251 to 275 of 1,517 GCP Jobs

NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools ...

NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools ...

working with: Security Development and Test Manager Location: Birmingham – Hybrid | Clearance: UK SC clearable Industry Focus: Telecommunications (CNI) Scope: Hybrid Multi-Cloud (GCP, AWS, Azure, OCI) & On-premises Data Centres About Us NTT DATA is one of the world's largest global security services providers with over 7,500 security ...

Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD.Data and architecture: Modelling across relational, columnar and vector stores, grounded ...

REQUIREMENTS:Strong software development experience in one of Java, Scala, or PythonSoftware development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks. Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment Proficient in SQL and SQL extensions ...

innovative solutions suited to client needs. Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. Technical Leadership: Oversee data modelling, data governance, and data quality frameworks while driving technical excellence. Strong hands-on experience in technologies such … teams to establish CI/CD architectures using Azure DevOps, Kubernetes, and Terraform. Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and associated data services Guide the selection and implementation of analytics and reporting tools (Power BI, Tableau, PowerApps). Stakeholder Engagement: Able to work closely ...

/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems, and performance considerations. DevOps & Engineering Practices Experience with CI/CD tools (Azure DevOps, GitHub Actions … orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years experience working on data engineering or large-scale data solutions. Comfortable working in Agile delivery teams. ...

modern cloud technologies. You'll be responsible for maintaining, securing and improving the infrastructure supporting business-critical payment platforms, working across Google Cloud Platform (GCP), Linux, Kubernetes, Terraform, networking and database technologies. Key responsibilities include: Manage, maintain and optimise cloud infrastructure hosted on Google Cloud Platform (GCP). Administer Linux … infrastructure management. Essential experience: Significant commercial experience managing production infrastructure environments. Strong Linux administration, configuration and troubleshooting skills. Experience with cloud platforms such as GCP, AWS or Azure. Hands-on experience with Kubernetes in production environments. Experience with Terraform or similar Infrastructure as Code technologies. Strong networking knowledge, including ...

modern cloud technologies. You'll be responsible for maintaining, securing and improving the infrastructure supporting business-critical payment platforms, working across Google Cloud Platform (GCP), Linux, Kubernetes, Terraform, networking and database technologies. Key responsibilities include: Manage, maintain and optimise cloud infrastructure hosted on Google Cloud Platform (GCP). Administer Linux … infrastructure management. Essential experience: Significant commercial experience managing production infrastructure environments. Strong Linux administration, configuration and troubleshooting skills. Experience with cloud platforms such as GCP, AWS or Azure. Hands-on experience with Kubernetes in production environments. Experience with Terraform or similar Infrastructure as Code technologies. Strong networking knowledge, including ...

distributed systems architecture Cloud, Containers & Infrastructure Kubernetes and Docker Container orchestration and management Linux-based production environments AWS, Microsoft Azure or Google Cloud Platform (GCP) Cloud infrastructure engineering High-availability and fault-tolerant architectures Load balancing, scalability and configuration management DevOps, Automation & Reliability Engineering Infrastructure as Code (IaC) Terraform ...

cloud technologies. \n You'll be responsible for maintaining, securing and improving the infrastructure supporting business-critical payment platforms, working across Google Cloud Platform (GCP), Linux, Kubernetes, Terraform, networking and database technologies. \n Key responsibilities include: \n \n Manage, maintain and optimise cloud infrastructure hosted on Google Cloud Platform (GCP … Significant commercial experience managing production infrastructure environments. \n Strong Linux administration, configuration and troubleshooting skills. \n Experience with cloud platforms such as GCP, AWS or Azure. \n Hands-on experience with Kubernetes in production environments. \n Experience with Terraform or similar Infrastructure as Code technologies. \n Strong networking knowledge, including ...

looking for Strong experience designing, building and operating production-grade cloud-native platforms. Hands-on expertise with Kubernetes, Terraform and public cloud environments, ideally GCP or AWS. Strong software engineering skills in Go, C# or TypeScript, with experience building production tooling, services or automation. Experience with GitOps, ArgoCD ...

similar. This isn't a pure infrastructure role Comfortable working directly with clients and senior stakeholders Desirable: a second cloud platform (Azure or GCP), a consultancy or professional services background, and relevant certifications such as AWS Solutions Architect, Terraform Associate or CKA Package 27 days holiday: 26 days plus your ...

ability to manage competing tasks effectively Clear written and verbal communication skills A constructive approach to feedback and continuous improvement Knowledge of AWS or GCP infrastructure management and exposure to Python, Java, Jenkins, Kubernetes, Bash or the AWS CLI would be advantageous A relevant computing degree or equivalent experience within ...

security left across the full delivery lifecycle. Responsibilities: Design and implement cloud security architectures on AWS (primary), with exposure to Azure and/or GCP being advantageousBuild and maintain secure infrastructure using Infrastructure as Code (Terraform), including reusable, security-hardened modules and reference patternsIntegrate security tooling and automated controls into ...

standards, documentation, code review and continuous improvement. Support business-critical services through the shared on-call rota. About You: Practical cloud experience in AWS, GCP, Azure or another major cloud environment. Container experience, such as Kubernetes or ECS. Infrastructure-as-code experience, ideally Terraform or a comparable tool. Experience contributing ...

internet services. Experience with building and shipping cloud-connected endpoint software. Solid grounding in the technology of at least one cloud environment (AWS, Azure, GCP).Exposure to/experience with cybersecurity and intelligence.#LI-YA1#LI-SN2Benefits of Working at CrowdStrike: Market leader in compensation and equity awardsComprehensive physical and mental wellness ...

senior client stakeholders — able to build trust, communicate delivery status with clarity, and navigate competing priorities and risks Working knowledge of cloud platforms (AWS, GCP, or Azure) as deployment and infrastructure environments for commerce and AI systems Demonstrable interest in agentic commerce and AI — through delivery of AI-powered features ...

experience in solution architecture, platform engineering or enterprise ITMinimum 5 years in the financial services domain with focus on digital transformationDeep expertise in Google Cloud Platform and modern architecture principlesProven experience designing AI-native applications and enterprise GenAI solutions, especially with Gemini Enterprise and Agent PlatformsExperience turning AI prototypes into ...

strong plus and will be valued in candidate evaluation, since it enables broader solution ownership across engagements. Public cloud platforms (AWS, Azure, GCP), particularly hybrid and cloud-adjacent private cloud designs. Networking (routing/switching, data center fabric) given the tight coupling with NSX/OVN-Kubernetes design. Storage architecture ...

concepts such as data modelling, data integration, and how data is used across systems and reporting.- Familiarity with cloud environments (e.g. AWS, Azure, GCP) and modern data architectures.- Experience working in agile environments (e.g. sprint planning, stand-ups, retrospectives).- Proficiency with data and reporting tools (e.g. SQL, Python, Power ...

beyond cloud IAM policiesReliability engineering: SLOs, error budgets and observability built on OpenTelemetryCloud engineering and architecture: Kubernetes & AWS(principally EKS, RDS, AmazonMQ and MSK); GCP familiarity comes in handyWe evaluate candidates based on the sum of their strengths. You may not have depth in all of these areas ...

associated engineering principles. Proficiency with relational and non‐relational databases (e.g., SQL, MongoDB).Experience working with cloud platforms (AWS and/or Google Cloud Platform).Knowledge of React.js and modern frontend development standards. Experience with Docker, Kubernetes, and container orchestration. Understanding of serverless functions and event‐driven architecture. Solid understanding ...

industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning ...

clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure componentsAdditional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms. Familiarity ...