51 to 75 of 766 Permanent GCP Jobs

experience working with LLMs (prompt engineering, fine-tuning, embeddings, vector databases, RAG) Experience building and deploying applications in cloud environments (Azure preferred, AWS/GCP also considered) Strong understanding of APIs, microservices, and distributed systems Familiarity with tools like Docker, Kubernetes , and CI/CD pipelines Experience working with data ...

mentor, helping teams adopt modern DevSecOps approaches Key skills required Cloud Platforms: Strong experience with AWS (primary), with exposure to Azure and/or GCP DevSecOps & Automation : End-to-end ownership of CI/CD pipelines (GitLab or similar), Infrastructure as Code (Terraform, Ansible, Puppet), and Linux-based scripting Security ...

systems Coaching teams and influencing DevSecOps maturity across programmes Supporting live systems and solving complex operational challenges Expereince Required: Cloud & Platforms AWS (Azure/GCP a bonus) DevSecOps & Automation CI/CD (GitLab or similar) Infrastructure as Code (Terraform, Ansible, Puppet) Scripting/automation (Python, Bash, Rust etc.) Containers & Architecture ...

scripting. Proficient in PowerShell scripting. Experience integrating PAM with LDAP, EntraID and Active Directory. Familiarity with cloud PAM solutions and cloud platforms (Azure, AWS, GCP). Good verbal and written communication skills and compliance awareness Preferred Qualifications Experience with other PAM tools (e.g., BeyondTrust). Programming in C#, .NET, Python ...

Python, Bash, or PowerShell. Demonstrated experience with configuration management tools such as Ansible, Chef, or Puppet. Demonstrated familiarity with cloud platforms (Oracle, AWS, Azure, GCP) and containerization (Docker, Kubernetes). Preferred Additional Skills: Knowledge of data warehousing and big data technologies. Certification in cloud platforms or database management. Experience with ...

configuration management. Kubernetes for container orchestration. Experience with microservices, API design, event-driven systems. Understanding of Docker, cloud platforms (AWS/Azure/GCP), and observability tools. Personal Attributes Strong analytical and problem-solving skills. Clear communicator with varied audiences. Proactive, collaborative, and delivery-focused. Enthusiastic about continuous learning ...

C#, TypeScript, Kotlin, Java, or Go. Strong experience building and optimizing systems for performance, scalability, and reliability. Hands‐on experience with cloud platforms: AWS, GCP, Azure. Infrastructure as Code expertise using Terraform. Practical experience with DevOps and infrastructure tooling: CI/CD pipelines Docker Kubernetes (K8s) Experience with monitoring ...

deployment and monitoring Strong knowledge of Python and sound engineering principles, including testing, automation and code quality Strong experience with cloud platforms such as GCP Experience with Docker, Kubernetes and modern containerised deployment patterns Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration Experience with tools ...

degree in IT Security, Information Systems, or equivalent Minimum of 4+ years of experience working with commercial cloud service providers (AWS, Azure, or GCP) Extensive experience with Containerization (Docker, Kubernetes) and Container Security Experience designing Infrastructure as Code solutions using Terraform or Ansible Strong proficiency in CI/CD tooling ...

SAFe Agilist, or equivalent agile certifications. PMP, PRINCE2, or MSP qualifications. Hands‐on understanding of Kubernetes, container orchestration, and cloud platform architecture (AWS, Azure, GCP). Experience building or scaling a managed services business line from early stage. Experience implementing and operating ITSM tooling (ServiceNow, Jira Service Management, or similar ...

using and configuring monitoring tools, ideally Grafana and Prometheus, to identify insights and alert to potential issues Experience using and configuring cloud infrastructure (ideally GCP but Azure also desirable) Experience with IaC tools (ideally Terraform) Experience with Docker, Kubernetes and Helm Knowledge of security and reliability best practices for cloud ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience Nice to have Experience with cloud platforms (AWS, Azure, GCP) Familiarity with containerisation (Docker, Kubernetes) Prior experience as a Palantir FDE or in Foundry‐heavy delivery roles Domain experience in industries such as Energy, Finance, Public ...

backed or VC-backed organisations ERP systems (SAP S/4HANA, Oracle, Microsoft Dynamics) Software engineering (Java, .NET, Python, React) Cloud platforms (AWS, Azure, GCP) DevOps & Platform Engineering (CI/CD, Kubernetes, Docker) Data & Analytics, Cybersecurity, AI/ML Embedded systems, IoT, or digital transformation programmes Enterprise architecture or high ...

Bachelor’s or Master’s in Computer Science, Engineering, or a related field. Training or certification in cloud platforms (any of AWS, Azure, or GCP). Documented expertise in agile or DevOps methodologies. Proven success architecting enterprise data solutions. Demonstrated commitment to building inclusive and high‐performing teams. Evidence ...

shipped and operated production systems, not just built prototypes. Strong infrastructure and DevOps skills: hands-on experience with Azure (or comparable cloud, AWS or GCP), containerisation (Docker), CI/CD, and infrastructure-as-code. Solid full-stack experience with Python backends (FastAPI or similar), React/TypeScript frontends, and relational ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based AI/ ...