

tooling, add new guardrails, and partner with Aura teams on secure design. The Role: Develop cloud-native controls in Azure, AWS and/or GCP to enforce the security baseline at scale, integrating with open-source and vendor tools as needed. Enhance product security along the software development lifecycle ...

Skills & Experience Proven experience working as a Cloud Architect within secure or enterprise environments Strong knowledge of cloud platforms such as AWS, Azure, or GCP Experience designing secure and scalable cloud-native architectures Strong understanding of networking, infrastructure, and security principles Experience with Infrastructure as Code tools such as Terraform ...

with infrastructure tools or observability stacks (e.g. Grafana, Prometheus, EFK) Confidence in working with cloud-native platforms and tools (e.g. Kubernetes, Terraform, AWS/GCP, Docker) Excellent communication skills under pressure, being able to influence across client, product and engineering boundaries Demonstrated ability to lead without authority; especially in escalations ...

experience with Service Mesh architectures and sidecar patterns.* Cloud Mastery: Expert-level knowledge of at least one major cloud provider (AWS, Azure, or GCP), with a focus on their managed Kubernetes and Serverless offerings.* Automation & Code: Proficiency in Terraform, Helm, and YAML. Ability to read/write code ...

code and DevSecOps processes to support distributed, containerised microservices architectures. Integrating our core platform services across multiple cloud environments, including AWS, Azure, and GCP, to provide flexible solutions for our global clients. Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction and accelerates the deployment ...

transitioning to an AI-native Data Engineering landscape A strong Python and SQL engineer with experience usingdbt, Spark and Terraform Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data storage and modelling principles, including dimensional modelling,lakehousepatterns ...

management skills. Hands-on enterprise systems development experience (C#, Java, JavaScript/TypeScript, C++ or similar).Proficiency in cloud platforms (AWS preferred; Azure/GCP), containerisation, and microservices. Strong knowledge of APIs, system integration, and DevOps (CI/CD, infrastructure-as-code, Git).Understanding of security practices (application, cloud, authentication ...

production Deep understanding of modern full-stack engineering (TypeScript, React/Next.js, tRPC, etc.) Experience with cloud-native infrastructure, especially serverless, AWS/GCP, and CI/CD workflows Expertise in relational and NoSQL data systems (PostgreSQL, MongoDB, Redis) Solid command of system-level concerns—latency, availability, caching, concurrency Experience ...

automation, scalability, and systematic acceleration through the use of AI and agentic workflows. Advanced Cloud Engineering: Strong engineering background in securing cloud platforms (GCP preferred), containerized workloads (Kubernetes/Docker), and deploying robust Zero Trust frameworks. Acute Business & Risk Acumen: Exceptional ability to evaluate security through a commercial and scientific ...

networking, and storage for high-throughput training workloads. Serve as the authoritative AI infrastructure expert in at least one hyperscaler cloud (AWS, Azure, or GCP), applying deep knowledge of its AI/ML services, accelerators, networking, and cost levers. Design deployment, automation, and CI/CD strategies for reliable, repeatable ...

environments. Strong stakeholder and client engagement experience. Strong expertise in Snowflake Administration and/or Confluent Kafka Platform. Experience with Azure/AWS/GCP cloud platforms. Good understanding of SCM tool like GitHub and CI/CD pipelines, and automation frameworks. Experience with Kubernetes, containerization, and cloud‐native platforms. ...

updates on project status and key initiatives Deep understanding of cloud computing principles and technologies, with experience working with major cloud providers (AWS, Azure, GCP)Excellent problem-solving and troubleshooting skillsHands on experience in software development methodologies and Agile based deliveryDegree in Computer Science, Engineering, or a related field ...

interconnect/networking, and storage for high-throughput training workloads. Serve as the authoritative AI infrastructure expert in at least onehyperscalercloud (AWS, Azure, or GCP), applying deep knowledge of its AI/ML services, accelerators, networking, and cost levers. Design deployment, automation, and CI/CD strategies for reliable, repeatable ...

monitoring and early detection of issues Configure, troubleshoot, and maintain cloud infrastructure components across multiple environments Requirements Cloud infrastructure experience with AWS, Azure, or GCP Infrastructure as Code experience using Terraform, CloudFormation, or similar tools Linux administration and scripting skills using Bash, Python, or similar technologies Familiarity with containerisation ...

both Camunda 7 and Camunda 8 Experience with Camunda SaaS and self-managed deployments at scale Exposure to cloud platforms such as: AWS Azure GCP Experience with observability tooling such as: Prometheus Grafana OpenTelemetry Experience with: enterprise integration patterns API management workflow/task UI customisation Experience in regulated industries ...

experience taking ownership of production infrastructure and incidents The ability to make pragmatic technical decisions and clearly explain infrastructure trade‐offs. Strong AWS or GCP experience could also be relevant where you can demonstrate the ability to transfer that knowledge into an Azure environment. Experience with high‐availability infrastructure, PostgreSQL ...

production, making practical engineering trade-offs across performance, scalability, reliability, security, maintainability, and costExpert 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 environmentsStrong experience designing and implementing application programming ...