76 to 100 of 740 Google-Cloud-Platform Jobs

must haves • Strong Python skills with proven data engineering experience • Advanced SQL skills, including analytics and data quality practices • Hands-on experience with GCP services such as BigQuery, Cloud Storage, Pub/Sub and Cloud Functions • Experience building and managing production data pipelines and data warehouse solutions • Knowledge ...

software engineering/cloud/modernization Prior experience in technical training or workshops Strong communication and facilitation skills Good to Have: AWS/GCP exposure, AI/LLM basics Relevant certifications (Azure/Kubernetes/Mainframe) Strongly Recommended (Good to have) • IBM certifications in z/OS, COBOL ...

Experience building scalable production systems Understanding of APIs, distributed systems, microservices, and system design Experience with cloud platforms such as Azure, AWS, or GCP Familiarity with DevOps/MLOps tooling including Docker, Kubernetes, CI/CD, monitoring, and logging Comfortable operating in fast-paced, product-led environments Nice ...

including image creation, container management (including security patching) and orchestration • Infrastructure as Code using Terraform, Ansible or CloudFormation • Experience of cloud compute - AWS, GCP or Azure (primarily AWS) • GitOps tooling such as Argo CD • Infra security, compliance and governance • Familiarity with CNCF ecosystem and building platforms ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure ...

services or consulting environment Resource and capacity planning — familiar with utilisation tracking and forecasting Cloud platform knowledge: AWS, Azure, and/or GCP Container and microservices architecture: Kubernetes, Docker, OpenShift Scripting and automation: Python, Bash advantageous Familiar with delivery and project tooling: JIRA, Confluence, ServiceNow About ...

autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices Why Join Capco Deliver ...

customersdigital and data transformation using modern cloud platforms. We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, including API/microservices patterns and data platforms such as AWS-native analytics services and Snowflake. As an AWS API Engineer/Data Architect at Capgemini ...

Java, C, C#, C++, or similar programming languages 2+ years of experience in SQL databases 2+ years of experience in AWS, Azure, or GCP services 2+ years of experience with CI/CD pipelines and DevOps practices 2+ years of experience with Agile methodologies 4+ years of an equivalent combination ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini ...

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 ...

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

services, API gateways, and integration layers Practical application of TOGAF (or similar enterprise architecture frameworks) Hands on experience with cloud platforms (AWS, Azure, GCP) and cloud native design patterns Strong knowledge of: Microservices vs monolithic architectures Cloud native, hybrid, and on premise solutions Digital transformation and modernisation ...

innovation. Familiarity with industry trends such as AI, Machine Learning, and cloud technologies Experience of Managing cloud services (e.g., AWS, Azure, GCP). Experience overseeing integration, and end-to-end tests using tools such as Junit, Test Containers, Vitetest and StoryBook. Expertise in developing and deploying onto ...

working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG) Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered) Strong understanding of APIs, microservices, and distributed systems Familiarity with tools like Docker, Kubernetes , and CI/CD pipelines Experience working with data ...

members, ensuring delivery excellence and code quality. Cloud Transformation: Lead the transition of hosting platforms from legacy systems to Kubernetes-based environments on GCP or AWS. Full-Stack Delivery: Architect and maintain robust, scalable applications using Java 17+ and Angular . Data Modernization: Oversee complex data migrations, including Elasticsearch ...

/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking ...

/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking ...

/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking ...

grow with the teams as they scale. The Tech Stack: • Java/Kotlin (JVM ecosystem) • Spring/Spring Boot • Microservices architecture • AWS/GCP cloud-native platforms • Docker & Kubernetes • Messaging & streaming systems (Kafka etc.) • Observability & distributed tracing tooling What You'll Be Doing: • Designing and building resilient, distributed systems ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical ...