876 to 900 of 3,012 Permanent Google-Cloud-Platform Jobs

storage and infrastructure architectures, including FC, iSCSI, NAS, OSD, SAN, virtualization, and distributed environments.Experience with cloud and hybrid infrastructure environments, including AWS, Azure, GCP, and VMware.Knowledge of Linux, NFS file systems, distributed network environments, and general systems architecture.Strong networking and infrastructure knowledge, including Ethernet, TCP/IP, and local ...

we make it easy for developers and AIs to build on health data. hundreds of wearables, sensors, labs, and health apps — connected, normalized, and made intelligent through a single platform. 1,000s of developers and ...

engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow ...

engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow ...

Job DescriptionPurpose of the roleTo design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. AccountabilitiesDevelopment and delivery of high-quality software solutions ...

Job DescriptionPurpose of the roleTo design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. AccountabilitiesDevelopment and delivery of high-quality software solutions ...

engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow ...

engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow ...

engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow ...

evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systems Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing AI/ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal Candidate You demonstrate ...

engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow ...

evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systems Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing AI/ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal Candidate You demonstrate ...

requirements. Preferred:Knowledge of the index business preferred. Experience with agentic solution incorporation Handson experience with cloud-based data platforms and distribution, preferably GCP Familiarity with authentication, SFTP security, RESTful API design. Experience providing functional leadership, mentoring, or coaching within a product or delivery organisation. Personal Attributes Ability ...

evaluation methods, metrics, and benchmarkingPassion for learning new technologies and improving existing systems Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)Experience testing AI/ML services in production environmentsKnowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases)The Ideal Candidate You demonstrate ...

similar) and an eye for interfaces that feel considered rather than merely functional. Cloud infrastructure. Experience deploying and operating distributed services on AWS, GCP, or Azure. Containers and orchestration. Docker and Kubernetes in production. Real-time data. Experience processing or analysing real-time data streams at scale. Retail ...

must be reviewed and validated.Exposure to containers (Docker/Podman/Apptainer) and at least one cloud platform (Azure/AWS/GCP).Initial experience with edge and autonomous deployments, for example deploying software to constrained devices or platforms such as robots, drones, gateways, or on-prem edge ...

developmentComfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/CD for production ...

industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers ...

industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers ...

token management, latency, and cost tradeoffs Basic understanding of web technologies including JavaScript, HTML, and CSS Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases — SQL or NoSQL Ability to validate, evaluate, and improve ...

industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers ...

Python is a plus). React.js and Single‐Page Application development. Developing and deploying containerised applications within the context of cloud platforms (ideally GCP) SQL and management of SQL databases in a cloud environment. Automating complex processes and user journeys, e.g. onboarding, triaging and scheduling. Familiar with spec ...

designing and maintaining CI/CD pipelines (e.g. GitHub Actions, TeamCity, Spacelift or similar tools)Experience with cloud platforms (AWS preferred; Azure or GCP also valuable)Hands-on experience with Infrastructure as Code, particularly TerraformStrong experience with observability practices (logging, monitoring, alerting)Familiarity with tools such as New Relic ...

towards identifying areas for improvement or re-imagination through technology.Technical Acumen: Strong grasp of modern technology stacks, cloud platforms (e.g., Azure, AWS, GCP), APIs, data structures, and the software development lifecycle. Working knowledge of public cloud technologies and basic DevOps principles.Solution-Oriented Problem Solving: Ability to break down ...

architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track recordCloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-codeFull data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both ...