426 to 450 of 1,731 Remote GCP Jobs

know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/GCP). Interest in AI and raising team AI skills. What we offer Competitive salary and share option plan 25 days annual leave, plus public holidays Excellent pension scheme, matched to More ❯

technical authority, guiding developers through code reviews and best practice. Collaborate with clients to translate business challenges into scalable platform designs. Integrate ServiceNow with major cloud platforms (AWS, Azure, GCP). Support continuous improvement of delivery methods and technical standards. Skills & Experience Proven background in ServiceNow development and architecture. Experience leading development teams and enforcing technical quality standards. 5+ ServiceNow More ❯

technical authority, guiding developers through code reviews and best practice. Collaborate with clients to translate business challenges into scalable platform designs. Integrate ServiceNow with major cloud platforms (AWS, Azure, GCP). Support continuous improvement of delivery methods and technical standards. Skills & Experience Proven background in ServiceNow development and architecture. Experience leading development teams and enforcing technical quality standards. 5+ ServiceNow More ❯

technical authority, guiding developers through code reviews and best practice. Collaborate with clients to translate business challenges into scalable platform designs. Integrate ServiceNow with major cloud platforms (AWS, Azure, GCP). Support continuous improvement of delivery methods and technical standards. Skills & Experience Proven background in ServiceNow development and architecture. Experience leading development teams and enforcing technical quality standards. 5+ ServiceNow More ❯

AWS MSK, etc.) Strong proficiency in Java, Python, or Scala Solid understanding of event-driven architecture and data streaming patterns Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes Knowledge of More ❯

build tool). SQL and various database management system skills. a good understanding of different database types, designs, and data modelling systems. experience with cloud platforms like AWS and GCP, including services such as BigQuery, RDS, and Athena. familiarity with Tableau and project management tools like and Notion. knowledge of APIs from music Digital Service Providers (e.g., Spotify, Apple Music More ❯

Proven success delivering architecture across large-scale or complex transformation initiatives Expertise across relevant domains, particularly application, integration, and platform architecture Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern approaches (APIs, microservices, DevOps) Skilled in navigating delivery environments (Agile, hybrid, regulated change) Familiarity with architectural modelling tools and frameworks (TOGAF, ArchiMate, UML, etc.) Confident engaging with both More ❯

Proven success delivering architecture across large-scale or complex transformation initiatives Expertise across relevant domains, particularly application, integration, and platform architecture Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern approaches (APIs, microservices, DevOps) Skilled in navigating delivery environments (Agile, hybrid, regulated change) Familiarity with architectural modelling tools and frameworks (TOGAF, ArchiMate, UML, etc.) Confident engaging with both More ❯

helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit from More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

time on: Building and productionising LLM-based features and GenAI workflows. Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production. Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems. Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation. Partnering with Data Engineers More ❯

processes, tools, and best practices. Skills and Experience Solid experience in full stack development , ideally with Kotlin, Java, React, TypeScript, and Next.js . Understanding of cloud-based development (Google Cloud Platform or similar). Familiarity with microservices, REST APIs, and modern frontend frameworks. Strong problem-solving skills and a proactive approach to learning. Comfortable working in agile teams and delivering More ❯

processes, tools, and best practices. Skills and Experience Solid experience in full stack development , ideally with Kotlin, Java, React, TypeScript, and Next.js . Understanding of cloud-based development (Google Cloud Platform or similar). Familiarity with microservices, REST APIs, and modern frontend frameworks. Strong problem-solving skills and a proactive approach to learning. Comfortable working in agile teams and delivering More ❯

uptime in high-traffic, event-driven scenarios. Youll bring: Proven experience leading engineering teams, ideally within iGaming Deep .NET expertise (C#, ASP.NET, SQL Server) Cloud experience (AWS, Azure or GCP) Exposure to CI/CD, Git and DevOps workflows Strong communication and problem-solving skills Its a bonus if youve worked with: Payment integrations, compliance frameworks (AML/KYC), gaming More ❯

in high-traffic, event-driven scenarios. You’ll bring: Proven experience leading engineering teams, ideally within iGaming Deep .NET expertise (C#, ASP.NET, SQL Server) Cloud experience (AWS, Azure or GCP) Exposure to CI/CD, Git and DevOps workflows Strong communication and problem-solving skills It’s a bonus if you’ve worked with: Payment integrations, compliance frameworks (AML/ More ❯