251 to 275 of 1,830 Permanent GCP Jobs

Cloud, Integration or Platform Engineering teams Strong experience with modern data platform technologies, including Snowflake and/or Kafka. Experience with Azure, AWS or GCP Good knowledge of Kubernetes and containerised platforms Experience with CI/CD pipelines, Git-based source control and automation Understanding of platform governance, security ...

shift 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 ...

infrastructure services, preferably with Kubernetes.Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).You have excellent communication skills and the ability to work well within a team ...

related technical field required.Master’s degree strongly preferred.Experience & SkillsExperience developing enterprise‐grade software deployed on major cloud providers (Azure highly preferred; AWS or GCP also considered).Strong background in Java development within cloud‐native architectures.Experience with modern JavaScript frameworks such as React or Angular.Exposure to Kubernetes and Kafka is beneficial.Some ...

underpin AI-driven transformation. Your responsibilities will include:Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads.Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other … Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/ ...

underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift … Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/ ...

they are being adopted to connect AI agents with enterprise commerce systems and product data Working knowledge of cloud platforms (AWS, GCP, or Azure) for AI deployment, including familiarity with cloud-native services and CI/CD-based delivery practices Understanding of AI governance and responsible AI principles — including observability ...

complex enterprise initiatives Technical Environment Experience in several of the following areas would be beneficial: Snowflake Kafka or other streaming technologies Azure, AWS or GCP Kubernetes and container-based platforms Data Warehousing and Data Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks ...

familiar and/or have experience with a majority of these: Hands-on experience configuring one or more public cloud environments (AWS, Azure, GCP).Hands-on experience with CI/CD tooling.Proficiency with infrastructure-as-code, e.g. Terraform.Proficiency with programming/scripting languages (e.g. Python, Bash, PowerShell).Experience building ...

familiar and/or have experience with a majority of these: Hands-on experience configuring one or more public cloud environments (AWS, Azure, GCP).Hands-on experience with CI/CD tooling.Proficiency with infrastructure-as-code, e.g. Terraform.Proficiency with programming/scripting languages (e.g. Python, Bash, PowerShell).Experience building ...

familiar and/or have experience with a majority of these: Hands-on experience configuring one or more public cloud environments (AWS, Azure, GCP).Hands-on experience with CI/CD tooling.Proficiency with infrastructure-as-code, e.g. Terraform.Proficiency with programming/scripting languages (e.g. Python, Bash, PowerShell).Experience building ...

familiar and/or have experience with a majority of these: Hands-on experience configuring one or more public cloud environments (AWS, Azure, GCP).Hands-on experience with CI/CD tooling.Proficiency with infrastructure-as-code, e.g. Terraform.Proficiency with programming/scripting languages (e.g. Python, Bash, PowerShell).Experience building ...

lifecycle management.Productionise machine learning and scientific computing workflows using Python, container technologies and modern software engineering practices.Develop cloud-native data pipelines across AWS and GCP to support ingestion, transformation, storage and inference workloads.Build integrations between laboratory systems, operational platforms and cloud environments using APIs and event-driven architectures.Support the collection ...

Support or Platform Operations. Experience supporting bespoke business-critical applications. Previous leadership, mentoring or team management experience. Cloud platform experience (AWS preferred, Azure or GCP also considered). Experience working within Agile or DevOps environments. Strong troubleshooting, problem-solving and incident management skills. Excellent communication and stakeholder management abilities. Desirable ...

domains is a 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 ...

operations such as: Flight Operations Crew Management Airport Operations Flight Planning Disruption Management Schedule & Resource Management Exposure to cloud platforms (AWS/Azure/GCP). Experience with Agile/Scrum methodologies. Educational Qualification Bachelor's or master's degree in computer science, Information Technology, Engineering, or equivalent. Nice ...

cross-platform integrations.Experience with DevOps tools (CI/CD pipelines, GitHub, Jenkins).Experience with SAP RISE, hyperscaler-native services (Azure/AWS/GCP).Familiarity with automation tools and scripting (Shell, Python, PowerShell).Strong leadership, communication, and stakeholder engagement skills.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering ...

Jenkins, Github Actions)Expertise with Golang, Python, Docker, Kubernetes and the related ecosystems.Knowledge of deployment processes in the cloud (Cloud Formation, Terraform, ARM Templates, GCP Cloud Deployment Scripts)Experience working with a team distributed across time zones. MINIMUM QUALIFICATIONS:Demonstrable experience working with KubernetesDesire to automate the boring stuffProficient ...

Python, SQL) and a willingness to learn (or existing knowledge of) Spark.Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).Pre-Sales & Customer-Facing Skills:Proven ability to engage with customers ...

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 ...

technology stackWe rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex ...

technology stackWe rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex ...

skills; both written and verbalPublic Cloud Architecting: Hands-on experience designing and implementing big data architectures within major public cloud environments (AWS, Azure, or GCP)Strategic Enablement & Community MentorshipExperience collaborating with Professional Services and Global Systems Integrators to standardize migration delivery methodologies and ensure smooth handoffs.About DatabricksDatabricks is the Data ...

back end Experience building microservices on container based infrastructure (Kubernetes, Docker, etc.) Solid hands-on experience with a major cloud platform (AWS, Azure, or GCP) Strong grounding in Agile/Lean ways of working The Work We work across a range of well-known tech organisations and brands, with ongoing ...

strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure ...