226 to 250 of 3,871 Permanent Google-Cloud-Platform Jobs

cloud resources. 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 Familiarity: Solid understanding of database More ❯

cloud resources. 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 Familiarity: Solid understanding of database More ❯

cloud resources. 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 Familiarity: Solid understanding of database More ❯

cloud resources. 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 Familiarity: Solid understanding of database More ❯

cloud resources. 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 Familiarity: Solid understanding of database More ❯

cloud resources. 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 Familiarity: Solid understanding of database More ❯

are a plus. Proficiency in at least one ML framework, such as scikit-learn, XGBoost, Tensorflow, or PyTorch. Proficiency with Cloud platform(s), such as Google Cloud Platform, Amazon Web Services, or Azure. Experience in designing, and deploying ML pipelines in production environments; knowledge of Kubeflow Pipelines is a plus. Good understanding of ML principles More ❯

professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or More ❯

professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or More ❯

professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or More ❯

professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or More ❯

professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or More ❯

professional experience in backend or software engineering. Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). Strong understanding of version control, CI/CD workflows, and containerised development. Excellent communication and problem-solving skills. Bonus Points For: Experience in AI-driven or More ❯

in a production environment Experience with tackling performance and scalability issues on large, high-throughput systems Advantageous: Experience with evolving architectures and cloud-native architecture (Azure, AWS or GCP) Knowledge of GIT usage and pull request etiquette Experience with JavaScript frameworks (e.g., Angular, React, Svelte, Vue, AngularJS, Knockout) Interest in containerisation (Kubernetes/Docker) Experience with continuous integration and More ❯

from conception to deployment. Capable of conceptualizing and implementing software architectures spanning multiple technologies and platforms. Technology stack Python Flask Java Spring JavaScript BigQuery Redis ElasticSearch Airflow Google Cloud Platform Kubernetes Docker Voted "Best Places to Work," our culture is driven by self-starters, team players, and visionaries. Headquartered in Los Angeles, California, the company operates sites More ❯

applications · Strong React skills (hooks, state management, modern patterns) · Proficient in Python backend development (FastAPI, Flask, or Django) · Cloud technology experience (AWS preferred but happy with Azure and GCP experience) · Experience with Docker, Kubernetes, and Infrastructure as Code · Solid SQL skills and experience with data integration · Experience translating vague business requirements into working software · Track record of delivering projects More ❯

applications · Strong React skills (hooks, state management, modern patterns) · Proficient in Python backend development (FastAPI, Flask, or Django) · Cloud technology experience (AWS preferred but happy with Azure and GCP experience) · Experience with Docker, Kubernetes, and Infrastructure as Code · Solid SQL skills and experience with data integration · Experience translating vague business requirements into working software · Track record of delivering projects More ❯

applications · Strong React skills (hooks, state management, modern patterns) · Proficient in Python backend development (FastAPI, Flask, or Django) · Cloud technology experience (AWS preferred but happy with Azure and GCP experience) · Experience with Docker, Kubernetes, and Infrastructure as Code · Solid SQL skills and experience with data integration · Experience translating vague business requirements into working software · Track record of delivering projects More ❯

Java. Deep knowledge of Node.js and its ecosystem, including popular libraries and frameworks (we love NestJS)! Excellent understanding of cloud platforms such as AWS, Azure or Google Cloud Platform In-depth knowledge of relational (MySQL) and non-relational (MongoDB) databases, with a focus on architectural aspects. Experience with event-driven architecture is a big plus Extensive More ❯

scale datasets, data engineering workflows, and production automation. Python (production grade), SQL, Linux; strong software engineering (testing, type hints, code review, packaging). Cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes; workflow orchestration (Airflow/Prefect); experiment tracking (MLflow/W&B). Machine Learning for time series/tabular data; LLM/agentic systems More ❯

APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating with engineers, product teams, and business stakeholders to deliver robust, production-ready … PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not available) Nice to More ❯

APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating with engineers, product teams, and business stakeholders to deliver robust, production-ready … PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not available) Nice to More ❯

APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating with engineers, product teams, and business stakeholders to deliver robust, production-ready … PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not available) Nice to More ❯

APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating with engineers, product teams, and business stakeholders to deliver robust, production-ready … PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not available) Nice to More ❯

APIs, embeddings, and backend services for AI systems Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications Participating in code reviews , technical discussions, and internal R&D projects Collaborating with engineers, product teams, and business stakeholders to deliver robust, production-ready … PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) Excellent problem-solving skills and a proactive, collaborative mindset Full right to work in the UK (visa sponsorship not available) Nice to More ❯